Sr. Software Quality Automation Engineer
Core
Senior QA Engineer owning end-to-end data quality, test strategy, and automation architecture for ETL/ELT pipelines in a biopharma context, leveraging AI agents for co-pilot development.
Role type
Senior IC Software Quality Automation Engineer (Data-Centric)
Builds
Production data pipelines, automated reconciliation suites, performance test plans, and data quality frameworks.
Domain
Biopharma / Life Sciences / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Expert SQL, Python (pandas/PySpark), Test Strategy Design, Data Reconciliation, Performance Testing, BDD, AI-Augmented Testing
Preferred skills
Cloud Data Warehousing, Pipeline Orchestration, Healthcare Domain Knowledge
Technologies
Snowflake, PostgreSQL, AWS, Playwright, JMeter, Airflow, dbt, Great Expectations
Responsibilities
Own test strategy and automation architecture focusing on data quality; Build and maintain robust Python-based test frameworks and BDD feature suites; Design and govern JMeter performance test plans for application and data layers; Write complex SQL to validate business logic independently of pipeline code; Design and maintain reusable test data including synthetic and masked production-like datasets; Validate orchestration behaviour end-to-end including dependency ordering and failure alerting; Define, automate, and report on data quality rules and SLAs; Mentor junior QA engineers and champion quality best practices.
Seniority
Senior, hands-on IC
