Hiring: Senior SQA Engineer – Data & AI Platforms Company: Bio-Techne Location: San Jose, CA Job Posted Time: 2026-09-17 10:49:09 Employment Type: Internship Target Skills & Keywords : AWS, Agile, Azure, CI/CD, Data Pipeline, Databricks, ELT, ETL, Flask, GCP, GitHub, GitLab, Jenkins, LLM, Parquet, Python, R, React, SQL, Shell, Spark About the job Experience: •Operational familiarity with off the shelf test automation tools (e.g. TestComplete, Ranorex, Squish) •Strong written skills necessary to document software and test procedures •Demonstrated capacity to work within an agile test development environment •Demonstrated capacity to act independently on routine assignments or projects. •Demonstrated capacity to plan, organize and multi-task to complete assignments in an efficient manner. Required Skills: •Software quality is a critical component of R&D Systems’s transformation toward a digital laboratory and AI-driven data platform. This role designs and implements advanced test automation solutions across instrument software, data pipelines, analytics platforms, and AI-enabled applications. •The Sr. Test Automation Engineer will work across modern lab ecosystems including instrument software, ELN platforms, LIMS systems, cloud data platforms (e.g., Databricks), and AI/analytics applications to ensure data integrity, traceability, and system reliability. •This role partners with software, data engineering, IT, and scientific teams to validate end-to-end workflows spanning instrument → data pipelines → cloud analytics → AI/ML use cases, ensuring compliance with Quality System and regulatory requirements. •Design and implement AI-assisted test generation and validation (e.g., leveraging LLMs for test case creation, coverage analysis) •Validate AI/ML outputs, including analytics dashboards, predictions, and query-based insights •Develop data validation frameworks to ensure correctness of AI-ready datasets (FAIR principles, schema validation) •Develop automated validation for data pipelines (ETL/ELT) including ingestion, transformation, and storage •Validate structured data across systems such as Databricks, cloud data lakes, ELNs, and LIMS Qualifications: •Position requires a Bachelor’s degree in Computer Science or equivalent with a minimum of 6+ years test automation experience or relevant experience and training. Compensation: •$100,100 - $164,450 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!