Senior Quality Assurance Engineer

Responsibilities

• Design and lead comprehensive test strategies for complex data pipeline and platform quality challenges
• Build scalable, maintainable test automation frameworks for distributed data systems
• Establish and own data quality gates within CI/CD pipelines
• Partner with Data and Platform Engineers to define quality bars for new features
• Create instrumentation and metrics to measure quality in production
• Mentor engineers on testing best practices specific to data systems
• Influence engineering decisions to improve product quality and reduce defect escape rates

Requirements

• 7+ years of QA engineering experience testing data pipelines or distributed systems
• Proven ability to design and execute test plans for complex, ambiguous problem areas
• Hands-on experience building extensible test automation frameworks from scratch
• Working knowledge of ETL/ELT patterns, pipeline orchestration, and schema validation
• Experience establishing quality gates in CI/CD pipelines (Jenkins, GitHub Actions, etc.)
• Strong communication skills to convey testing strategy to technical and non-technical stakeholders

Preferred Qualifications

• Familiarity with Apache Airflow, Apache Spark, or Databricks
• Experience testing AdTech systems (DSP, SSP, ACR)
• Knowledge of cloud infrastructure testing on AWS, GCP, or Azure
• Experience with data observability tools like Great Expectations or Monte Carlo
• Proficiency in Python or other scripting languages

Benefits

• 100% employer-paid medical, dental, and vision coverage
• Company-paid life, AD&D, STD, and LTD insurance
• 401(k) with company match
• Flexible Time Off (FTO)
• Paid parental leave