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  • Sr Data Engineer

    CVS Health (Austin, TX)



    Apply Now

    At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

     

    As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

    Position Summary

    If you’re eager to make a real impact in the health care industry through your own meaningful contributions, explore a role in technology with CVS Health. Our journey calls for technical innovators and data visionaries: come help us pave the way.

     

    At CVS Health, we possess an extensive repository of healthcare data that spans over 150 million individuals, providing an unparalleled foundation for ambitious Data Engineers. In this role, you will engage with complex business challenges, harnessing modern tools and technologies to securely store, process, transform, and enrich terabyte to petabyte scale healthcare data. Your work will underpin data-driven business decisions and contribute to our mission of delivering industry-best data products / software with a customer-first mindset and team-oriented approach.

     

    As a Data Engineer, you will be instrumental in designing, developing, and maintaining optimal data pipelines to assemble large and intricate datasets, catering to the business requirements of various CVS lines of business. Collaborating closely with teams, you will craft tools to provide actionable insights and integrate them with consumer touchpoints.

    As a Data Engineer, you will:

    + Communicate with business leaders to help translate requirements into functional specification

    + Develop broad understanding of business logic and functionality of current systems

    + Analyze data by writing and running SQL queries to troubleshoot possible issues on data loads

    + Deliver and document clean and functional code in accordance with business requirements

    + Engineer scalable, reliable, and performant processes to manage data

    + Collaborate closely with other Engineers, QA, Business Analyst, and Product Manager in your team as well as across the organization

    + Provide on-call support for production data pipelines and systems as part of a team rotation.

    + Proficient across the entire software lifecycle, including design, development, deployment, monitoring, and troubleshooting of production systems.

     

    As leaders in healthcare, our analytics and engineering teams deliver innovative solutions to business problems by collaborating with cross-functional teams in a dynamic and agile environment. You will be part of a team that values collaboration and encourages innovative thinking at all levels. You will be intellectually challenged to solve problems associated with large scale complex, structured and unstructured data, that will allow you to grow your technical skills and engineering expertise.

    Required Qualifications

    + 5+ years of experience with SQL, NoSQL

    + 5+ years of experience with Python (or a comparable scripting language)

    + 5+ years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components

    + 5+ years of experience with ETL/ELT, and building high-volume data pipelines (such as Azure Data Factory, Airbyte, Github Actions)

    + 5+ years of experience with reporting/analytic tools

    + 5+ years of experience with query optimization, data structures, transformation, metadata, dependency, and workload management

    + 3+ years of experience with Snowflake cloud data warehouse architecture.

    + 2+ years of experience with DBT (Data Build Tools).

    Preferred Qualifications

    + Proven ability to complete projects in a timely manner while clearly measuring progress

    + Experience with cloud-based systems (Snowflake / Azure / AWS / GCP).

    + Strong understanding and demonstrated experience with at least one popular programming language (Python, .NET, or Java) and SQL constructs.

    + Strong experience with use of RESTful APIs

    + High level understanding of system deployment tasks and technologies. (CI/CD Pipeline, K8s, Terraform).

    + Strong software engineering fundamentals (data structures, algorithms, async programming patterns, object-oriented design, parallel programming)

    + Strong experience with revision control (Git)

    + Experience writing and maintaining frontend client applications, React preferred.

    + High level understanding of big data design (data lake, data mesh, data warehouse, iceberg) and data normalization patterns

    + Demonstrated experience with Message Queuing technologies (Kafka / SNS / RabbitMQ / etc)

    + Demonstrated experience with Metrics, Logging, Monitoring and Alerting tools

    + Strong communication skills

    + Experience working with Cursor AI, Github CoPilot, or similar AI-enhanced development environments.

    + High level understanding of HL7 V2.x / FHIR based interface messages.

    + Ability to travel up to 20% or as needed.

    Education:

    Bachelor’s Degree or equivalent work experience in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning, or related field required. Master’s Degree preferred.

     

    Anticipated Weekly Hours

     

    40

     

    Time Type

     

    Full time

     

    Pay Range

    The typical pay range for this role is:

    $92,700.00 - $185,400.00

     

    This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

     

    Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

     

    Great benefits for great people

     

    We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

     

    + **Affordable medical plan options,** a **401(k) plan** (including matching company contributions), and an **employee stock purchase plan** .

    + **No-cost programs for all colleagues** including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.

    + **Benefit solutions that address the different needs and preferences of our colleagues** including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

     

    For more information, visit https://jobs.cvshealth.com/us/en/benefits

     

    We anticipate the application window for this opening will close on: 10/20/2025

     

    Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

     

    We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

     


    Apply Now



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