Databricks QA Engineer
Exact salary band and monthly in-hand breakdown will be confirmed during the ATS technical evaluation.
- Target Role:Databricks QA Engineer
- Employer:V4c Ai
- Work Mode:REMOTE
- Location:Remote (United States)
- Compensation:Competitive Remote Compensation (Official)
- Experience:2+ Years
- Recruiter SLA:7-Day Truth Teller Guarantee
- Candidate Fee:₹0 (Zero Placement Fee Guarantee)
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About the Role
Headquarters: United States URL: https://jobs.workable.com/company/kb5Wja5n4RGDc2pq5FujAz/jobs-at-v4c.ai About V4C V4C 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 Role This 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 documented test plans covering scope, risk, and coverage Build and maintain automated test suites in Python and PySpark (pytest), integrated into CI pipelines Validate data pipelines end to end: ingestion, Medallion layer transformations, Delta Lake tables, and ELT workflows Implement data quality rules as code, including Lakeflow expectations and reusable validation frameworks Run regression validation after code changes and maintain CI quality gates that block merge or promotion on failure Partner with engineers to identify automation candidates and raise the coverage bar across the practice 5+ years in QA automation or test engineering, including meaningful time testing data pipelines rather than applications alone A data engineering background: you can read a pipeline
Requirements & Qualifications
- Strong problem solving foundations, knowledge of modern engineering practices, and interest in technology systems.
Perks & Benefits
- Official mentor support
- verified hiring timeline
- and career progression.
The employer seeks candidates proficient in the following core technologies:
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Verified Direct Application Link
Official position sourced directly from V4c Ai's verified career portal.
Apply directly on V4c Ai's portal using the link above. Use "Track with Truth Teller" to log your submission timestamp and automated 7-day follow-up countdown in your dashboard.
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How do I apply for Databricks QA Engineer at V4c Ai?▼
Click "Apply on Official Site" on this page to be routed directly to V4c Ai's official applicant tracking system (EXTERNAL). RoleNest connects you directly with ₹0 candidate fees and activates automated 7-day follow-up telemetry in your dashboard.
What is the compensation or stipend for this role?▼
The verified package for this role is Competitive Remote Compensation (Official) (REMOTE). RoleNest enforces transparent compensation benchmarking to eliminate guessing before candidates invest time in assessments.
Who is eligible to apply for this opening?▼
Engineers with 2+ years of experience proficient in Python are encouraged to apply.
How does RoleNest Truth Teller protect applicants from ghosting?▼
Truth Teller tracks candidate application timestamps and recruiter response telemetry. If V4c Ai does not update your application status within 7 business days, RoleNest provides polite, ATS-tailored follow-up email templates and highlights active matching roles to keep your momentum high.
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