Senior Databricks Data Engineer
3B Staffing LLC
We're looking for a Senior Databricks Data Engineer to support a cloud modernization initiative where legacy SQL Server/SSIS pipelines are being rebuilt on a modern Databricks Lakehouse platform. This is a hands-on engineering role with the opportunity to influence standards, build net-new pipelines, and help shape a scalable cloud data environment.
Key experience we're seeking:
• Hands-on Databricks development (SQL + PySpark)
• Strong data warehousing fundamentals (facts, dimensions, modeling)
• Experience modernizing or migrating ETL pipelines
• Cloud experience (Azure or AWS)
• Comfort working in an early-phase, fast-evolving environment
Translate existing SQL Server/SSIS logic into Databricks-based modern cloud architecture
Apply data warehouse concepts (star schemas, slowly changing dimensions, fact/dimension modeling) to pipeline and table design
Build scalable, reliable ETL/ELT processes to support analytics, reporting, and downstream systems
Participate in cloud migration activities and support integration across data, BI, and application teams
Partner with data architects and engineering leads to design and implement Lakehouse solutions
Contribute to standards for coding, documentation, testing, and performance optimization
Support data validation and QA processes to ensure accuracy during and after migration
Participate in ongoing development phases as the platform expands to new domains and workloads Required Skills Hands-on experience with Databricks (not just exposure)
Strong understanding of data warehousing concepts including dimensional modeling
Proficiency with SQL for transformations, performance tuning, and pipeline logic
Experience with Python and/or PySpark in a data engineering environment
Experience migrating or modernizing legacy ETL processes (SSIS experience a plus)
Background in building scalable pipelines in cloud environments (Azure or AWS)
Ability to work in an early-stage environment with evolving requirements
Strong communication skills and ability to collaborate with architecture, BI, and integration teams Nice to Have Experience with Delta Live Tables or Databricks Workflows
Experience with Power BI or similar BI tools
Familiarity with DevOps practices for data (CI/CD, Git, testing frameworks)
Experience supporting data validation or automated QA frameworks
Exposure to professional services, legal, or real estate environments (not required) Critical Success Factors Comfortable working hands-on and iteratively as the cloud platform matures
Ability to interpret legacy ETL logic and redesign it for Databricks and Spark
Strong grounding in SQL and Python as core languages within Databricks
Ability to deliver high-quality pipelines with accuracy, reliability, and performance
Collaborative mindset and willingness to work across multiple technical teams
Vacancy posted 11 hours ago
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