Summary: Every month, billions of people leverage Meta products to connect with friends and loved ones from across the world. On the Data Engineering Team, our mission is to support these products both internally and externally by delivering the best data foundation that drives impact through informed decision making. As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth, strategy, and experience for our 3 billion plus users, as well as our internal employee community.We are looking for a technical leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support building out a great platform for the future of computing. In this role, you will see a direct correlation between your work, company growth, and user satisfaction. Youll work with some of the brightest minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and see your efforts affect products and people on a regular basis.The ideal candidate will have strong data infrastructure and data architecture skills as well as experience in areas such as governing company wide data marts, enabling security and privacy data solutions, and full stack experience with analytical technologies. Candidates should also have a proven track record of leading and scaling efforts related to end-to-end analytics systems, strong operational skills to drive efficiency and speed, strong project management leadership, and a strong vision for how data can proactively improve companies.As we continue to expand and create, we have a lot of exciting work ahead of us! Required Skills: Data Engineer, Analytics (Technical Leadership) Responsibilities: Proactively drive the vision for data foundation and analytics to accelerate building and improvement of cross platform components across Instagram, and define and execute on plan to achieve that vision. Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve. Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs. Define and manage SLA for all data sets in allocated areas of ownership. Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership. Design, build, and launch collections of sophisticated data models and visualizations that support use cases across different products or domains. Solve our most challenging data integrations problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources. Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts. Influence product and cross-functional teams to identify data opportunities to drive impact. Mentor team members by giving/receiving actionable feedback. Minimum Qualifications: Minimum Qualifications: Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 10+ years experience in the data warehouse space. 10+ years experience in custom ETL design, implementation and maintenance. 10+ years experience with object-oriented programming languages. 10+ years experience with schema design and dimensional data modeling. 10+ years experience in writing SQL statements. Experience analyzing data to identify deliverables, gaps and inconsistencies. Experience managing and communicating data warehouse plans to internal clients. Preferred Qualifications: Preferred Qualifications: BS/BA in Technical Field, Computer Science or Mathematics. Experience working with either a MapReduce or an MPP system. Knowledge and practical application of Python. Experience working autonomously in global teams. Experience influencing product decisions with data. Public Compensation: $206,000/year to $281,000/year + bonus + equity + benefits Industry: Internet Equal Opportunity: Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, were all a part of something bigger than ourselves. Are you ready to change the way the world moves? Enterprise Technology plays a critical part in shaping the future of mobility. If youre looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve peoples lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are. Materials Management Platform (MMP) is a multi-year transformation initiative aimed at transforming Ford's Materials Requirement Planning & Inventory Management capabilities. This is part of a larger Industrial Systems IT Transformation effort. This position responsibility is to design & deploy Data Centric Architecture in GCP for Materials Management platform which would get / give data from multiple applications modern & Legacy in Product Development, Manufacturing, Finance, Purchasing, N-Tier Supply Chain, Supplier Collaboration <ul><li>Design and implement data-centric solutions on Google Cloud Platform (GCP) using various GCP tools like Storage Transfer Service, Cloud Data Fusion, Pub/Sub, Data flow, Cloud compression, Cloud scheduler, Gutil, FTP/SFTP, Dataproc, BigTable etc. </li><li>Build ETL pipelines to ingest the data from heterogeneous sources into our system </li><li>Develop data processing pipelines using programming languages like Java and Python to extract, transform, and load (ETL) data </li><li>Create and maintain data models, ensuring efficient storage, retrieval, and analysis of large datasets </li><li>Deploy and manage databases, both SQL and NoSQL, such as Bigtable, Firestore, or Cloud SQL, based on project requirements </li><li>Collaborate with cross-functional teams to understand data requirements and design scalable solutions that meet business needs. </li><li>Implement security measures and data governance policies to ensure the integrity and confidentiality of data. </li><li>Optimize data workflows for performance, reliability, and cost-effectiveness on the GCP infrastructure. </li><li>Work with data scientists and analysts to integrate machine learning models into data pipelines for predictive analytics. </li><li>Troubleshoot and resolve issues related to data processing, storage, and retrieval. </li><li>Stay updated on industry best practices and emerging technologies within the GCP ecosystem for continuous improvement of data engineering processes. </li><li>Collaborate with stakeholders to gather and define data requirements, ensuring alignment with business objectives. </li><li>Design and implement scalable, fault-tolerant solutions for data ingestion, processing, and storage. </li><li>Develop and maintain documentation for data engineering processes, ensuring knowledge transfer and ease of system maintenance. </li><li>Utilize GCP monitoring and logging tools to proactively identify and address performance bottlenecks and system failures. </li><li>Implement version control and CI/CD practices for data engineering workflows to ensure reliable and efficient deployments. </li><li>Collaborate with DevOps teams to automate infrastructure provisioning and management tasks. </li><li>Optimize and tune database queries and indexing strategies for improved query performance. </li><li>Stay abreast of advancements in GCP services and incorporate relevant technologies into data engineering solutions. </li><li>Provide mentorship and guidance to junior team members, fostering a collaborative and knowledge-sharing environment. </li><li>Participate in on-call rotations to address critical issues and ensure the reliability of data engineering systems. </li><li>Bachelors degree or equivalent work experience (minimum of 12 years), or an associate degree with a minimum of 6 years of equivalent work experience </li><li>At least 5 years of experience in leading/implementing GCP data projects, preferrable implementing complete data centric model </li><li>Automotive experience is preferred </li><li>Support in an onshore/offshore model is preferred </li><li>Excellent at problem solving and prevention. </li><li>Knowledge and practical experience of agile delivery </li> </ul>Even better, you may have.. <ul><li>Experience in IDOC processing, APIs and SAP data migration projects. </li><li>Experience working in SAP S4 Hana environment </li> </ul>You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builderor all of the above? No matter what you choose, we offer a work life that works for you, including: Immediate medical, dental, and prescription drug coverage Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more Vehicle discount program for employees and family members, and management leases Tuition assistance Established and active employee resource groups Paid time off for individual and team community service A generous schedule of paid holidays, including the week between Christmas and New Years Day Paid time off and the option to purchase additional vacation time. For a detailed look at our benefits, click here: Benefit Summary (https://corporate.ford.com/content/dam/corporate/us/en-us/documents/careers/2024-benefits-and-comp-GSR-sal-plan-2.pdf) This position is a salary grade 7-8 . This position is a range of salary grades 7-8. Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660. # LI-Hybrid Requisition ID : 34761

