Data Engineer III - Analytics Engineer (Databricks)

Role overview

Responsibilities

• Develop end-to-end Databricks pipelines with DLT, Delta Lake, and Unity Catalog for governance, lineage, and access controls.
• Build Python/PySpark ingestion and integration pipelines to consume company data products into the Lakehouse; use Alteryx or Prophecy as feeder tools where appropriate.
• Create a governed Databricks SQL self-service layer with curated semantic models, intuitive views, and controlled exposure.
• Partner with data product owners and data architects on cataloging, lineage, ownership, and entitlements.
• Turn data into actionable narratives and decisions through clear communication with non-technical stakeholders.
• Deliver executive-ready dashboards and self-service analytics in Tableau and/or Sigma on Databricks-served data.
• Use AI tools such as GitHub Copilot to accelerate development, while independently validating generated code and documentation.

Required qualifications

• Degree or certification in Computer Science, Information Systems, Data Engineering, or a related discipline.
• 5+ years of applied experience in data engineering, analytics engineering, or business intelligence in a complex, regulated environment.
• Independently design, write, test, and maintain ETL pipelines; strong SQL and production-grade Python/PySpark experience.
• Experience building and executing pipelines on Databricks.
• Experience with self-service analytics platforms, semantic layers, BI data models, and governed virtualization for non-technical users.
• Strong communication and customer-centric skills; able to clarify business-user requirements and support adoption.
• Comfort with change management and access control in a controlled environment; working knowledge of Git, Jules, and ServiceNow.

Preferred qualifications

• Hands-on Alteryx and Prophecy experience for ETL pipeline development is preferred.
• Familiarity with AWS cloud environments supporting data workloads is preferred.
• Risk Management, Compliance, Finance, or Audit experience is preferred; alternatively, ability to rapidly develop risk and regulatory fluency.