Senior Software Development/Data Engineer

CVS Health•Hartford, CT

1d•$101,970 - $203,940

About The Position

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. 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.

Requirements

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

Nice To Haves

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)

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 objectives
Translating 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.