AI Summary
We are seeking a Senior Databricks Engineer with deep expertise in Databricks, Medallion Architecture, and data validation. The ideal candidate will have hands-on experience with Databricks notebooks, Unity Catalog, Python, and PySpark. This is a 3-year project with a remote work arrangement.
Key Highlights
Databricks expertise
Medallion Architecture
Data validation
Key Responsibilities
Building custom utilities
Writing Python and PySpark code
Troubleshooting complex data movement and validation issues
Technical Skills Required
Benefits & Perks
100% remote work
3-year project duration
Nice to Have
Playwright
TypeScript
Job Description
Role: Databricks Engineer (with Validation/Testing experience)
Location: 100% remote (east coast hours)
Duration: 3-year project
Notes/Job Description
The team is seeing many resumes that mention Databricks superficially, but they are specifically looking for a true Databricks expert—someone who knows the platform end‑to‑end, not just an analyst or light user.
This is a hands‑on engineering role, not an analytics position. The ideal candidate should be comfortable building custom utilities, writing Python and PySpark code, and troubleshooting complex data movement and validation issues independently.
Key Requirements
- Deep Databricks expertise (developer‑level), not just exposure
- Strong hands‑on experience with Databricks Medallion Architecture
- Bronze / Silver / Gold (also referred to as Raw / Silver / Mark layers internally)
- Experience validating and testing data as it moves across layers
- Experience ingesting data from 10+ source systems into data lakes
- Very strong with Databricks notebooks, Unity Catalog, Python, and PySpark
- Ability to test and report on curated data layers and clearly explain QA/testing approaches
- Experience with CI/CD in Databricks, including promotion of code vs. developer workflows
- Familiarity with Playwright and TypeScript for testing is nice to have
- Certifications are a plus, but not mandatory
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- Role is embedded within the Enterprise Data & Analytics Platform team
- Must align with established QA and governance processes
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