Staff Data Engineer ( Seattle/Provo Hybrid)
Core
Design, build, and optimize enterprise-scale data infrastructure and pipelines on Azure and Databricks to enable data-driven decision-making.
Role type
Staff Data Engineer (Unified Data Platform)
Builds
Scalable ETL/ELT frameworks, data lakes, SQL databases, and curated datasets for reporting tools.
Domain
Healthcare and complex industries data analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Azure Data Lake, Azure Data Factory, Databricks, Apache Spark, Delta Lake, SQL, Python, data modeling, data governance, metadata management, CI/CD, Git
Preferred skills
Scala, machine learning integration within data pipelines
Technologies
Azure, Databricks, Spark, Delta Lake, GitLab, Azure DevOps, Power BI
Responsibilities
Design and optimize data pipelines and workflows; implement scalable ETL/ELT frameworks; drive data quality and governance initiatives; collaborate on data models; maintain documentation and engineering best practices; mentor junior engineers; support CI/CD pipeline development; partner to publish datasets for reporting.
Seniority
Staff, hands-on IC with mentorship
