Staff Data Engineer
Core
Senior data engineer owning technical design and complex implementation for enterprise data products, pipelines, and integrations within a healthcare diagnostics domain.
Role type
Staff Data Engineer (hands-on IC with design leadership)
Builds
Scalable, governed data products and pipelines for analytics, semantic layers, and AI/ML applications
Domain
Healthcare diagnostics / Life sciences / Data engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Advanced SQL, Python, distributed data systems (Spark/Databricks), cloud infrastructure (AWS/Azure/GCP), data modeling (relational/dimensional/semi-structured), CI/CD, data governance (Unity Catalog), stakeholder translation, mentoring
Preferred skills
Streaming/event-driven architectures (Kafka), regulated environment experience (HIPAA/CLIA), semantic layers/feature pipelines, open formats (Parquet/Avro/Delta Lake), REST API integration, BI concepts (Tableau)
Technologies
Databricks, Spark, AWS, Azure, Google Cloud Platform, Airflow, dbt, Unity Catalog, Kafka, Parquet, Avro, Delta Lake, Tableau
Responsibilities
Own technical design and hands-on delivery for complex data products; define data contracts and quality controls; diagnose and resolve production data quality issues; mentor engineers and provide code/design reviews; collaborate with stakeholders to shape technical solutions; ensure compliance with security, privacy, and healthcare regulations (HIPAA/CLIA)
Seniority
Staff, hands-on IC with design leadership