Job Description: We are seeking a skilled AWS Data Engineer with experience in AWS Glue to join our team in Memphis, TN. This role involves designing, building, and maintaining scalable data pipelines and data storage solutions on AWS. The ideal candidate will have hands-on experience with AWS services, including Glue, Redshift, S3, and Lambda, along with strong proficiency in SQL and Python. You will collaborate with data scientists and analysts to ensure data integrity and support analytics initiatives. Key Responsibilities:<ul><li>Develop and maintain ETL pipelines and data integration solutions using AWS Glue and other AWS technologies.</li><li>Optimize and manage data storage and retrieval processes.</li><li>Collaborate with stakeholders to understand data needs and provide technical solutions.</li><li>Monitor and troubleshoot data systems and resolve issues. </li></ul>Qualifications:<ul><li>Bachelor's degree in Computer Science, Engineering, or a related field.</li><li>3+ years of experience with AWS data services, including AWS Glue, and data engineering.</li><li>Strong problem-solving and communication skills. </li></ul>Additional Requirements:<ul><li>Must be available to work in the office 2 days per week in Memphis, TN.</li></ul>

Job Description: We are seeking a skilled AWS Data Engineer with experience in AWS Glue to join our team in Memphis, TN. This role involves designing, building, and maintaining scalable data pipelines and data storage solutions on AWS. The ideal candidate will have hands-on experience with AWS services, including Glue, Redshift, S3, and Lambda, along with strong proficiency in SQL and Python. You will collaborate with data scientists and analysts to ensure data integrity and support analytics initiatives. Key Responsibilities: <ul><li>Develop and maintain ETL pipelines and data integration solutions using AWS Glue and other AWS technologies. </li> <li>Optimize and manage data storage and retrieval processes. </li> <li>Collaborate with stakeholders to understand data needs and provide technical solutions. </li> <li>Monitor and troubleshoot data systems and resolve issues. </li> </ul>Qualifications: <ul><li>Bachelors degree in Computer Science, Engineering, or a related field. </li> <li>3+ years of experience with AWS data services, including AWS Glue, and data engineering. </li> <li>Strong problem-solving and communication skills. </li> </ul>Additional Requirements: <ul><li>Must be available to work in the office 2 days per week in Memphis, TN. </li> </ul> ***** US citizens and those authorized to work in the US are encouraged to apply. ***** **** We are unable to sponsor candidates at this time. *****

Job Description: We are seeking a skilled AWS Data Engineer with experience in AWS Glue to join our team in Memphis, TN. This role involves designing, building, and maintaining scalable data pipelines and data storage solutions on AWS. The ideal candidate will have hands-on experience with AWS services, including Glue, Redshift, S3, and Lambda, along with strong proficiency in SQL and Python. You will collaborate with data scientists and analysts to ensure data integrity and support analytics initiatives. Key Responsibilities:<ul><li>Develop and maintain ETL pipelines and data integration solutions using AWS Glue and other AWS technologies.</li><li>Optimize and manage data storage and retrieval processes.</li><li>Collaborate with stakeholders to understand data needs and provide technical solutions.</li><li>Monitor and troubleshoot data systems and resolve issues. </li></ul>Qualifications:<ul><li>Bachelor's degree in Computer Science, Engineering, or a related field.</li><li>3+ years of experience with AWS data services, including AWS Glue, and data engineering.</li><li>Strong problem-solving and communication skills. </li></ul>Additional Requirements:<ul><li>Must be available to work in the office 2 days per week in Memphis, TN. </li></ul> ***** US citizens and those authorized to work in the US are encouraged to apply. ***** **** We are unable to sponsor candidates at this time. *****

Vaco is actively seeking an Azure Data Engineer for a direct-hire position with our client in Memphis. This is a permanent opportunity to join a highly respected organization that is a leader in their field! Azure Data Engineer Summary The ideal candidate will possess expertise in Azure Data Factory, Azure SQL Analytics, and SQL Server. Experience with Microsoft Fabric is a plus. The ideal candidate will be responsible for designing, developing, implementing, and maintaining data pipelines and integration solutions within the Azure ecosystem. Additional Details: <ul><li>Employment Type: Direct-Hire Position </li> <li>Schedule: Hybrid </li> <li>Start Date: Immediate </li> <li>Location: Memphis, TN </li> <li>Competitive Compensation: $95k - $120k </li> <li>Employment Status: Corp-to-Corp or employment sponsorship is not being considered </li> </ul> Interested Candidates are Encouraged to Apply for Immediate Consideration!

