Data Engineer – PSQA

Join Our Team as a Data Engineer – PSQA in Foster City, CA!

Are you passionate about transforming complex data into actionable insights that drive quality and excellence? We’re seeking a talented Data Engineer to play a pivotal role in enhancing the PSQA (Product Software Quality Assurance) processes through innovative data solutions. This onsite position offers an exciting opportunity to collaborate with cross-functional teams, develop robust dashboards, and deliver impactful insights in a dynamic, fast-paced environment.

What You’ll Do:

• Design, build, and maintain insightful dashboards and scorecards to monitor PSQA release and quality metrics.
• Query, aggregate, and transform release and version data utilizing SQL and Python.
• Develop and optimize ETL pipelines to process complex quality and release data from various components.
• Model release- and version-based data to facilitate long-term tracking and trend analysis.
• Conduct exploratory data analysis to uncover insights that inform quality decisions.
• Collaborate effectively with PSQA and other stakeholders to translate requirements into tangible dashboards and reports.
• Take ownership of data deliverables, ensuring timely resolution of issues and ongoing accuracy.
• Document data models, pipeline workflows, and dashboard specifications for maintainability and future scalability.

Required Skills:

• Strong SQL expertise for data querying, aggregation, and modeling.
• Proficiency in Python, especially with Pandas or PySpark, for data transformation and ETL tasks.
• Experience building dashboards with BI tools such as Tableau, Power BI, or Amazon QuickSight.
• Ability to model release/version-based data for longitudinal analysis.
• Familiarity with basic data science concepts — statistics, exploratory data analysis, and notebook-based analysis.
• Knowledge of AWS services including S3, Athena, or Redshift.
• Experience with version control systems like Git.
• Excellent written and verbal communication skills for clear documentation and stakeholder engagement.

Nice to Have Skills:

• Experience with data pipeline scheduling tools like Airflow or similar workflows.
• Practical use of AI tools (such as ChatGPT, Copilot, or Cursor) to enhance productivity.
• Background in QA, release management, or software quality metrics to better understand the context.

Preferred Education & Experience:

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
• 3+ years of professional experience in data engineering, especially within software release or quality assurance environments.

Additional Requirements:

• This is an onsite role based in Foster City, CA, requiring 5 days in the office.
• Must be eligible to work in the U.S. (W2 only).
• No travel required.

If you’re ready to leverage your data skills to elevate software quality and make a tangible impact, we want to hear from you! Apply now to join a team dedicated to innovation and excellence in quality assurance.