Staff Data Engineer, EHR Layer
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Job Description
Staff Data Engineer building an EHR integration layer for an AI-powered healthcare efficiency platform. Designing scalable data infrastructure and collaborating with cross-functional teams.
Responsibilities:
- Architect the initial dbt project structure and establish modeling patterns for our EHR integration layer.
- Design and build foundational data models that normalize and standardize data from diverse EHR systems (Epic, Cerner, NextGen, etc.).
- Establish data quality frameworks, testing strategies, and observability patterns for the EHR integration layer.
- Create reusable transformation patterns and documentation that enable rapid integration of new EHR data sources.
- Collaborate with product and engineering teams to define data contracts and specifications for the EHR layer.
- Build resilient data pipelines that handle the complexities of healthcare data (HL7, FHIR, proprietary formats).
Requirements:
- 5+ years of data engineering development experience with a focus on cloud-based data pipelines and infrastructure.
- Strong experience architecting greenfield data platforms and establishing foundational patterns.
- Expertise with dbt, including project architecture, macros, testing strategies, and documentation.
- Deep expertise in SQL and data modeling (dimensional modeling, normalization strategies).
- Experience with healthcare data standards (HL7, FHIR, X12) is a strong plus.
- Expertise in relational and columnar databases (Snowflake, Postgres).
- Experience with data orchestration tools (Airflow, Dagster, Temporal, etc).
- Excellent communication and documentation skills - you'll be establishing patterns others will follow.
- Bachelor's or Master's in Computer Science, Engineering, or a related field, or equivalent experience.
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