Sr Data Engineer

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

Designs, builds, and maintains large-scale data infrastructure and data processing systems. Implements robust and scalable solutions to support data-driven applications, analytics, and business intelligence.

Required Qualifications

5 years work applicable experience

Ability to collaborate closely with product, data analytics teams, and Epic analysts

Strong problem-solving and troubleshooting skills in complex, mission-critical healthcare environments

Experience designing real-time streaming pipelines and batch workflows

Strong hands-on experience parsing, transforming, and mapping HL7 v2 / v3

Proficiency in building scalable data pipelines on Big Data Platforms and ETL / ELT workflows

Strong Python programming experience for data ingestion, transformation, and automation workflows

Preferred Qualifications

3+ years in senior or lead roles.

Expert-level skills in writing and optimizing complex queries (preferably across multiple databases – e.g., SQL Server, Snowflake, Postgres)

Solid knowledge of Apache Kafka (Kafka Streams, Schema Registry, Avro / JSON serialization)

Advanced experience building distributed data pipelines, ETL / ELT workflows, and real-time / streaming jobs (Spark SQL, PySpark, Spark Structured Streaming)

Strong understanding of data modeling, data quality, and governance in regulated environments (HIPAA, HITRUST)

Prior experience in healthcare IT, EMR / EHR systems (Epic preferred), and HL7 / FHIR standards

Experience developing data integration services or custom connectors using Java / Kotlin, particularly for EMR / clinical system

Familiarity with Epic Interconnect APIs, Bridges, or other healthcare interoperability frameworks

Experience with Azure (preferred), AWS, or GCP for data engineering workloads

Experience working on Databricks platform

Education

Bachelor's degree preferred / specialized training / relevant professional qualification. Computer Science or Equivalent Years of Relevant Experience

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is :

$83,430.00 - $222,480.00

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

We anticipate the application window for this opening will close on : 10 / 17 / 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.