Senior Data Engineer

We are seeking a Senior Data Engineer with deep experience working with clinical and real-world healthcare data. This role will focus on building and scaling data pipelines that support analytics, research, and downstream machine learning use cases. The ideal candidate has hands-on experience with OMOP, Databricks, and modern data stacks, and understands the real-world challenges of clinical data harmonization across disparate healthcare sources.

Day-to-Day Responsibilities

• Design, build, and maintain scalable data pipelines for large, complex clinical datasets (EHR, pathology, genomics, etc.)
• Implement and manage data transformations and analytics workflows using Databricks (Spark, Delta Lake)
• Ingest, standardize, and harmonize healthcare data into OMOP Common Data Model
• Partner with clinical, analytics, and ML teams to ensure data is reliable, well-documented, and fit for downstream use
• Lead data quality, validation, and observability efforts for clinical data pipelines
• Develop data models and schemas that support analytics, research, and ML use cases
• Optimize performance, cost, and reliability across the data platform
• Contribute to best practices around data governance, versioning, lineage, and reproducibility
• Taking data analysis requirements from commercial customers and mapping to clinical variables from the OMOP, Epic, or other data models

• OMOP Common Data Model (CDM) experience, including clinical data mapping, harmonization, and transformation of healthcare data into OMOP structures.
• Azure Cloud experience, including hands-on development and support of cloud-based data platforms, services, and analytics solutions.
• Epic Clarity Certification with demonstrated experience working within Epic Clarity reporting and analytics environments.
• Epic Caboodle Certification (Epic Cogito) with experience supporting Epic enterprise reporting, data warehousing, and analytics initiatives.
• Experience working with healthcare, clinical, provider, payer, or life sciences data., * Experience working with real-world evidence (RWE), clinical research, or regulatory-facing datasets
• Familiarity with ML or feature engineering pipelines built on clinical data
• Experience supporting downstream LLM, NLP, or ML workloads using healthcare data Knowledge of healthcare data standards beyond OMOP (FHIR, HL7)
• Experience operating data systems in HIPAA-compliant environments

Pulled from the full job description Health insurance Vision insurance Dental insurance, * Dental insurance

• Health insurance
• Vision insurance