The Data Engineer II plays an important role within Dataworks, focused on delivering engineering innovation within Dataworks, helping to execute the delivery of key business initiatives. S/he acts as a "universal translator" between IT, business, software engineers and data scientists, collaborating with these multi-disciplinary teams. The Data Engineer II will contribute to the adherence of technical standards for data engineering, including the selection and refinements of foundational technical components. S/he will work on those aspects of the Dataworks platform that govern the ingestion, transformation, and pipelining of data assets, both to end users within FedEx and into data products and services that may be externally facing. Day-to-day, s/he will be deeply involved in code development and medium-scale deployments. Under general supervision, supports the design, build, test, and maintenance of data pipelines at big data scale. Assists with updating data from multiple data sources. Other functionalities under general supervision include working on batch processing of collected data and matching its format to the stored data, making sure that the data is ready to be processed and analyzed. Assists with keeping the ecosystem and the pipeline optimized and efficient, troubleshooting standard performance, data related problems and providing L3 support. Provides recommendations to moderately complex issues. Understanding in depth both the business and technical problems Dataworks aims to solve Building tools, platforms and pipelines to enable teams to clearly and cleanly analyze data, build models and drive decisions Scaling up from "laptop-scale" to "cluster scale" problems, in terms of both infrastructure and problem structure and technique Delivering tangible value very rapidly, collaborating with diverse teams of varying backgrounds and disciplines Following best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases Interacting with peer technologists from the broader enterprise and outside of FedEx (partner ecosystems and customers) to create synergies and ensure smooth deployments to downstream operational systems Minimum Education Bachelor's Degree in Computer Science, Information Systems, a related quantitative field such as Engineering or Mathematics or equivalent formal training or work experience. Minimum Experience Two (2) years equivalent work experience in measurement and analysis, quantitative business problem solving, simulation development and/or predictive analytics. Strong knowledge in data engineering and machine learning frameworks including design, development and implementation of highly complex systems and data pipelines. Strong knowledge in Information Systems including design, development and implementation of large batch or online transaction-based systems. Strong understanding of the transportation industry, competitors, and evolving technologies. Experience as a member of multi-functional project teams. Strong oral and written communication skills. A related advanced degree may offset the related experience requirements. Knowledge, Skills and Abilities Technical background in computer science, software engineering, database systems, distributed systems Experience with distributed and cloud environments and an adequate understanding of how to balance computational considerations with theoretical properties Detailed knowledge of the Microsoft Azure tooling for large-scale data engineering efforts and deployments is highly preferred Experience with designing and deploying large scale technical solutions, which deliver tangible, ongoing value Direct experience having built and deployed robust, complex production systems that implement modern, data scientific methods at scale Ability to context-switch, to provide support to dispersed teams which may need an "expert hacker" to unblock an especially challenging technical obstacle, and to work through problems as they are still being defined Demonstrated ability to deliver technical projects with a team, often working under tight time constraints to deliver value An 'engineering' mindset, willing to make rapid, pragmatic decisions to improve performance, accelerate progress or magnify impact Comfort with working with distributed teams on code-based deliverables, using version control systems and code reviews Ability to conduct data analysis, investigation, and lineage studies to document and enhance data quality and access Use of agile and develops practices for project and software management including continuous integration and continuous delivery Demonstrated expertise working with some of the following common languages and tools: Spark (Scala and PySpark), HDFS, Kafka and other high volume data tools SQL and NoSQL storage tools, such as MySQL, Postgres, Cassandra, MongoDB and Elastic Search Pandas, Scikit-Learn, Matplotlib, TensorFlow, Jupyter and other Python data tools Preferred Qualifications: Pay Transparency: This compensation range is provided as a reasonable estimate of the current starting salary range for this role across all potential locations. If this opportunity includes multiple job levels, the range is a reasonable estimate of the current starting salary for the lowest level to the current starting salary of the highest level. Actual starting pay would be determined by experience relative to the job, market level, pay at the location for this job and other job-related factors permitted by law. An employee may be eligible for additional pay, premiums, or bonus potential. The Company offers eligible employees health, vision and dental insurance, retirement, and tuition reimbursement. Pay: $8,232.00- $10,290.00 (Monthly) Additional Details: Application Criteria: Upload a current copy of Resume (Microsoft Word or PDF format only) and answer job screening questionnaire by 5 PM CT on September 5th, 2024. FedEx Dataworks is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Dataworks does not discriminate against qualified individuals with disabilities in regard to job application procedures, hiring, and other terms and conditions of employment. Further, Dataworks is prepared to make reasonable accommodations for the known physical or mental limitations of an otherwise qualified applicant or employee to enable the applicant or employee to be considered for the desired position, to perform the essential functions of the position in question, or to enjoy equal benefits and privileges of employment as are enjoyed by other similarly situated employees without disabilities, unless the accommodation will impose an undue hardship. If a reasonable accommodation is needed, please contact DataworksTalentAcquisition@corp.ds.fedex.com.

