Senior Data Engineer
Skills
CLIClinical AnalyticsCommandData WarehousingDownstream Oil And GasEmbraces ChangeHealthcare
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 5–7+ years of healthcare data engineering or analytics engineering experience
- Expert level SQL proficiency and strong data modeling fundamentals
- Strong experience with dbt and orchestration tools
- Experience with cloud data warehouses preferably Snowflake including performance aware SQL development and query optimization
- Experience designing scalable data models including incremental approaches and comprehensive testing strategies
- Comfort working with the command line version control CI/CD testing and code review
- Ability to troubleshoot complex data issues across ingestion transformation and warehouse layers
- Ability to communicate findings and solutions effectively to technical and non technical audiences
- Ability to reason about downstream analytical impact including data freshness grain and transformation behavior
Nice to have
- Python
- API-based ingestion
- Event-driven ingestion
- AWS
- FHIR
- High-volume ingestion
Day to day
- Design and build scalable dbt models and ELT pipelines that power product clinical analytics and operational reporting.
- Transform raw data from many sources into reliable consumable datasets with strong observability and well documented logic.
- Partner across product engineering and stakeholder teams to troubleshoot issues resolve dependencies and improve data workflows.