Senior Data Engineer
About The Position
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
- Excellent oral and written communication skills
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
- Designing, integrating, and implementing solutions on-premise
- 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
- Identifying and implementing process improvements, and best practices
- Taking ownership to work within a fast-paced, collaborative, and team-based support environment
- Translating complex technical/AI concepts for non-technical stakeholders
Benefits
- medical
- dental
- vision coverage
- paid time off
- retirement savings options
- wellness programs
- CVS Health bonus, commission or short-term incentive program
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What This Job Offers
Job Type
Full-time
Career Level
Senior