The Data Engineer III plays a pivotal role within Dataworks, focused on driving engineering innovation within Dataworks, helping define and build the Dataworks organization and leading the delivery of key business initiatives. S/he acts as a "universal translator" between IT, business, software engineers and data scientists, collaborating with these multi-disciplinary teams. The Data Engineer III will contribute to the adherence of technical standards for data engineering, including the selection and refinements of foundational technical components. S/he will work on those aspects of the Dataworks platform that govern the ingestion, transformation, and pipelining of data assets, both to end users within FedEx and into data products and services that may be externally facing. Day-to-day, s/he will be deeply involved in code reviews and large-scale deployments. S/he will also provide mentorship and guidance to junior engineers to support the continued training and up-skilling of the Data Engineering team. Under limited supervision, supports the design, build, test and maintenance of data pipelines at big data scale. Assists with updating data from multiple data sources. Other functionalities under limited supervision include working on batch processing of collected data and matching its format to the stored data, making sure that the data is ready to be processed and analyzed. Assists with keeping the ecosystem and the pipeline optimized and efficient, troubleshooting standard performance, data related problems and providing L3 support. Implements ETL transformers to reformat and enhance the data. Provides recommendations to complex problems. Provides guidance to those in less senior positions. Understanding in depth both the business and technical problems Dataworks aims to solveBuilding tools, platforms and pipelines to enable teams to clearly and cleanly analyze data, build models and drive decisionsScaling up from "laptop-scale" to "cluster scale" problems, in terms of both infrastructure and problem structure and techniqueDelivering tangible value very rapidly, collaborating with diverse teams of varying backgrounds and disciplinesChampioning the adherence to best practices for future reuse in the form of accessible, reusable patterns, templates, and code basesInteracting with senior technologists from the broader enterprise and outside of FedEx (partner ecosystems and customers) to create synergies and ensure smooth deployments to downstream operational systemsDesign, implement and optimize ETL processes, data ingestion, and integration workflows on cloud environments Implement best practices for data management, including data quality and security.Implement cloud-based data storage solutions, leveraging technologies for performance and cost efficiency Identify opportunities for automation and process improvement within the data engineering workflow.Stay updated with emerging technologies and trends in data engineering to enhance our systems and processes. Minimum Education Bachelor's Degree in Information Systems, Computer Science or a quantitative discipline such as Mathematics or Engineering and/or equivalent formal training or work experience. Minimum Experience Three to Four (3 - 4) years equivalent work experience in measurement and analysis, quantitative business problem solving, simulation development and/or predictive analytics. Extensive knowledge in data engineering and machine learning frameworks including design, development and implementation of highly complex systems and data pipelines. Extensive knowledge in Information Systems including design, development and implementation of large batch or online transaction-based systems. Strong understanding of the transportation industry, competitors, and evolving technologies. Experience providing leadership in a general planning or consulting setting. Experience as a senior member of multi-functional project teams. Strong oral and written communication skills. A related advanced