Senior Data Engineer
Core
Build and scale Python/Snowflake infrastructure to support dynamic analytics and automated self-service data workflows for a global digital health company.
Role type
Senior Data Engineer (Infrastructure & Analytics)
Builds
Resilient ELT pipelines, analytics schemas (Star Schemas), and agentic AI infrastructure for automated reporting.
Domain
Digital Health / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python (modular, testable code), SQL (expert-level), Snowflake (performance optimization, cost-governance), CI/CD (GitHub Actions, Argo CD), Workflow Orchestration (Prefect, Airflow), Observability (Datadog, Monte Carlo)
Preferred skills
Snowflake Cortex/MCP familiarity
Technologies
Python, Snowflake, Looker, Datadog, Monte Carlo, GitHub Actions, Argo CD, Prefect, Airflow
Responsibilities
Develop core Looker views and agentic AI infrastructure; Design, build, and scale resilient ELT pipelines; Build and maintain analytics schemas (Star Schemas); Lead projects from inception to production; Monitor production health using observability tools; Conduct code reviews and define engineering culture.
Seniority
Senior, hands-on IC with technical leadership