Senior Analytics Engineer
Remote, United States
R
USD 108K-160K (estimate) Senior-level Full Time
Tasks
- Architect multi domain data models for scale reuse performance
- Build and maintain data models for reporting needs
- Build clean well documented datasets for self serve use
- Collaborate with IT and data engineering on integrations and platform infrastructure
- Design and maintain semantic layers for curated governed metrics
- Design and optimize data pipeline and ingestion workflows
- Ensure data outputs match care delivery accurately
- Establish and govern semantic layer or metrics tooling
- Evaluate and onboard new tooling across the data stack
- Implement data observability and SLA monitoring
- Lead modeling standards code review and data testing strategy
- Maintain data catalog and documentation standards for domain
- Surface data gaps and quality issues to stakeholders
- Train clinical stakeholders on data tools and drive adoption
- Translate business questions into structured data requirements
- Work with clinical stakeholders to validate data logic
- Write and maintain data tests documentation and lineage
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Spark | AtScale | Cloud Data | Cloud Data Warehouse | Cube Semantic Layer | DBT | Data Engineering | Data Ingestion | Data Lineage | Data Modeling | Data Observability | Data Quality | Data Testing | Data Warehouse | Data pipeline | Databricks | FHIR | HL7 | LLM | LookML | Metrics | Microsoft Fabric | Performance Tuning | Prefect | SLA monitoring | Semantic layer | Sigma BI | ThoughtSpot
Education
N/A
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