Senior Data Engineer

Introduction

Are you ready to advance your career by working on cutting-edge healthcare data solutions? Our client is seeking a dynamic Senior Data Engineer to join their innovative Data Platform team. This role is central to transforming Electronic Health Records (EHR) data into structured, analytics-ready assets that support scientific and operational breakthroughs. You'll be part of a collaborative environment, working alongside accomplished data scientists and engineers to redefine healthcare data infrastructure. Positions are available in New York, Boston, San Francisco, or Raleigh.

Skills

• Expertise in Data Transformation: Use SQL, Python, and healthcare data standards like FHIR and HL7 to convert raw EHR data into structured, ready-to-use datasets.
• Pipeline Development: Build scalable pipelines with Dagster for orchestration, dbt for transformation, and Snowflake for compute and storage.
• Generative AI Techniques: Leverage cutting-edge AI methods, including LLM-based entity extraction, summarization, classification, and schema alignment.
• Strong Coding Skills: Develop robust, testable, and version-controlled code adhering to CI/CD and governance best practices.
• Healthcare Data Expertise: Familiarity with EHR modalities, biomedical feature engineering, and ontologies like UMLS, LOINC, and ICD9/ICD10.
• Data Quality & Documentation: Implement validation frameworks and document transformation logic to ensure reproducibility and clarity.

Why Join?

Become an essential part of a team that's revolutionizing healthcare data integration and processes. This position offers a salary range of $200,000 - $250,000 and the chance to make a lasting impact in your field.

Ready to make a difference? Apply now and add your expertise to our client's inspiring vision for the future of healthcare data.