Overview GovCIO is currently hiring for a Data Engineer to develop, inspect, mine, transform, and analyze data to create descriptive and predictive models that impact productivity, decision-making, and provide strategic mission impact. This position will be fully remote within the United States with core hours of operation from Monday to Friday 8AM to 5 PM ET. Responsibilities Using data discovery and data visualization tools, interpret and present findings in a compelling and usable manner. Develop, inspect, mine, transform, and analyze data to create descriptive and predictive models that impact productivity, decision-making, and provide strategic mission impact. Understand Portfolio and VA Metrics and utilize related data to ensure metric objectives are being met Apply data mining, machine learning, and statistical analysis on data to create predictive and descriptive models Create and manage Power BI reports and dashboards Optimize database performance and ensure efficient storage and retrieval of data. Monitor and manage data workflows to ensure reliability, performance, and cost-efficiency. Perform data quality checks and implement data validation mechanisms. Conduct data analysis including data visualization, statistical analysis, and data modeling. Provide support for data-related issues and troubleshoot performance problems. Qualifications Required Skills and Experience Masters Degree in a Business Discipline and 10 year of relevant experience. An additional 10 years of experience can be substituted for education Power BI reports and administration. Data analysis, data visualization, statistical analysis, and data modeling. Strong system design, application programming, and clean code skills Strong design skills (includes ability to create diagrams and write design documentation independently). Strong written and verbal communication skills; ability to explain complex concepts to a wide variety of individuals with varying technical skills. Strong understanding of Scrum and Agile. Demonstrated ability to execute in an agile environment, especially Scrum and/or Kanban. This especially includes the ability to estimate and meet deadlines, focus on priorities, understand goals and objectives, and assist with planning. Proficient with MS Office, MS SharePoint, MS Teams Excellent prioritization and time management skills Excellent attention to detail and ability to meet deadlines and stay organized Preferred Skills and Experience Experience with data governance and data cataloging. Experience with Machine Learning technologies Highly motivated and analytical; proven problem-solving abilities Willingness and ability to quickly learn new skills, new client environments, and grow domain expertise Ability to conduct independent research to lead or support the resolution of complex issues Clearance Required: Must be able to obtain/maintain suitability/Public Trust clearance. Company Overview GovCIO is a team of transformers--people who are passionate about transforming government IT. Every day, we make a positive impact by delivering innovative IT services and solutions that improve how government agencies operate and serve our citizens. But we can't do it alone. We need great people to help us do great things - for our customers, our culture, and our ability to attract other great people. We are changing the face of government IT and building a workforce that fuels this mission. Are you ready to be a transformer? We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, or status as a protected veteran. EOE, including disability/vets. Posted Pay Range The posted pay range, if referenced, reflects the range expected for this position at the commencement of employment, however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, education, experience, and internal equity. The total compensation package for this position may also include other compensation elements, to be discussed during the hiring process. If hired, employee will be in an at-will position and the GovCIO reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, GovCIO or individual department/team performance, and market factors. Posted Salary Range USD $90,000.00 - USD $97,000.00 /Yr. Submit a referral to this job (https://careers-govcio.icims.com/jobs/4561/data-engineer-%28remote%29/job?mode=apply&apply=yes&in_iframe=1&hashed=-1834385473) Location US-Remote ID 2024-4561 Category Data Services Position Type Full-Time

