Position Description: Mathematica applies expertise at the intersection of technology, data, methods, policy, and practice to improve well-being around the world. We collaborate closely with public- and private-sector partners to translate big questions into deep insights that improve programs, refine strategies, and enhance understanding using technology and advanced analytics. Our work yields actionable information to guide decisions in wide-ranging policy areas, from health, education, early childhood, and family support to nutrition, employment, disability, and international development. Mathematica offers our employees competitive salaries, and a comprehensive benefits package, as well as the advantages of being 100 percent employee owned. As an employee stock owner, you will experience financial benefits of ESOP holdings that have increased in tandem with the company's growth and financial strength. You will also be part of an independent, employee-owned firm that is able to define and further our mission, enhance our quality and accountability, and steadily grow our financial strength. Read more about our benefits here: Mathematica is seeking a Data Platform Engineer to join the Health Unit's Health Solutions Insights (HSI) team. We're looking for team members who want to apply their technical skills to shape an equitable and just world, where evidence drives decisions for global impact in healthcare. Examples of recent work completed by this team include: As part of the AI Health Outcomes Challenge held by Centers for Medicare and Medicaid Services, members of this team developed a cloud data pipeline and machine learning architecture to make predictions with a large multiyear sample of Medicare beneficiaries with detailed claims data about millions of people. Mathematica's team reached the second round of the competition, with only six other teams, out of over 300 original entrants. As part of a state's efforts to support citizens with disabilities, Mathematica brought together a variety of data sources, developed specific monitoring measures, and designed a dashboard. The dashboard is designed to show measure results and trends to clearly identify areas of success and opportunities for improvement to help the state achieve its goals with evidence-based decision making. Developed applications and extract, transform, and load (ETL) processes to support a variety of health policy implementation and monitoring programs. One such program was the Capacity Building for Public Health Analysts in the Overdose Response Strategy, where the team designed, developed, and secured a cloud-based, web application to streamline data collection, management, and reporting for the public health-public safety collaboration to reduce drug overdoses. Position Requirements: Responsibilities: Provide technical leadership to multidisciplinary teams combining data analytics, visualization, and development of analytics products such as interactive dashboards and data driven applications. Lead the design of data pipelines and perform analytics involving large administrative data sources such as state Medicaid claims and APCDs, as well as clinical data sources such as EHRs and HIEs, to effectively answer research questions about health care policy. Incorporate client and other stakeholder needs into solution design, communication planning, and project scope. Develop a budget and staffing plan to produce the required solutions in context of internal / external constraints and Mathematica's contractual and regulatory requirements. Evaluate internal project functions and processes and suggest improvements. Collaborate across internal technology, analytics, and advisory services teams. Actively support the advancement of organizational diversity, equity, and inclusion efforts, and apply diversity, equity, and inclusion lens across job responsibilities. Interface with clients for 25% or more of your time (with occasional in-person meetings). Apply excellent critical thinking and problem-solving abilities to mitigate project risk. Contribute to the growth of the business through significant proposal contributions (expressions of interest, planning / design, content, budget staffing, successfully directing projects, etc.) Requirements: /At least 5 years of relevant experience demonstrating:/ Hands on development with Amazon Web Services (AWS) services commonly used by our team including RDS, Lambda, S3, API Gateway, and SageMaker In-depth programming in Python and SQL in a professional environment Strong database, data warehousing, and data modeling skills Extract Transform and Load (ETL) and automation experience System development lifecycle (SDLC), Agile Development, DevSecOps, and common software development tools such as Git and Jira Excellent written and oral communication skills to convey key choices, recommendations, and technology concepts to technical and non-technical audiences. Infrastructure as Code (IaC) technologies such as AWS CloudFormation or Terraform /At least 1 years of relevant experience with big data technologies including:/ Spark, the Spark ecosystem, and related tools like Databricks and Azure Synapse Notebooks Snowflake, including ETL, performance tuning, and cost optimization Desired Skills: Microsoft Azure, particularly Azure Synapse Analytics, Azure Data Factory and/or Azure Data Pipeline Healthcare Interoperability Standards and Technology, such as HL7, FHIR, Intersystems Iris for Health, Rhapsody, MirthConnect The Serverless Framework Docker orchestration tools, like Docker Compose or Kubernetes Commercial data warehouse/ ETL tools such as, Talend, Informatica, Apache Airflow, etc. Additional programming languages common at Mathematica like .NET, JavaScript, TypeScript, or R Conceptual and practical knowledge of healthcare data (e.g. clinical data, commercial claims, hospital claims, Medicare, Federal Medicaid (T-MSIS, TAF), State Medicaid, HL7-FHIR), healthcare informatics, or healthcare claims processing A demonstrated history of working collaboratively with clients to achieve project goals and / or leading technical teams Previous experience working or collaborating on Data Analytics or Data Science projects or initiatives * * This position offers an anticipated annual base salary range of $110,000 - $140,000.** This position is eligible for a discretionary bonus based on company and individual performance. To apply, please submit cover letter, resume, coding sample, location preferences, and salary requirements via our online employment website. STAFFING AGENCIES AND THIRD-PARTY RECRUITERS: Mathematica is not accepting candidates for this role or any technical role from staffing agencies or third-party recruiters. Please do not contact technical or senior staff at Mathematica or share unsolicited resumes. All agency inquiries go through the talent acquisition team and will be routed accordingly. Staff in our Health unit will eventually work with our largest client, Centers for Medicaid & Medicare Services (CMS). Most staff working on CMS contracts will be required to complete a successful background investigation including the Questionnaire for Public Trust Position SF-85. Staff that are unable to successfully undergo the background investigation will need to be able to obtain work outside CMS. Staff will work with their supervisor to get re-staffed, however if they are unable to do so it may result in employment termination due to lack of work. Available Locations: Washington, DC; Princeton, NJ; Remote #remote-usa #LI-AR1 We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

