Databricks QA Engineer

V4C.ai Is this your company? Claim it · Remote (USA Only) · Full-time

Description

Headquarters: United States URL: https://jobs.workable.com/company/kb5Wja5n4RGDc2pq5FujAz/jobs-at-v4c.ai About V4CV4C is a pure-play Databricks partner, and in under two years we have earned 850+ Databricks certifications across 325+ customers and been named Databricks' 2026 Partner of the Year (C&SI Emerging). As a Databricks QA Engineer on our data engineering team you will own the quality gate for enterprise data platforms, working directly with customers. You will work on live enterprise data platforms alongside one of the most heavily Databricks-certified delivery teams in the market. The RoleThis is a QA role for people who understand data engineering, not general software QA pointed at a data project. You will validate Lakehouse pipelines, which means reasoning about row counts, schema drift, late-arriving data, and silent transformation errors no UI will ever surface. Our approach is automation-first: suites in Python and PySpark, running in CI, blocking promotion when they fail. You own release sign-off, which makes you the last person between a customer and bad data in production. Responsibilities Own test strategy and release sign-off on engagements, including docume…

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Questions about this job

Where is this Databricks QA Engineer job located?

It is listed as Remote (USA Only), so it can be done from home.

Who is hiring?

The employer shown on the listing is V4C.ai.

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The listing does not state a salary. Ask the employer about pay, overtime and payment dates before accepting.

Is it full-time or part-time?

The listing type is Full-time.

When was this job posted?

It was posted on 13 November 2026. Jobs that stay open too long are closed automatically, so apply soon if you are interested.

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