We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health , you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.
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 Senior 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 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.
This role will work onsite in our Buffalo Grove, IL office 3 days per week (every other week).
Required Qualifications- 3+ years of experience with SQL, NoSQL
- 3+ years of experience with Python
- 3+ years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components
- 3+ years of experience with ETL/ELT, and building high-volume data pipelines
- 3+ years of experience with reporting/analytic tools
- 3+ years of experience with Query optimization, data structures, transformation, metadata, dependency, and workload management
- 3+ years of experience with Big data and cloud architecture
- 3+ years of hands-on experience building modern data pipelines within a major cloud platform (preferably Google Cloud Platform, open to AWS or Azure)
- 3+ years of experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS)
- 3+ years of experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions, Kafka, Spark Streaming)
- 1+ year(s) of soliciting complex requirements and managing relationships with key stakeholders
- 1+ year(s) of experience independently managing deliverables
Preferred Qualifications- Experience building Agentic AI tools
- Experience with Git, CI/CD pipeline, and other DevOps principles/best practices
- Experience with bash shell scripts, UNIX utilities & UNIX Commands
- Understanding of software development methodologies including waterfall and agile
- Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources
- Knowledge of API development
- Experience with complex systems and solving challenging analytical problems
- Strong collaboration and communication skills within and across teams
- Google Professional Data Engineer Certification
- Knowledge of microservices and SOA
- Formal SAFe and/or agile experience
- Previous healthcare experience and domain knowledge
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 Hours40
Time TypeFull time
Pay RangeThe typical pay range for this role is:
$101,970.00 - $203,940.00
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 peopleWe 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 ;br>
We anticipate the application window for this opening will close on: 03/30/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
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