<h3>Job Description</h3><div>Job Description<div>Description<div>Reporting to the Team Lead, you will be responsible for working on a team of four to five Engineers to tackle the platform needs of large organizations. Every week, you'll have the opportunity to expand your technical skills and will be presented with opportunities for continuous learning. Working in multiple environments and continually switching context from client to client, we are looking for people who thrive in an innovative and fast-paced environment. This is a standout opportunity to collaborate with an elite group of engineers, build up your skillset and, in turn, become a distinguished expert in the industry.</div> Key Responsibilities<ul><li>Design and implement continuous integration and continuous deployment frameworks from code to deploy</li><li>Manage and optimize data pipelines for performance, scalability, and reliability</li><li>Develop, implement, and maintain scalable data pipelines and processes</li><li>Create and manage automated provisioning and configuration systems for data infrastructure using infrastructure-as-code principles</li><li>Design, implement, configure and manage system monitoring solutions that alert teams to problems before customers are impacted</li><li>Support developers in code deployment and troubleshooting</li><li>Work closely with customers and other team members to understand complex requirements and translate them into automated solutions</li><li>Provide support to ensure mission critical applications and components are being monitored and meet security, reporting and retention requirements as well as disaster recovery requirements of clients</li><li>Support team members</li></ul> Skills Knowledge & Expertise<div>Required Qualifications:</div><ul><li>3+ years of DevOps experience</li><li>2+ years of Azure experience</li><li>Data platform experience</li><li>Oracle/SQL server experience</li><li>Java experience</li><li>GCP experience</li><li>Kubernetes experience</li><li>Terraform experience</li><li>Cloud certifications</li><li>Excellent communication skills</li><li>Strong multi-tasker</li><li>Self starter</li><li>Team player</li></ul><div>Preferred Qualifications:</div><ul><li>Azure, AWS and GCP Professional level certifications</li><li>Kubernetes certifications (CKA, CKAD, CKS)</li></ul> Benefits & Perks<ul><li>Benefits of full-time remote work but with a close team environment. BSC was built from the beginning to be remote. That means we work extra hard to support a culture of engagement with regular opportunities for in-person interaction.</li><li>Flexible work schedule and time off</li><li>Home office support</li><li>401k with up to 4% company match</li><li>Medical, Dental, Vision and Life Insurance</li></ul></div></div>

