Data Engineer – PSQA Job Foster City area,California USA,IT/Tech

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 Quick Sight.
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.

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