Senior QA Engineer — Data Platform & BI Validation

BlueSky Resource Solutions; Englewood (CO); On-site; USD 110,000 - 140,000; Full time

Job summary

BlueSky Resource Solutions is seeking a QA Engineer to ensure data platform quality across ETL, integration, and reporting initiatives.

You will validate data from sources through ETL and Microsoft Fabric to Power BI dashboards, collaborating with developers, data engineers, and business stakeholders.

The role demands deep SQL, data platform expertise, and experience with API testing, PySpark, and test automation in a fast-paced environment.

Qualifications

• 5+ years in Quality Assurance, focused on data platforms or enterprise systems.
• Strong SQL skills and ability to write complex queries for data analysis and validation.
• Experience validating data across ETL/ELT pipelines and reporting tools (Power BI).
• Experience testing APIs and data formats (JSON/XML) across systems.
• Familiarity with Playwright or Selenium and scripting in Python.

Responsibilities

• Apply analytical thinking to assess complex data systems, identify root causes, and support solutions.
• Execute QA activities for enterprise data platforms, ETL processes, reporting solutions, and system integrations.
• Perform end-to-end data validation from sources through ETL processes to reporting applications.
• Validate Power BI reports and dashboards, ensuring correctness of calculations and visualizations.
• Collaborate with developers and data engineers to ensure alignment with mortgage processes and KPIs.
• Assist in test automation efforts and contribute to QA best practices across teams.

Skills

Quality Assurance

Data Warehousing

SQL Proficiency

Data Validation

Agile Methodologies

Stakeholder Communication

Tools

Playwright

Selenium

Postman

Python

PySpark

Microsoft Fabric

Job description

BlueSky Resource Solutions is seeking a QA Engineer to ensure data platform quality across ETL, integration, and reporting initiatives.

You will validate data from sources through ETL and Microsoft Fabric to Power BI dashboards, collaborating with developers, data engineers, and business stakeholders.

The role demands deep SQL, data platform expertise, and experience with API testing, PySpark, and test automation in a fast-paced environment.