About Gusto Gusto is a modern, online people platform that helps small businesses take care of their teams. On top of full-service payroll, Gusto offers health insurance, 401(k)s, expert HR, and team management tools. Today, Gusto offices in Denver, San Francisco, and New York serve more than 300,000 businesses nationwide. Our mission is to create a world where work empowers a better life, and it starts right here at Gusto. That's why we're committed to building a collaborative and inclusive workplace, both physically and virtually. Learn more about our Total Rewards philosophy. We're looking for an experienced data leader to join our Data Platform team. We're looking for someone who's equally interested in building a thriving team and maturing the data ecosystem at Gusto. This is a player-coach role where your responsibilities will include both people management and implementation. You'll be involved in the entire product development process from setting the long term vision to initial strategic planning; all the way to launching and iterating on development and releasing features. Here's what you'll do day-to-day <ul> <li>Develop and own the roadmap for Gusto's core analytics platform. </li><li>Grow and lead a team of engineers in building scalable data products and solutions. </li><li>Partner with Analytics Engineering, Data Science, and Governance teams to bring best in class solutions, helping the company harness its data to drive strategic decision-making. </li><li>Bring technical thought leadership to the broader Data team. </li></ul>Here's what we're looking for: <ul> <li>10+ years of experience in software engineering. </li><li>3+ years experience in a Data focused role. </li><li>2+ years experience leading teams. </li><li>Interest in and ability to work in a combination role: people management and contributing as an IC. </li><li>Excellent communication and storytelling skills with the ability to rationalize the "why" behind decisions </li><li>Strong understanding of technical architecture and data infrastructure principles </li><li>Experience with AWS or other major cloud services </li></ul> Our cash compensation amount for this role is targeted at $187,000-$233,000/year in Denver, Chicago, Miami, Austin and Atlanta, $204,000-$254,000/year in Los Angeles and Seattle, and $221,000- $273,000/year for San Francisco and New York. Final offer amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amounts listed above. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you require assistance in filling out a Gusto job application, please reach out to [redacted].

About Gusto Gusto is a modern, online people platform that helps small businesses take care of their teams. On top of full-service payroll, Gusto offers health insurance, 401(k)s, expert HR, and team management tools. Today, Gusto offices in Denver, San Francisco, and New York serve more than 300,000 businesses nationwide. Our mission is to create a world where work empowers a better life, and it starts right here at Gusto. Thats why were committed to building a collaborative and inclusive workplace, both physically and virtually. Learn more about our Total Rewards philosophy. Gusto is looking for a Senior to Staff Machine Learning Engineer to join our ML/AI Platform and build out our Generative AI infrastructure. <h5>About The Role </h5>Were just starting out on this journey with Generative AI and looking to build the founding ML/AI team that will bring the power of AI to Gustos customers. Youll be working alongside a multidisciplinary group of Product Engineers, PMs, and Applied ML data scientists. In this role, youll be responsible for making design decisions around our AI infrastructure, building standard model development and deployment workflows, and design systems that enable rapid iteration with LLMs. Heres what youll do day-to-day: <ul> <li>Develop, maintain, and enhance reusable frameworks for ML/AI model development and deployment. Drive best practices in machine learning engineering and MLOps </li><li>Establish standards and infrastructure for on-going monitoring and evaluation of AI applications in production </li><li>Develop and maintain systems that enable rapid iteration and evaluation of LLM prompts and other tuning mechanisms </li><li>Design and build reliable, performant, maintainable and secure pipelines that can scale to the needs of our business while reducing costs </li><li>Collaborate with the AI model builders and application owners to determine business requirements and SLAs for API-enabled services </li><li>Help design and architect an AI platform that adheres to the principles of Responsible AI </li><li>Balance researching new technologies with a practical approach to operationalizing research efforts into Gusto products </li><li>Maintain relationships with external data and analytics vendors </li></ul> Heres what we're looking for: <ul> <li>At least 4+ years of software engineering experience (Python, Ruby or Java). </li><li>Demonstrated experience architecting and developing services for machine learning models. </li><li>Experience with at least one of the major cloud platforms (AWS preferred but not required). </li><li>Experience with MLOps tooling such as KubeFlow, AWS Sagemaker, MLFlow, or similar. </li><li>[Bonus] Experience deploying and maintaining LLM-based applications in production. </li></ul> Our cash compensation amount for this role is targeted at $152,000-$214,000/year in Denver, Chicago, and Atlanta, $166,000-$234,000/year in Los Angeles and Seattle, and $185,000-$253,000/year for San Francisco and New York. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you require assistance in filling out a Gusto job application, please reach out to candidate-accommodations@gusto.com.