degree may offset the related experience requirements. Knolwedge, Skills and Abilities Technical background in computer science, software engineering, database systems, distributed systemsFluency with distributed and cloud environments and a strong understanding of how to balance computational considerations with theoretical propertiesDetailed knowledge of the Microsoft Azure tooling for large-scale data engineering efforts and deployments is highly preferredA track record of designing and deploying large scale technical solutions, which deliver tangible, ongoing valueDirect experience having built and deployed robust, complex production systems that implement modern, data scientific methods at scaleAbility to context-switch, to provide support to dispersed teams which may need an "expert hacker" to unblock an especially challenging technical obstacle, and to work through problems as they are still being definedDemonstrated ability to deliver technical projects with a team, often working under tight time constraints to deliver valueAn 'engineering' mindset, willing to make rapid, pragmatic decisions to improve performance, accelerate progress or magnify impactComfort with working with distributed teams on code-based deliverables, using version control systems and code reviewsAbility to conduct data analysis, investigation, and lineage studies to document and enhance data quality and access quickly while adopting new and evolving technologies and apply to projects.Use of agile and devops practices for project and software management including continuous integration and continuous deliveryDemonstrated expertise working with some of the following common languages and tools:Spark (Scala and PySpark), HDFS, Kafka and other high volume data toolsSQL and NoSQL storage tools, such as MySQL, Postgres, Cassandra, MongoDB and ElasticSearchPandas, Scikit-Learn, Matplotlib, TensorFlow, Jupyter and other Python data toolsSolid understanding of data modeling, data architecture, and data management principles.Proven track record of solving complex problems and delivering high-quality, scalable solutions.Excellent communication and collaboration skills to work effectively in a team environment. Preferred Qualifications: Pay Transparency: This compensation range is provided as a reasonable estimate of the current starting salary range for this role across all potential locations. If this opportunity includes multiple job levels, the range is a reasonable estimate of the current starting salary for the lowest level to the current starting salary of the highest level. Actual starting pay would be determined by experience relative to the job, market level, pay at the location for this job and other job-related factors permitted by law. An employee may be eligible for additional pay, premiums, or bonus potential. The Company offers eligible employees health, vision and dental insurance, retirement, and tuition reimbursement. Pay: $10,768.00- $13,460.00 (Monthly) Additional Details: Application Criteria: Upload a current copy of Resume (Microsoft Word or PDF format only) and answer job screening questionnaire by 5 PM CT on September 5th, 2024. FedEx Dataworks is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Dataworks does not discriminate against qualified individuals with disabilities in regard to job application procedures, hiring, and other terms and conditions of employment. Further, Dataworks is prepared to make reasonable accommodations for the known physical or mental limitations of an otherwise qualified applicant or employee to enable the applicant or employee to be considered for the desired position, to perform the essential functions of the position in question, or to enjoy equal benefits and privileges of employment as are enjoyed by other similarly situated employees without disabilities, unless the accommodation will impose an undue hardship. If a reasonable accommodation is needed, please contact DataworksTalentAcquisition@corp.ds.fedex.com.

