Senior Data Engineer

CVS Health•Irving, TX

2d•Onsite

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 The Senior Data Engineer will be responsible for delivering high quality modern data solutions through collaboration with our engineering, analysts, data scientist, and product teams in a fast-paced, agile environment leveraging cutting-edge technology including AI/ML and GenAI capabilities to reimagine how Healthcare is provided. You will be instrumental in designing, integrating, and implementing solutions on-premise as well as supporting migrations of existing workloads to the cloud, with a growing focus on building the data foundations (pipelines, feature stores, vector stores) that power AI-driven products. The Senior Data Engineer is expected to have extensive knowledge of modern programming languages, and experience designing and developing data solutions that increasingly support ML and generative AI use cases.

Requirements

6+ years of experience working with SQL and relational database management systems
3+ years of experience in Cloud Data Engineering Platforms such as AWS, GCP, Azure, Databricks, Snowflake etc.
Hands-on experience building and deploying Agentic AI solutions in complex cloud infrastructure environments, including orchestration frameworks (e.g., LangChain, LangGraph) and integration with LLM APIs
Experience building data pipelines to support ML/AI workloads including feature engineering, embedding generation, and integration with vector databases (e.g., Pinecone, Weaviate, pgvector) for retrieval augmented generation (RAG) use cases
Familiarity with MLOps/LLMOps practices, model versioning, monitoring, and data pipeline support for production ML/AI systems (e.g., Vertex AI, SageMaker, Azure ML)
Hands on experience with troubleshooting data issues
Hands on experience with various performance improvement techniques
Willingness to identify and implement process improvements, and best practices, as well as ability to take ownership to work within a fast-paced, collaborative, and team-based support environment
Excellent oral and written communication skills, including the ability to translate complex technical/AI concepts for non-technical stakeholders

Nice To Haves

Familiarity with healthcare data and healthcare insurance feeds is a plus
Exposure to prompt engineering, model evaluation frameworks, or AI governance/responsible AI practices in a regulated (e.g., healthcare) environment

Responsibilities

Delivering high quality modern data solutions through collaboration with our engineering, analysts, data scientist, and product teams in a fast-paced, agile environment leveraging cutting-edge technology including AI/ML and GenAI capabilities to reimagine how Healthcare is provided.
Designing, integrating, and implementing solutions on-premise as well as supporting migrations of existing workloads to the cloud.
Building the data foundations (pipelines, feature stores, vector stores) that power AI-driven products.
Designing and developing data solutions that increasingly support ML and generative AI use cases.
Troubleshooting data issues.
Implementing process improvements and best practices.
Translating complex technical/AI concepts for non-technical stakeholders.