Summary: As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth, strategy, and experience for our 3 billion plus users, as well as our internal employee community. In this role, you will see a direct correlation between your work, company growth, and user satisfaction. Beyond this, you will work with some of the brightest minds in the industry, and you'll have a unique opportunity to solve some of the most interesting data challenges with efficiency and integrity, at a scale few companies can match. Required Skills: Data Engineer, Product Analytics Responsibilities: Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve. Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way. Define and manage SLA for all data sets in allocated areas of ownership. Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership. Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains. Solve our most challenging data integration problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources. Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts. Influence product and cross-functional teams to identify data opportunities to drive impact. Mentor team members by giving/receiving actionable feedback. Minimum Qualifications: Minimum Qualifications: Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 5+ years experience in the data warehouse space. 5+ years experience in custom ETL design, implementation and maintenance. 5+ years experience with object-oriented programming languages. 7+ years experience with schema design and dimensional data modeling. 7+ years experience in writing SQL statements. Experience analyzing data to identify gaps and inconsistencies. Experience managing and communicating data warehouse plans to internal clients. Preferred Qualifications: Preferred Qualifications: Master's or Ph.D degree in a STEM field Experience with one or more of the following: data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, data privacy Experience working with terabyte to petabyte scale data Experience influencing product decisions with data. Public Compensation: $173,000/year to $242,000/year + bonus + equity + benefits Industry: Internet Equal Opportunity: Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Job Description The Role The Marketing Applied Sciences team is responsible for developing analytics-driven solutions to help GM Organizations achieve their business goals. The individual will work as a member of a multi-disciplinary team of various experience levels that will be driving solution design, development, and deployment of analytic models in support of business facing analytic groups. The team is responsible for both advanced analytics strategy and applied, project-based solutions, focusing on the companys most critical business areas. As a Data Engineer, you will build analytical data sets in support of Advanced Analytics projects. You will work closely with our forward-thinking Researchers and Data Scientists to deliver value to our vision for the future. Are you ready to join a future facing team? What You'll Will Do Collaborate with the MAS team functions to develop data products for analytics solutions. Design and develop data products that are compliant with data privacy and security policy to protect and manage sensitive data including customer data. Drive the adoption of cloud-first technologies and industry-standard Data Engineering practices to accelerate and scale engineering capabilities. Collaborate with cross-functional teams including data governance, data architecture, release management, Data Ops & ML Ops, and infrastructure as required. Automate new and existing data processes including non-structured sources, eliminating all manual effort to gather and ingest data. Stay up to date with emerging trends and technologies in the field of Data Engineering and proactively find opportunities for improvement and innovation within our organization. Foster a culture of continuous learning, knowledge sharing, and development within the team and the broader data engineering community. Additional Job Description Your Skills & Abilities (Required Qualifications) 5+ years of hands-on experience delivering enterprise-scale data and analytics solutions using modern hybrid cloud technologies with a focus on data curation for Customer Experience data science modeling and reporting. Strong problem-solving and analytical skills with practical experience analyzing and curating large scale customer event data products from disparate data sources including 1st party and 3rd party data and map type data with variable structure. In-depth knowledge of industry-standard Data Engineering practices including data privacy & security, ETL/ELT, data architecture, data quality assurance, performance optimization, source code management, release management, and operations. Expert programming skills in data and analytics platforms, big data processing frameworks and languages, and development tools including Azure (or similar), Databricks, Spark, Python, SQL, and GitHub. Effective communication and people skills, with the ability to collaborate effectively with cross-functional technical teams and non-technical stakeholders. Naturally curious with the ability to work independently and proactively. Experience working in an Agile development environment. Education Bachelor's degree (or equivalent work experience) in Computer Science, Data Science, or a related field. Master's degree is a plus This role is based remotely but if you live within a 50-mile radius of Austin, TX, Roswell, GA, Mountain View, CA or Warren, MI you are expected to report to that location three times a week, at minimum. This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE. #LI-CC1 About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We aspire to be the most inclusive company in the world. We believe we all must make a choice every day individually and collectively to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team. Benefits Overview The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others: Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents; Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family; Company and matching contributions to 401K savings plan to help you save for