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# Senior Data Engineer

- **Company:** CVS Health
- **Location:** Irving, TX, United States
- **Experience:** Expert
- **Salary:** $92,700.0 - $185,400.0
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Database, Encodings, Data Systems, Relational Databases, Standard Sql, Azure Machine Learning, Systems Integration, Pinecone, Feature Store, Google Cloud, Feature Engineering, Large Language Models, Snowflake, Prompt Engineering, Model Validation, Generative AI, Agentic-AI, Pgvector, Kubernetes, Information Technology, Weaviate, Machine Learning Operations, Software Version Control, Data Pipelines, Databricks, Programming Languages
- **Published:** October 4, 2026
- **Apply:** https://dejobs.org/x/x/FB4B42844FEF4F119672EAEF75C924FA/job/

## About the Role

* 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

Preferred Qualifications

 * 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, * Bachelor's degree in Computer Science / Engineering

## Description

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.