Senior Data Engineer
Core
Building and optimizing scalable data pipelines, data warehousing, and validation frameworks to power business intelligence, marketing, and data science research for a healthcare technology company.
Role type
Senior Data Engineer
Builds
Scalable data pipelines, reusable datasets, and federated data validation frameworks
Domain
Healthcare technology / Data engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, distributed data processing, data warehousing, data modeling, query optimization, data governance, data privacy, data quality, orchestration (Airflow), Spark development, medallion architecture, event-driven architecture
Preferred skills
Healthcare or insurance domain experience, data security and HIPAA compliance
Technologies
Postgres, Snowflake, AWS, Terraform, Argo, Airflow, Spark, DuckDB, Iceberg, Airbyte, DBT, ElasticSearch, OpenTelemetry, Looker
Responsibilities
Build, optimize, and maintain data pipelines; Define and build out abstracted reusable data sets; Design, build, and evangelize a federated data validation framework; Protect user privacy and security through best practices
Seniority
Senior, hands-on IC