retirement; Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; Tuition assistance and student loan refinancing; Discount on GM vehicles for you, your family and friends. Diversity Information General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer. We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities. Equal Employment Opportunity Statements GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals. As part of this commitment, all practices and decisions relating to terms and conditions of employment, including, but not limited to, recruiting, hiring, training, promotion, discipline, compensation, benefits, and termination of employment are made without regard to an individual's protected characteristics. For purposes of this policy, protected characteristics" include an individual's actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, weight, height, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.? We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: Our Company (https://search-careers.gm.com/en/working-at-gm/) Our Culture How we hire??????? (https://search-careers.gm.com/en/how-we-hire/) Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global location s The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Overview The Earth and Biological Sciences Directorate (EBSD) leads novel and necessary research in three core areas: Atmospheric and Climate Sciences, Biological Sciences, and Environmental Molecular Sciences. The contributions of EBSD staff are many as we continue to elevate the impact of PNNL's science mission: to understand, predict, and control the complex adaptive systems underlying the science behind Earth, energy, and security. Responsibilities <ul><li>Collaborate with researchers on the data development and innovative application of advanced simulation to research problems relevant to DOE-BER missions where computational approaches are significant. </li><li>Design, build, deploy & maintain data pipelines, ETL workflows, data, and computing environments; or implement and configure third-party solutions, including participation in software engineering work in Python or other programming languages. </li><li>Work on data migrations and ingestion projects with users to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential data platform challenges. </li><li>Ensure quality, availability, and integrity of data, solutions, and respective systems and integrate proactive strategies and best practices regarding data integrity, security, and scalability. </li><li>Partner cross-functionally to build and improve new/existing constructs and solve data engineering problems. </li> </ul>Qualifications Minimum Qualifications: <ul><li>BS/BA and 2 years of relevant experience -OR- </li><li>MS/MA -OR- </li><li>PhD </li> </ul>Preferred Qualifications: <ul><li>ETL, SQL, NoSQL, and Data Management frameworks. </li><li>Backend languages and tools such as Python, PostgreSQL, and database management. </li><li>Hands-on experience with any commercial Lab information management system (LIMS). </li> </ul>Hazardous Working Conditions/Environment Not applicable Additional Information Not applicable Testing Designated Position This is not a Testing Designated Position (TDP) About PNNL Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them! At PNNL, you will find an exciting research environment and excellent benefits including health insurance, flexible work schedules and telework options. PNNL is located in eastern Washington Statethe dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Labs campus is only a 45-minute flight (or ~3-hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs. Commitment to Excellence, Diversity, Equity, Inclusion, and Equal Employment Opportunity Our laboratory is committed to a diverse and inclusive work environment dedicated to solving critical challenges in fundamental sciences, national security, and energy resiliency. We are proud to be an Equal Employment Opportunity and Affirmative Action employer. In support of this commitment, we encourage people of all racial/ethnic identities, women, veterans, and individuals with disabilities to apply for employment. Pacific Northwest National Laboratory considers all applicants for employment without regard to race, religion, color, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws. We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at careers@pnnl.gov . Drug Free Workplace PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs. If you are offered employment at PNNL, you must pass a drug test prior to commencing employment. PNNL complies with federal law regarding illegal drug use. Under federal law, marijuana remains an illegal drug. If you test positive for any illegal controlled substance, including marijuana, your offer of employment will be withdrawn. HSPD-12 PIV Credential Requirement In accordance with Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, new employees are required to obtain and maintain a HSPD-12 Personal Identity Verification (PIV) Credential. To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. Mandatory Requirements Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a country of risk without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment. Rockstar Rewards Employees and their families are offered medical insurance, dental insurance, vision insurance, health savings account, flexible spending accounts, basic life insurance, disability insurance*, employee assistance program, business travel insurance, tuition assistance, supplemental parental bonding leave**, surrogacy and adoption assistance, and fertility support. Employees are automatically enrolled in our company funded pension plan* and may enroll in our 401k savings plan. Employees may accrue up to 120 vacation hours per year and may receive ten paid holidays per year. <ul><li>Research Associates excluded. </li> </ul>**Once eligibility requirements are met. Click Here For Rockstar Rewards (https://careers.pnnl.gov/rockstar-rewards) Notice to Applicants PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individuals relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules. As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position. Minimum Salary USD $102,200.00/Yr. Maximum Salary USD $153,300.00/Yr.