Our not-so-secret sauce. Award-winning, inclusive, Top Workplace culture doesnt happen overnight. Its a result of hard work by extraordinary people. More than 10,000 of the industrys brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can thrive as a Senior Data Engineer at MMA National. Marsh McLennan Agency (MMA) provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With 180 offices across North America, we combine the personalized service model of a local consultant with the global resources of the worlds leading professional services firm, Marsh McLennan (NYSE: MMC). A day in the life. As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent. It involves developing best practices, reusable code, libraries, and frameworks for cloud-based data warehousing and ETL, and uses multi-cloud, programming languages like Java, Scala, Python, RDBMS, NoSQL databases, and design enterprise data warehouse platforms. By fostering collaboration and aligning with business objectives, you will have the opportunity to elevate data models, drive data-driven decision-making, and enhance data accessibility throughout the organization. Join us in championing data-driven decision-making and becoming an essential contributor to our data-driven success. Our future colleague. Wed love to meet you if your professional track record includes these skills: <ul> <li> 7+ years of hands-on experience designing and implementing data engineering solutions using Azure cloud offerings including Data Factory, Azure Synapse, ADLS, and Azure Functions and Logic Apps. </li> <li> In-depth understanding and experience in data engineering and data warehousing best practices, data modelling, data security and governance principles throughout data lifecycle. </li> <li> Hands-on development experience with Relational DBs (MS SQL Server, PostgreSQL, Oracle), as well as complex stored procedures and functions using SQL and optimization of SSIS packages and Redshift database queries. </li> <li> Experience designing and building data pipelines using APIs, BigQuery and Streaming ingestion methods. Proficiency in Spark, Python and ability work with telemetry using Azure monitor, App insights. </li> <li> Solid understanding of DevSecOps, Git integration, Code deployment using CI/CD pipelines, managing work in an agile environment using Azure Boards, Confluence. Ability to troubleshoot and deploy using Redgate tools and Visual Studio is a must. </li> </ul> These additional qualifications are a plus, but not required to apply: <ul> <li> Familiarity with Modern Data Platforms technologies like Snowflake, Matillion, Bryte Flow, and Tableau is a plus. </li> <li> Knowledge in Azure IoT, Azure HDInsight + Spark, Kafka and Azure Stream Analytics is a bonus. </li> <li> Experience with Informatica - IICS task flows development and maintenance. </li> <li> Data bricks, Microsoft Azure Data Engineer, and/or other cloud certifications. </li> </ul> We know there are excellent candidates who might not check all of these boxes. Dont be shy. If youre close, wed be very interested in meeting you. Valuable benefits. We value and respect the impact our colleagues make every day both inside and outside our organization. Weve built a culture that promotes colleague well-being through robust benefit programs and resources, encourages professional and personal development, and celebrates opportunities to pursue the projects and causes that give colleagues fulfilment outside of work. Some benefits included in this role are: <ul> <li> Generous time off, including personal and volunteering </li> <li> Tuition reimbursement and professional development opportunities </li> <li> Remote work </li> <li> Charitable contribution match programs </li> <li> Stock purchase opportunities </li> </ul> To learn more about a career at MMA National, check us out online: http://marshmma.com/careers or flip through our recruiting brochure: https://bit.ly/3Qpcjmw Follow us on social media to meet our colleagues and see what makes us tick: <ul> <li> https://www.instagram.com/lifeatmma/ </li> <li> https://www.facebook.com/LifeatMMA </li> <li> https://twitter.com/marsh_mma </li> <li> https://www.linkedin.com/company/marsh-mclennan-agency/ </li> </ul> The applicable base salary range for this role is $101,300-$151,900. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other wellbeing programs as well as employee assistance programs. Applications will be accepted until: August 24th, 2024 Who you are is who we are. We embrace a culture that celebrates and promotes the many backgrounds, heritages and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams. Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. #LI-Remote