DevOps/Data Platform Engineer (Azure exp, 100% remote) Department: Engineering Employment Type: Full Time Location: Remote (USA) Compensation: $120,000 - $150,000 / year Description Reporting to the Team Lead, you will be responsible for working on a team of four to five Engineers to tackle the platform needs of large organizations. Every week, you'll have the opportunity to expand your technical skills and will be presented with opportunities for continuous learning. Working in multiple environments and continually switching context from client to client, we are looking for people who thrive in an innovative and fast-paced environment. This is a standout opportunity to collaborate with an elite group of engineers, build up your skillset and, in turn, become a distinguished expert in the industry. Key Responsibilities <ul><li>Design and implement continuous integration and continuous deployment frameworks from code to deploy</li><li>Manage and optimize data pipelines for performance, scalability, and reliability</li><li>Develop, implement, and maintain scalable data pipelines and processes</li><li>Create and manage automated provisioning and configuration systems for data infrastructure using infrastructure-as-code principles</li><li>Design, implement, configure and manage system monitoring solutions that alert teams to problems before customers are impacted</li><li>Support developers in code deployment and troubleshooting</li><li>Work closely with customers and other team members to understand complex requirements and translate them into automated solutions</li><li>Provide support to ensure mission critical applications and components are being monitored and meet security, reporting and retention requirements as well as disaster recovery requirements of clients</li><li>Support team members</li></ul> Skills Knowledge & Expertise Required Qualifications: <ul><li>3+ years of DevOps experience</li><li>2+ years of Azure experience</li><li>Data platform experience</li><li>Oracle/SQL server experience</li><li>Java experience</li><li>GCP experience</li><li>Kubernetes experience</li><li>Terraform experience</li><li>Cloud certifications</li><li>Excellent communication skills</li><li>Strong multi-tasker</li><li>Self starter</li><li>Team player</li></ul> Preferred Qualifications: <ul><li>Azure, AWS and GCP Professional level certifications</li><li>Kubernetes certifications (CKA, CKAD, CKS)</li></ul> Benefits & Perks <ul><li>Benefits of full-time remote work but with a close team environment. BSC was built from the beginning to be remote. That means we work extra hard to support a culture of engagement with regular opportunities for in-person interaction.</li><li>Flexible work schedule and time off</li><li>Home office support</li><li>401k with up to 4% company match</li><li>Medical, Dental, Vision and Life Insurance</li></ul>