Job Description The Role The Marketing Applied Sciences team is responsible for developing analytics-driven solutions to help GM Organizations achieve their business goals. The individual will work as a member of a multi-disciplinary team of various experience levels that will be driving solution design, development, and deployment of analytic models in support of business facing analytic groups. The team is responsible for both advanced analytics strategy and applied, project-based solutions, focusing on the companys most critical business areas. As a Data Engineer, you will build analytical data sets in support of Advanced Analytics projects. You will work closely with our forward-thinking Researchers and Data Scientists to deliver value to our vision for the future. Are you ready to join a future facing team? This role reports to the Product Owner of Marketing Activation Science, with leadership visibility to the greater Enterprise Data, Analytics, and Insights organization focused on democratizing data and decisions. What You'll Do Collaborate with internal and external stakeholders, including Activation Data Science to deliver on the portfolio. Drive the adoption of cloud-first technologies and industry-standard Data Engineering practices to accelerate and scale our engineering capabilities. Adhere to standards and processes to validate, monitor, and support data products that enable our decision science portfolio and data science capabilities. Collaborate with cross-functional teams, including data governance, security, data architecture, release management, Dev & ML Ops, and infrastructure, to ensure seamless integration and alignment of data engineering initiatives. Stay up to date with emerging trends and technologies in the field of Data Engineering, and proactively identify opportunities for improvement and innovation within our organization. Participate in a culture of continuous learning, knowledge sharing, and development within the team and the broader data engineering community. Additional Job Description Your Skills & Abilities (Required Qualifications) 7+ years of hands-on experience developing and implementing enterprise-scale data and analytics solutions using modern hybrid cloud technologies with a focus on data pipelines and reporting. Bachelor's degree (or equivalent work experience) in Computer Science, Data Science, Software Engineering, or a related field. Master's degree is a plus. Strong problem-solving and analytical skills with practical experience analyzing and curating large scale customer event data products from disparate data sources including 1st party and 3rd party data and map type data with variable structure. In-depth knowledge of industry-standard Data Engineering practices including data privacy & security, ETL/ELT, data architecture, data quality assurance, performance optimization, source code management, release management, and operations. Expert programming skills in data and analytics platforms, big data processing frameworks and languages, and development tools including Azure (or similar), Databricks, Spark, Python, SQL, and GitHub. Effective communication and people skills, with the ability to collaborate effectively with cross-functional technical teams and non-technical stakeholders. Naturally curious with the ability to work independently and proactively. Experience working in an Agile development environment. Experience deploying machine learning models and process automation This role is based remotely but if you live within a 50-mile radius of Austin, TX, Roswell, GA, Mountain View, CA or Warren, MI, you are expected to report to that location three times a week, at minimum. This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE. #LI-CC1 About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We aspire to be the most inclusive company in the world. We believe we all must make a choice every day individually and collectively to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team. Benefits Overview The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others: Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents; Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family; Company and matching contributions to 401K savings plan to help you save for retirement; Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; Tuition assistance and student loan refinancing; Discount on GM vehicles for you, your family and friends. Diversity Information General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer. We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities. Equal Employment Opportunity Statements GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals. As part of this commitment, all practices and decisions relating to terms and conditions of employment, including, but not limited to, recruiting, hiring, training, promotion, discipline, compensation, benefits, and termination of employment are made without regard to an individual's protected characteristics. For purposes of this policy, protected characteristics" include an individual's actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, weight, height, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.? We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: Our Company (https://search-careers.gm.com/en/working-at-gm/) Our Culture How we hire??????? (https://search-careers.gm.com/en/how-we-hire/) Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global location s The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Your Future Evolves Here Evolent partners with health plans and providers to achieve better outcomes for people with most complex and costly health conditions. Working across specialties and primary care, we seek to connect the pieces of fragmented health care system and ensure people get the same level of care and compassion we would want for our loved ones. Evolent employees enjoy work/life balance, the flexibility to suit their work to their lives, and autonomy they need to get things done. We believe that people do their best work when they're supported to live their best lives, and when they feel welcome to bring their whole selves to work. That's one reason why diversity and inclusion are core to our business. Join Evolent for the mission. Stay for the culture. What Youll Be Doing: What Youll Be Doing: Be a part of a scrum team through the requirement, design, development, and QA SDLC cycles with a focus on C#, cloud computing, and relational database technologies. Lead aspects of our services-based solutions and internal applications to ensure consistency, quality, architectural integrity, scalability, and availability. Investigate and integrate advances in software engineering technology and practices into the overall development process; these areas should include, but are not limited to programming languages, relational database systems, application frameworks, software processes, software automation, and system optimization / scaling. Help to resolve questions of program intent, software requirements, and inclusion of internal checks and controls. Collaborate with teams and business owners in the development and/or execution of all types of software development considering the objectives of the organization. Participate in the full systems lifecycle with solution design, development, implementation, and product support using agile methodologies. Maintain source-code repository and participate in deployment of code into production. Help explore and implement new technologies. Communicates the status and forecasting of these projects to internal stakeholders through a variety of methods. Identifies new technologies that will benefit short and long-term department goals. Produces and implements enhancements to existing designs as needed. Required Experience: 5+ years experience working in software-engineering related occupations Bachelor's degree from an accredited university in a related field Strong technical knowledge of C# and experience in newer versions of .Net framework and .net Core Strong technical knowledge of SQL and experience in SQL Server 2019 or newer Experience in scripting languages such as Python and PySpark. Experience using a unit testing framework. Demonstrated ability to consistently operate with a strong attention to detail and produce work with an exceptionally high level of accuracy. Demonstrated ability to anticipate, recognize, and proactively solves problems effectively. Experience working effectively in an Agile environment. Preferred Experience: Adept at writing SQL queries. Fundamental understanding of relational databases and MS SQL Server Familiarity with Microsoft Azure family of products (DevOps, Functions, App Services, Databricks, etc) Experience developing in Microsoft Fabric or other analytics platforms. Proficient with design patterns, security, performance, UI components and caching Track record in establishing strong relationships with other team members and business-related people. Intense intellectual curiosity and an ability to view old problems with a fresh perspective. Excellent written computer and oral communication skills Experience working in a healthcare related field. Technical Requirements: We require that all employees have the following technical capability at their home: High speed internet over 10 Mbps and, specifically for all call center employees, the ability to plug in directly to the home internet router. These at-home technical requirements are subject to change with any scheduled re-opening of our office locations. Evolent is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status. If you need reasonable accommodation to access the information provided on this website, please contact recruiting@evolent.com for further assistance. The expected base salary/wage range for this position is $81,600 - 105,000. This position is also eligible for a bonus component that would be dependent on pre-defined performance factors. As part of our total compensation package, Evolent is proud to offer comprehensive benefits (including health insurance benefits) to qualifying employees. All compensation determinations are based on the skills and experience required for the position and commensurate with experience of selected individuals, which may vary above and below the stated amounts. Don't see the dream job you are looking for? Drop off your contact information and resume and we will reach out to you if we find the perfect fit! For more insights about Evolent Health, click on Life At Evolent (https://www.evolent.com/) to learn more!