Summary The Data Engineer is responsible for designing, developing, and maintaining data pipelines and infrastructure on the AWS platform. The Data Engineer works with large volumes of data, ensuring its quality, reliability, and accessibility. Tasks may include data ingestion, transformation, storage, data sharing and consumption, and implementing data security and privacy measures. This role is crucial in enabling efficient and effective data-driven decision-making. Essential Duties & Responsibilities <ul><li>Build and maintain scalable and reliable data pipelines, ensuring the smooth flow of data from various sources to the desired destinations in the AWS cloud environment. </li> <li>Work closely with stakeholders to understand their data requirements and design data solutions that meet their needs, including understanding data models/schemas and implementing ETL (Extract, Transform, and Load) processes to transform raw data into a usable format in the destination </li> <li>Responsible for monitoring and optimizing the performance of data pipelines, troubleshooting any issues that arise, and ensuring data quality and integrity. </li> </ul>Qualifications <ul><li>Proficient in programming languages such as Python and SQL for database querying and manipulation. </li> <li>Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon Redshift, Amazon Aurora Postgres, AWS Glue, AWS Lambda, AWS Step Function, AWS Lake Formation, Amazon Data Zone, Amazon Kinesis, MSK, and Amazon EMR. </li> <li>Knowledge of database design principles and experience with database management systems. </li> <li>Experience with data storage technologies like relational databases (e.g., SQL Server, PostgreSQL) and distributed storage systems (e.g., PySpark). </li> <li>Understanding of Extract, Transform, Load (ETL) processes and experience with ETL tools like AWS Glue and SQL Server Integration Services is essential and should be skilled at integrating disparate data sources and ensuring data quality and consistency. </li> <li>Understanding and experience with orchestration tools like Apache Airflow, AWS Glue Workflows, AWS Step Functions, and notification services. </li> <li>Familiarity with IAC such as Terraform, git, and DevOps pipelines. </li> <li>Strong analytical thinking and problem-solving abilities are essential to identify and resolve data-related issues effectively, with the ability to analyze complex data sets, identify patterns, and derive actionable insights. </li> <li>Awareness of data governance practices, data privacy regulations, and security protocols is crucial, with experience implementing data security measures and ensuring compliance with relevant standards is desirable. </li> </ul>Education & Experience <ul><li>Bachelor's Degree in Computer Science, related field, or equivalent experience. </li> <li>3+ years of post-Bachelor progressive experience in data engineering. </li> </ul>Systems & Technology <ul><li>Proficient in the following computer languages: <ul> <li>Python </li> <li>SQL </li></ul> </li> <li>AWS technologies to include: <ul> <li>Glue </li> <li>S3 </li> <li>Redshift </li> <li>Lambda </li> <li>Lake Formation </li> <li>DataZone </li></ul> </li> </ul> About Stifel Stifel is a more than 130 years old and still thinking like a start-up. We are a global wealth management and investment banking firm serious about innovation and fresh ideas. Built on a simple premise of safeguarding our clients money as if it were our own, coined by our namesake, Herman Stifel, our success is intimately tied to our commitment to helping families, companies, and municipalities find their own success. While our headquarters is in St. Louis, we have offices in New York, San Francisco, Baltimore, London, Frankfurt, Toronto, and more than 400 other locations. Stifel is home to approximately 9,000 individuals who are currently building their careers as financial advisors, research analysts, project managers, marketing specialists, developers, bankers, operations associates, among hundreds more. Lets talk about how you can find your place here at Stifel, where success meets success. At Stifel we offer an entrepreneurial environment, comprehensive benefits package to include health, dental and vision care, 401k, wellness initiatives, life insurance, and paid time off. Stifel is an Equal Opportunity Employer. #LI-LL1

