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# Senior Data Engineer (Databricks)

- **Company:** Robert Half
- **Location:** Morristown, NJ, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Cluster Analysis, Information Systems, Data Architecture, Information Engineering, Data Governance, Data Warehousing, DevOps, Github, Apache Hive, JD Edwards EnterpriseOne, Python (Programming Language), Metadata, Microsoft SQL Server, Power BI, Software Systems, SQL Databases, SQL Server Reporting Services, SQL Server Integration Services, Apache Spark, Agentic-AI, Git, Microsoft Fabric, Data Lakes, Pyspark, Information Technology, Star Schema, Semantic Modeling, Terraform, Azure Synapse Analytics, Key Vault, Databricks
- **Published:** October 23, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3466431825&tx=KJ4949FFL&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

experience in CANDIDATES SHOULD HAVE EXPERIENCE WITH: Serving as a Databricks SME ERP integrations (strong plus) Python / PySpark Performance tuning and optimization Databricks maintenance, including VACUUM Data governance and best practices Semantic modeling, Education: Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience. Track Record: 5+ years dedicated to Databricks/Apache Spark platforms and 8+ years overall in Data Engineering/BI. Proven experience taking an enterprise lakehouse end-to-end into production. System Experience: Deep hands-on experience migrating legacy warehouses (SQL Server, Synapse, ADF) and sourcing data from ERPs (JD Edwards strongly preferred). Certifications (Preferred): Databricks Certified Data Engineer detail oriented/Data Architect; Azure DP-203 or AZ-305. TECHNICAL SKILLS Databricks & Spark: Advanced PySpark, Spark SQL, Databricks Workflows, Delta Live Tables, Unity Catalog, Auto Loader, and Photon. Data Modeling & Storage: Star Schema, SCDs, Conformed Dimensions, Delta Lake (MERGE, Liquid Clustering, Z-ORDER, Time Travel). Cloud & DevOps: Azure Gen2, Key Vault, Entra ID, Git, Azure DevOps/GitHub Actions, Databricks Asset Bundles, and Infrastructure as Code
(Terraform). Legacy & Integration: SQL/T-SQL, SSIS, SSRS, Synapse, ADF, CDC/replication tools, Direct Lake/Power BI integration, and Microsoft Fabric/OneLake. AI & Modern Workflow: Agentic AI coding tools, natural language query curation (Databricks Genie), and metadata-driven semantics. SOFT SKILLS Strong technical ownership, architectural influence, and clear communication with both executives and engineers. Excellent cross-functional collaboration with offshore partners, citizen developers, and business stakeholders. Pragmatic problem-solving, critical thinking, and time management across build and legacy support. Technology Doesn't Change the World, People Do.