Data Engineer III - Analytics Engineer (Databricks)

Build and maintain end-to-end data pipelines on Databricks using Delta Lake, Delta Live Tables, and Unity Catalog with full governance and access control.

Develop a governed self-service analytics layer with curated semantic models and dashboards using Databricks SQL, Tableau, and Sigma for business teams.

Collaborate with data product owners and architects to ensure data governance, lineage, and secure access while communicating technical insights to non-technical stakeholders.

Bachelor's degree or certification in Computer Science, Information Systems, Data Engineering, or related field.

5+ years of experience in data engineering, analytics engineering, or business intelligence within complex regulated environments.

Hands-on experience designing, writing, testing, and maintaining ETL pipelines using Python, PySpark, and strong SQL skills.

Proven experience with Databricks platform and self-service analytics including semantic layers and governed virtualization.

Experienced in working within controlled, regulated environments requiring change management and access controls.

Skilled at independently managing pipeline development with strong communication to gather business requirements and support BI adoption.

Familiarity or ability to quickly adapt to risk management, compliance, finance or audit domains preferred but not mandatory.