Vaco is actively seeking an AWS Data Engineer for a direct-hire position with our client in Memphis. This is a permanent opportunity to join a highly respected organization that is a proven leader in their field! Data Engineer Summary As an AWS Data Engineer, you will be responsible for designing, implementing, and maintaining scalable data pipelines and solutions on the AWS platform. You will collaborate closely with cross-functional teams to gather requirements, architect data solutions, and ensure data integrity, availability, and performance. Key Responsibilities: <ul> <li>Design and Develop Data Pipelines: Design, develop, and implement scalable and efficient data pipelines using AWS services such as AWS Glue, AWS Data Pipeline, AWS Lambda, and other relevant technologies. </li></ul> <ul><li>Data Modeling and Architecture: Architect data models and data flows to support the organization's analytical and reporting needs. Implement data structures optimized for performance and scalability. </li></ul> <ul><li>Data Integration: Integrate data from various sources including databases, APIs, and streaming data sources. Ensure seamless data flow and consistency across different systems. </li></ul> <ul><li>Data Transformation and ETL: Develop ETL processes to transform raw data into usable formats for analytics and reporting. Optimize data transformation processes for performance and efficiency. </li></ul> <ul><li>Data Quality and Governance: Implement data quality checks and governance processes to ensure data accuracy, consistency, and compliance with regulatory requirements. </li></ul> <ul><li>Monitoring and Optimization: Monitor data pipelines and systems for performance and reliability. Implement optimizations and improvements to enhance efficiency and scalability. </li></ul> <ul><li>Collaboration and Communication: Collaborate closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions that meet business needs. Communicate effectively with technical and non-technical stakeholders. </li></ul> <ul><li>Documentation and Best Practices: Document data pipelines, data models, and technical specifications. Promote best practices for data engineering and ensure adherence to standards and guidelines. </li></ul>Additional Details: <ul> <li>Employment Type: Direct-Hire Position </li><li>Schedule: Hybrid (3 days onsite per week) </li><li>Start Date: Immediate </li><li>Location: East Memphis </li><li>Total Compensation: $140k - $165k </li><li>Employment Status: Corp-to-Corp or employment sponsorship is not being considered at this time </li></ul> Interested Candidates are Encouraged to Apply for Immediate Consideration! Vaco values a diverse workplace and strongly encourages women, people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply. <h5>EEO Notice </h5> Vaco is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco LLC and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco LLC and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact HR@vaco.com . Vaco also wants all applicants to know their rights that workplace discrimination is illegal. By submitting to this position, you agree that you will be giving Vaco the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. <h5>Privacy Notice </h5>Vaco LLC and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco") respects your privacy and are committed to providing transparent notice of our policies. <ul> <li>California residents may access Vaco's HR Notice at Collection for California Applicants and Employees here.</li> <li>Virginia residents may access our state specific policies here.</li> <li>Residents of all other states may access our policies here. </li> <li>Canadian residents may access our policies in English here and in French here.</li> <li>Residents of countries governed by GDPR may access our policies here. </li></ul> <h5>Pay Transparency Notice </h5> Determining compensation for this role (and others) at Vaco depends upon a wide array of factors including but not limited to: <ul> <li>the individual's skill sets, experience and training;</li> <li>licensure and certification requirements;</li> <li>office location and other geographic considerations;</li> <li>other business and organizational needs. </li></ul> With that said, as required by local law, Vaco believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.

Data Engineer Jobs in Memphis, TN

Onsite Aws Data Engineer Memphis Full Time 200K
September 15, 2024

Onsite Aws Data Engineer Memphis Full Time 180K
September 8, 2024

Onsite Aws Data Engineer Memphis Full Time 180K
September 7, 2024

Azure Data Engineer
September 3, 2024

Data Engineer Ii
September 2, 2024

Data Engineer Iii
September 2, 2024

Senior Data Engineer
September 1, 2024

Data Engineer
August 31, 2024

Aws Data Engineer Memphis
August 30, 2024

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Data Engineer Jobs in Memphis, TN

Onsite Aws Data Engineer Memphis Full Time 200KSeptember 15, 2024

Onsite Aws Data Engineer Memphis Full Time 180KSeptember 8, 2024

Onsite Aws Data Engineer Memphis Full Time 180KSeptember 7, 2024

Azure Data EngineerSeptember 3, 2024

Data Engineer IiSeptember 2, 2024

Data Engineer IiiSeptember 2, 2024

Senior Data EngineerSeptember 1, 2024

Data EngineerAugust 31, 2024

Aws Data Engineer MemphisAugust 30, 2024