Cloud Data Platform Engineer Lead
Chandler, Arizona;Richmond, Virginia; Atlanta, Georgia; Charlotte, North Carolina; Plano, Texas; Jersey City, New Jersey; New York, New York
**Job Description:**
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.
One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.
Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.
Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!
**Enterprise Cloud Platforms Team:**
Enterprise Cloud Platforms team in the CTI organization offers Private and Public Cloud platforms for Bank of America’s developers to drive faster time-to-market, innovation with private and public cloud capabilities, and reduce complexity with bult-in integrations. We believe in high quality engineering culture to engineer our platforms with customer and platform mindset, design for large enterprise scale and resilience, and accelerate market innovation into the technical platforms we deliver.
As part of this team, you will have a large impact on the evolution of next generation Cloud services for Bank of America and explore an extensive list of new technologies that will drive innovation across our company.
**Position Summary:**
This individual in Cloud Data Platform Engineer Lead role is responsible for tool and service designs within a technical domain that enable business strategies in accordance with architectural governance, standards, and policies. The role facilitates design and deployment of cloud data analytics solutions by developing templates, playbooks and automation used during implementation. They consistently look for opportunities to improve the reliability and efficiency when implementing and maintaining infrastructure tools and/or services. This individual embraces a culture that drives innovation and continuous improvement. They mentor resources on data cloud and infrastructure services along with application integration validation methods and tools.
This job is responsible for infrastructure tool/service designs within technical domains in accordance with architectural governance, standards and policies. Key responsibilities include facilitating deployment of tools/services by leading others in solution development, maintenance of templates, playbooks and automation used during implementation. Job expectations include demonstrating expertise within technical domains, decomposing issues or objectives into work units, advancing efficient solution delivery practices, and promoting exceptional design, engineering and organizational practices.
**Job Responsibilities include:**
+ Write data cloud infrastructure as code automation using tools such as Terraform.
+ Design and develop public cloud landing zones automation to build core cloud foundational data services.
+ Develop cloud data services provisioning automation with integrated capabilities of IAM, network, security policies as code, and observability.
+ Implement built-in resiliency, observability, and enable FinOps as a part of infrastructure automation to enable cloud IaaS and PaaS platform services.
+ Develop and maintain cloud data services catalog.
+ Develop IaC and CI/CD pipelines to build the cloud data platform and data pipelines.
+ Collaborate with technical product management and operations, to deliver the engineering roadmap following the agile model.
+ Partner with Information Security teams to engineer secure app patterns into Cloud platforms.
+ Assist technical Analysts and Infrastructure Engineers by ensuring that technology solutions comply with enterprise system design and engineering standards.
+ Promote an inclusive and healthy working environment and help to resolve organizational impediments/blockers.
+ Contributes to the creation/selection of functional and non-functional product evaluation requirements within and across domains.
+ Mentors and assists Infrastructure resources on infrastructure service along with application integration validation methods and tools to ensure that technology solutions comply with enterprise system design and engineering standards.
+ Assist in translating business requirements into technical definitions, reference models, blueprints, and playbooks for deployment in compliance with architecture standards and policies.
**Required Skills:**
+ Minimum of a 4 year degree in Computer Science, related discipline, or equivalent working experience
+ Minimum 3+ years of Cloud Automation Engineer working experience
+ Significant experience writing Hashicorp Terraform configurations and modules
+ Experience in DevOps and GitOps models with infra-as-code, config-as-code, policy-as-code, etc
+ Proficient in translating designs into fully developed Terraform code
+ Strong knowledge of Microsoft Azure Cloud, certification preferred. AWS and GCP desirable
+ Solid understanding of cloud networking concepts, subnets, routing, load balancing, firewalls, and cloud security
+ Experience in enterprise-scale environments, building highly available IaaS and PaaS Platform solutions
+ Experience in landing zones, cloud-native security, monitoring and logging tools, and Well-Architected Data Framework principals (data Mesh)
+ Experience in Azure data analytics technologies including Azure Data Factory, Azure Data Lake, Azure Databricks, Microsoft Purview and Power BI
+ Experience in programming and infra-automation tools – Terraform, Ansible, Java, python, etc
+ Experience in Cloud logging, monitoring, and observability tools
+ Proficient in at least one scripting language (i.e., Bash, Python)
+ Strong analytical, problem solving and organizational skills
+ Excellent communication skills
+ Excellent collaboration skills and ability to work in a global team
**Desired Skills:**
+ Experience in financial services industry
+ Experience on technology and infrastructure teams
+ Experience in Linux/UNIX system administration
+ Understanding of data governance, compliance and data controls design and implementation
+ Analytical Thinking
+ Application Development
+ Production Support
+ Risk Management
+ Solution Design
+ Automation
+ Business Acumen
+ DevOps Practices
+ Solution Delivery Process
+ Stakeholder Management
+ Adaptability
+ Architecture
+ Innovative Thinking
+ Project Management
+ Technical Strategy Development
**Shift:**
1st shift (United States of America)
**Hours Per Week:**
40
Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates.
To view the "EEO is the Law" poster, CLICK HERE (ol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf) .
To view the "EEO is the Law" Supplement, CLICK HERE (ol.gov/ofccp/regs/compliance/posters/pdf/OFCCP\_EEO\_Supplement\_Final\_JRF\_QA\_508c.pdf) .
Bank of America aims to create a workplace free from the dangers and resulting consequences of illegal and illicit drug use and alcohol abuse. Our Drug-Free Workplace and Alcohol Policy (“Policy”) establishes requirements to prevent the presence or use of illegal or illicit drugs or unauthorized alcohol on Bank of America premises and to provide a safe work environment.
To view Bank of America’s Drug-free workplace and alcohol policy, CLICK HERE .

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Data Platform Engineer Jobs in Atlanta, GA

Data Platform Engineer Remote EligibleJuly 25, 2024

Devopsdata Platform Engineer Azure Exp 100 RemoteJuly 21, 2024

Senior Data Platform Engineering ManagerJuly 20, 2024

Aiml Data Platform EngineerJuly 13, 2024

Devopsdata Platform Engineer Azure Exp 100 RemoteJuly 13, 2024

Cloud Data Platform Engineer Lead_July 3, 2024