> Markdown version of [/jobs/ext/4550776-senior-data-engineer-databricks](https://www.wearedevelopers.com/jobs/ext/4550776-senior-data-engineer-databricks). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer Databricks - **Company:** INCEED - **Location:** Englewood, CO, United States (Remote available) - **Experience:** Expert - **Salary:** $119,000.0 - $145,000.0 - **Contract:** Permanent contract - **Skills:** Continuous Integration, Information Engineering, Data Governance, Database Queries, Digital Architecture, Dimensional Modeling, Apache Hive, Microsoft SQL Server, SQL Stored Procedures, SQL Server Integration Services, Enterprise Data Management, Apache Spark, Data Lakes, Pyspark, Star Schema, Data Management, Azure Synapse Analytics, Databricks - **Published:** November 3, 2026 - **Apply:** https://www.juju.com/job/2_169716428 ## About the Role * 8+ years of experience in data engineering, warehousing, or BI. * 5+ years building production platforms on Databricks or Spark. * Strong hands-on experience with PySpark and Spark SQL. * Experience owning the design of an enterprise data platform. * Advanced knowledge of Delta Lake and Databricks workflows. * Experience with dimensional modeling and star schema design. * Strong SQL skills, including complex stored procedure analysis. * Experience migrating legacy data platforms to modern cloud architecture. * Hands-on experience with Unity Catalog and data governance. * Ability to remain technical and hands-on in day-to-day development. ## Description * Own the technical design of the Databricks lakehouse platform. * Build and optimize pipelines using PySpark, Spark SQL, and Delta Live Tables. * Design enterprise data models and gold-layer reporting structures. * Support migration from legacy SQL Server, SSIS, Synapse, and ADF workloads. * Implement Unity Catalog governance and data access controls. * Tune performance, reliability, and cloud costs across the platform. * Establish CI/CD, testing, and environment promotion standards. * Partner with business users and BI teams on self-service analytics. * Review offshore partner work and maintain engineering quality. * Document architecture decisions and operational runbooks.