Data Engineer College Board - Technology Location: This is a fully remote role. Candidates who live near College Board offices have the option of being fully remote or hybrid (Tuesday and Wednesday in office) Type: This is a full-time position About the Team Interflow is a team of 12 highly collaborative, engaged, and motivated technologists responsible for implementing core services that are leveraged by other teams at College Board through the lifecycle of a student's digital assessment, from registration to score reporting. We constantly seek out, experiment with, and harness new technologies to build quality products that deliver comprehensive assessments to the millions of students we serve. With the digital SAT and PSAT administration, our team continues to have new opportunities to work on challenging initiatives that are vital to our organization's mission to connect students to college success and opportunity. About the Opportunity As a Data Engineer, you will be responsible for understanding our business use cases, extracting the data using SQL and building reports for our digital test administration. You will get the chance to be a part of a team that is in the limelight, collaborating closely with our Digital Assessment and Bluebook teams. Because of your ability to comprehend data and begin to develop insights, students from around the world can have a smooth testing experience and we can continue improving for generations to come. In this role, you will: Extract, Analyze, and Report (80%) * Develop complex SQL scripts to extract data in Athena, Timestream and Redshift * Access, trace, analyze and remediate data issues or inconsistencies through leveraging SQL and applicable AWS tools such as Redshift and Athena * Apply business logic to retrieve or change data sets from gaining a good understanding of the data structure and definitions * Trace changes in data and nail down edge cases for data scenarios * Design and manage information systems, conduct analysis, and generate accurate and comprehensive reports on operational data * Automate the data extract using Python and visualize these on charts and graphs using Tableau/Quicksight * Follow best practices around coding, version control, testing, and automated build processes * Explore and engage in opportunities to be hands on with new AI, data engineering tools and ML technologies available in the current market. Support (10%) * Support peak time test days with insight into issues and resolutions needed for test administration * Troubleshoot and resolve application access issues, email communications, and application features * Play supporting role in understanding business needs in context, from a user perspective * Communicate to both the business and technical team members about the interpretation of the data * Provide crucial feedback for the design and implementation of features after reviewing requirements Document (10%) * Develop and document in the review of requirements, data mappings, database specifications and other artifacts * Support architects, leads and product owners to ensure that all aspects of the information analysis and requirements gathering process are completed with the highest degree of accuracy and quality * Ensure that data artifacts, design and reports details are fully documented About You You have: * Ideally 1+ years of experience in a professional software development environment performing data engineering type of work with a high proficiency in writing SQL queries for complex data extracts * A bachelor's degree in data science, computer science, engineering, or an analytical field is preferred * Experience or exposure working with large sets of data * To view the full job description,

Data Engineer Jobs in Olympia, WA

Data Engineer Analytics Technical Leadership
September 11, 2024

Cloud Data Engineer
September 9, 2024

Data Engineer Remote
September 3, 2024

Data Engineer Product Analytics
September 3, 2024

Senior Data Engineer Measurement Science
September 3, 2024

Data Engineer 2 Lab Information Management Systems
August 31, 2024

Staff Data Engineer Activation Science
August 31, 2024

Sr Data Engineer Integration
August 31, 2024

Data Engineer
August 30, 2024

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Data Engineer Jobs in Olympia, WA

Data Engineer Analytics Technical LeadershipSeptember 11, 2024

Cloud Data EngineerSeptember 9, 2024

Data Engineer RemoteSeptember 3, 2024

Data Engineer Product AnalyticsSeptember 3, 2024

Senior Data Engineer Measurement ScienceSeptember 3, 2024

Data Engineer 2 Lab Information Management SystemsAugust 31, 2024

Staff Data Engineer Activation ScienceAugust 31, 2024

Sr Data Engineer IntegrationAugust 31, 2024

Data EngineerAugust 30, 2024