QA/Test Engineer

🚀 Hiring: QA/Test Engineer (Data Pipelines / ETL)
📍 Location: Seattle, WA (Hybrid – 2–3 days onsite)
🕒 Experience: 4–6 Years
📄 Employment Type: W2 / 1099
🇺🇸 Work Authorization: Only USC (U.S. Citizens)
👉 Client Preference: Local candidates to Seattle, WA
🔎 Role Summary
We are looking for a skilled QA/Test Engineer to build and execute comprehensive test strategies for data ingestion and ETL pipelines. This role ensures high data quality standards (98–99% pass rate) before production deployment and integrates automated testing into CI/CD pipelines.
🛠 Key Responsibilities
• Design reusable test frameworks (unit, integration, end-to-end) for data pipelines
• Develop and maintain automated test suites within CI/CD pipelines
• Validate end-to-end data flow (raw → curated → consumption layers)
• Ensure data quality checks (completeness, schema, freshness, accuracy)
• Perform staging validations before production releases
• Track test coverage, defects, and pipeline validation metrics
• Collaborate with Data & Cloud Engineers on test cases and acceptance criteria
• Support performance and load testing for large-scale data pipelines
• Create detailed test plans, artifacts, and validation reports
✅ Required Skills
• 4–6 years of QA/Test Engineering experience (Data/ETL focus)
• Strong Python skills for automation & data validation
• Experience with testing frameworks (Great Expectations, dbt, pytest, etc.)
• Hands-on AWS experience (Glue, Spark, S3, Athena, Redshift)
• Strong SQL skills for data validation and reconciliation
• Experience with CI/CD tools (GitHub Actions, Jenkins, CodePipeline)
• Solid understanding of data quality concepts
• Experience in Agile/Scrum environments
⭐ Preferred Skills
• Performance/load testing for data pipelines
• API/contract testing experience
• Exposure to data observability tools (Monte Carlo, Datafold, etc.)