W2 Role: Sr. Databricks Engineer (with Validation/Testing experience)
Posted Today by Logicplanet, Inc.
Negotiable
Undetermined
Remote
Remote
Summary: The role is for a Senior Databricks Engineer with a focus on validation and testing, requiring deep expertise in Databricks and experience with Medallion Architecture. The position is fully remote and is structured as a long-term contract. Candidates must have strong hands-on experience with data ingestion and testing methodologies within Databricks. Familiarity with CI/CD processes and additional testing tools is advantageous but not mandatory.
Key Responsibilities:
- Develop and implement solutions using Databricks with a focus on Medallion Architecture.
- Validate and test data as it transitions across different layers (Bronze, Silver, Gold).
- Ingest data from multiple source systems into data lakes.
- Utilize Databricks notebooks, Unity Catalog, Python, and PySpark effectively.
- Test and report on curated data layers, explaining QA/testing approaches clearly.
- Manage CI/CD processes in Databricks, including code promotion and developer workflows.
- Optionally utilize Playwright and TypeScript for testing.
Key Skills:
- Deep expertise in Databricks development.
- Strong experience with Databricks Medallion Architecture.
- Proficient in validating and testing data across layers.
- Experience with data ingestion from multiple source systems.
- Strong skills in Databricks notebooks, Unity Catalog, Python, and PySpark.
- Knowledge of CI/CD processes in Databricks.
- Familiarity with Playwright and TypeScript is a plus.
- Certifications in relevant areas are advantageous but not required.
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Hello,
Visa. Independent candidate - Need to work on W2
Role: Sr. Databricks Engineer (with Validation/Testing experience)
Location: 100% Remote
Duration: Long Term Contract
Key Requirements
Deep Databricks expertise (developer level), not just exposure
Strong hands on experience with Databricks Medallion Architecture
o Bronze / Silver / Gold (also referred to as Raw / Silver / Mark layers internally)
o 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