Position Summary
We are seeking a highly skilled Senior Software Development Engineer/ Data Engineering resource to serve as the senior engineer for enterprise data platforms supporting AI-driven insights, customer contact center. This role requires strong knowledge of Extraction Transformation and Loading (ETL) processes , combined with strong technical leadership, data architecture ownership, and cross-team collaboration.
As a Senior Engineer, you will lead complex data engineering initiatives, set engineering standards, and partner closely with architects, product owners, and business stakeholders to deliver scalable, secure, and high-performance data solutions in a regulated healthcare environment.
Key Responsibilities
Partner with product and business stakeholders to understand business requirements.
Act as the senior technical lead for Project Data Assets , owning data engineering standards, and complex implementation decisions across batch and streaming pipelines.
Examine data to find significant customer insights and potential uses for the information.
Lead a small team of data analysts, and collaborating with product and technology teams to align reporting needs with strategic objectivesTranslating business requirements into technical specifications for reporting and data analysis.
Ability to use enterprise configured CI/CD pipelines using GitHub Actions, Jenkins, and Cloud Build; implement infrastructure as code using Terraform.
Support AI/ML pipelines using Vertex AI, BigQuery ML, and advanced data orchestration tools for analytics use cases.
Required Qualifications
5+ years of professional software/data engineering experience with strong hands-on experience in dealing with Data Visualization, Business Intelligence, and Information Systems
3+ years building and managing large-scale data pipelines (batch + streaming)
3+ years strong expertise in: Python, SQL, Spark/PySpark, BigQuery, Dataflow, Pub/Sub, Cloud Composer
3+ years experience working in Agile/Scrum environments
3+ years of data architecture, data modeling, and distributed systems
Preferred Qualifications
Experience in Healthcare, Insurance
Experience working on large-scale analytics or AI-driven platforms
Experience with visualization tools such as Looker, Tableau, or Power BI
Familiarity with data governance tools and frameworks (Data Catalog, lineage, quality frameworks)
Exposure to streaming technologies (Kafka, Pub/Sub)
Education
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The 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.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full0time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well0being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on .
We anticipate the application window for this opening will close on: 06/13/2026
