Lead Analytics Engineer - Data Modeling & Quality
Core
Lead Analytics Engineer responsible for data modeling, SQL/DBT development, and owning data quality for clinical and claims data in healthcare.
Role type
Senior IC Analytics Engineer (Data Modeling & Quality)
Builds
Trusted production-grade datasets from raw clinical and claims data for health plans, ACOs, and provider groups
Domain
Healthcare (Population Health Analytics, Claims, EHR)
Deliverable
production ML models | product features
Required skills
Advanced SQL, DBT (models, tests, macros), Data Quality monitoring, Spark/Hudi, AWS Redshift, Clinical data literacy, Claims data literacy
Preferred skills
Spark SQL, Data quality monitoring tools, AI tooling (Claude), Python scripting, Argo Workflows, Healthcare data standards (ICD-10, CPT, LOINC)
Technologies
DBT, Spark, SQL, Amazon Redshift, Apache Hudi, AWS Athena, Argo Workflows, Airflow, Git, GitHub, Grafana, Jira
Responsibilities
Author and maintain DBT models using Spark/Hudi; Design and maintain volume and data quality monitors; Troubleshoot data quality issues and write DBT tests; Optimize SQL performance; Partner with Data Engineering on table design; Lead data quality reviews during connector promotion
Seniority
Senior, hands-on IC
