Senior Databricks Engineer
virtual vocationsDenver (CO)
About the role
Owning the ingestion layer for a Databricks lakehouse project, the full-time Senior Databricks Engineer will manage source discovery, design ingestion patterns, and build the ingestion layer while working remotely with a focus on data integration for a U.S. defense manufacturer.
Key responsibilities:
Run source discovery to document data structures, change patterns, and integration topology
Design and implement ingestion patterns for various data sources, ensuring quality and compliance
Model and reconcile bill-of-materials data across multiple systems of record
Required qualifications:
7+ years of production data engineering experience on Databricks with proficiency in Python, PySpark, and SQL
Hands-on experience with Lakeflow Connect or equivalent managed change data capture ingestion
Direct experience building JDBC-based ingestion against Oracle E-Business Suite
Strong knowledge of manufacturing PLM and MBSE systems, specifically Teamcenter and Cameo
Databricks Data Engineer Professional certification
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
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Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
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Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
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