Job VC
Senior QA in Data Engineering
We are seeking a QA Engineer to own end-to-end quality assurance across our client data and reporting platform. Healthcare domain.
Responsibilities:
Review and interpret requirements from multiple sources: Jira stories, Confluence documentation, BRDs, email threads, and stakeholder conversations
Translate requirements into well-structured test cases covering happy paths, edge cases, and negative scenarios
Participate in sprint planning and refinement sessions to flag testability concerns and ambiguous acceptance criteria early
Perform data-layer validation against SQL Managed Instance in Azure: verify pipeline outputs, staging tables, transformation logic, and aggregations
Perform presentation-layer validation in Power BI: verify measures, visuals, filters, slicers, and report behavior against expected data
Execute UAT-level testing in a staging environment that mirrors production data and report structure
Validate ADF (Azure Data Factory) pipeline runs: confirm correct data ingestion, transformation, and load behavior, including error and retry scenarios
Coordinate with developers and flag regressions before UAT sign-off
Log, triage, and track defects in Jira with clear reproduction steps, expected vs. actual results, and severity ratings
Partner with developers and analysts to investigate root causes and validate fixes
Produce QA summary reports for sprint reviews and release approvals
Qualifications Required:
5+ years in a QA or data validation role, ideally within a BI, analytics, or data engineering context
Proficiency in SQL: comfortable writing complex queries to validate data in relational databases (Azure SQL / SQL Managed Instance experience is a plus)
Familiarity with ETL or data pipeline concepts
Experience working in agile/scrum teams using Jira and Confluence
English: Upper intermediate
Nice to Have
Experience with test automation for data pipelines
Hands-on experience testing Power BI reports or equivalent BI tools (Tableau, Looker, SSRS)
Familiarity with Azure DevOps CI/CD pipelines and integrating automated tests into deployment workflows
Experience testing ERP-adjacent data or CRM integrations
Scripting ability in Python for test harness development
We offer:
• Long-term contract
• 100% Remote position