
51 - 200 employees
💼 Consulting
🏥 Healthcare
🏭 Manufacturing
Consulting • Healthcare • Manufacturing
v4c. ai is a Databricks-focused data and AI services firm that helps enterprises modernize data platforms and accelerate AI initiatives. They provide advisory, migration, MLOps, generative AI, and data governance services, plus prebuilt migration accelerators and production-ready ML pipelines to reduce time-to-value. v4c. ai serves regulated and data-intensive industries (financial services, retail, manufacturing, healthcare) and emphasizes Databricks implementation, scalable model deployment, and long-term operational support.
🔥 2 minutes ago
🇺🇸 United States – Remote
💵 $140k - $165k / year
⏳ Contract/Temporary
🟡 Mid-level
🟠 Senior
🔧 QA Engineer (Quality Assurance)
👻 Ghost score 1%
Where this job comes from
Posted on v4c.ai's careers page ↗, not through a job board
First seen by Remote Rocketship 2 minutes ago

51 - 200 employees
💼 Consulting
🏥 Healthcare
🏭 Manufacturing
Consulting • Healthcare • Manufacturing
v4c. ai is a Databricks-focused data and AI services firm that helps enterprises modernize data platforms and accelerate AI initiatives. They provide advisory, migration, MLOps, generative AI, and data governance services, plus prebuilt migration accelerators and production-ready ML pipelines to reduce time-to-value. v4c. ai serves regulated and data-intensive industries (financial services, retail, manufacturing, healthcare) and emphasizes Databricks implementation, scalable model deployment, and long-term operational support.
• 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: ability to read a pipeline, reason about a transformation, and write SQL to verify it • Expert-level SQL • Experience with Medallion architecture, Delta Lake, and ELT-based data platforms • Experience building automated suites that run in CI and gate deployment • Demonstrable hands-on experience working on Databricks or similar platforms • Healthcare or life sciences experience preferred but not required • Existing Databricks certification(s) • Hands-on experience with Unity Catalog, Lakeflow pipelines, or Databricks Asset Bundles • Experience with Azure DevOps pipelines, or equivalent CI tooling (GitHub Actions, GitLab CI) • Familiarity with contract-based data validation standards such as ODCS • Experience using LLM agents or MCP-connected tooling to run validations, triage failures, or draft defect reports • Consulting or client-facing background
• Pay Rate: $70 – $80 per hour (1099 independent contractor) • Contract engagement as a 1099 independent contractor • Open to contractors anywhere in the United States
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