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Sr. Quality Assurance Engineer

Job in Englewood, Arapahoe County, Colorado, 80151, USA
Listing for: Redwood Trust, Inc.
Full Time position
Listed on 2026-07-14
Job specializations:
  • IT/Tech
    Data Analyst, IT QA Tester / Automation
  • Quality Assurance - QA/QC
    Data Analyst, IT QA Tester / Automation
Salary/Wage Range or Industry Benchmark: 100000 - 120000 USD Yearly USD 100000.00 120000.00 YEAR
Job Description & How to Apply Below

Sr. Quality Assurance Engineer

* Regular Full-Time Associate Englewood, CO, US

4 days ago Requisition

$ To $ Annually

Position Summary

The QA Engineer is responsible for quality assurance efforts across enterprise data platform (EDP) reporting and application initiatives. This role requires strong analytical thinking to evaluate complex data workflows, ETL processes, integrations, and reporting solutions to ensure high-quality outcomes.

The candidate will work closely with developers, data engineers, and business stakeholders to ensure data integrity, system reliability, and overall product quality. This role is accountable for validating data throughout the entire data lifecycle—from source systems through ETL processes and Microsoft Fabric to reporting applications such as Power BI—while ensuring readiness for production releases. The position requires deep expertise in SQL, data platforms, system integrations, and modern reporting technologies.

Responsibilities

As a QA Engineer, you will:

  • Apply advanced analytical thinking and logical reasoning to assess complex data systems, identify root causes, and support solutions
  • Execute quality assurance activities for enterprise data platforms, ETL processes, reporting solutions, and system integrations, ensuring data accuracy, consistency, and integrity across systems
  • Perform end-to-end data validation from source systems through ETL processes to downstream reporting applications
  • Analyze and validate data across multiple database systems, including Oracle SQL Developer, MySQL, and Microsoft SQL Server
  • Validate ETL/ELT pipelines, data transformations, and business rules within Microsoft Fabric using SQL and Py Spark
  • Review and validate API integrations, including request/response structures, status codes, and protocols
  • Analyze and validate JSON and XML data structures across systems and integrations
  • Validate Power BI reports and dashboards by verifying calculations, filters, drill-through functionality, visualizations, KPIs, security, and user experience
  • Design and execute validation strategies for large-scale data processing and integrations
  • Collaborate with development teams and data engineers to ensure alignment with mortgage processes and KPIs
  • Communicate testing progress, risks, and results clearly to stakeholders and leadership
  • Support and guide QA processes, including risk identification and mitigation strategies
  • Participate in agile ceremonies and help drive QA best practices across teams
  • Manage priorities, timelines, and deliverables in a fast-paced, data-driven environment
  • Support and contribute to test automation efforts using tools such as Playwright, Python, and API tools (Postman)
Characteristics

You are a strong fit for this role if you have:

  • 5+ years of experience in Quality Assurance, with strong focus on data platforms or enterprise systems
  • Strong analytical and problem-solving skills, with the ability to evaluate complex data and system behaviors
  • Strong understanding of enterprise data warehousing concepts, ETL/ELT processes, Microsoft Fabric architecture, and data integration principles
  • Advanced SQL skills with experience writing complex queries for data analysis, reconciliation, troubleshooting, and validation across Oracle, SQL Server, MySQL, or similar platforms
  • Strong understanding of relational databases, data modeling, joins, indexing, and query optimization concepts
  • Experience testing reporting solutions, including Microsoft Power BI, with the ability to validate data accuracy, business logic, calculations, filters, and visualizations
  • Strong experience analyzing and validating JSON and XML data formats
  • Experience validating APIs using tools such as Postman, including request/response validation, authentication, and status code verification
  • Experience with test automation frameworks such as Playwright or Selenium and scripting using Python or similar languages
  • Experience leveraging AI-assisted development and testing tools (ChatGPT, Git Hub Copilot, Microsoft Copilot) to improve productivity, test design, troubleshooting, and code generation
  • Understanding of mortgage industry processes and key performance indicators (KPIs)
  • Excellent communication…
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