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# Data Engineer - PSQA

- **Company:** Kforce Inc.
- **Location:** Foster City, CA, United States
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Amazon S3, Data Analysis, Software Quality, Extract Transform Load (ETL), Data Transformation, Cursor, Database Queries, Document-Oriented Databases, Python (Programming Language), Release Management, Power BI, SQL Databases, Tableau (Software), Git, Pandas, Pyspark, Data Analytics, GPT, Data Pipelines
- **Published:** September 21, 2026
- **Apply:** https://www.dice.com/job-detail/92ed98f5-0494-41ca-ac2d-12a8e1df1351

## About the Role

* Strong SQL skills for querying, aggregation, and data modeling
 * Python proficiency (Pandas/PySpark) for ETL and data transformation
 * Experience building dashboards with BI tools (QuickSight, Tableau, or Power BI)
 * Ability to model release/version-based data for longitudinal tracking
 * Basic data science skills - statistics, EDA, notebook-based analysis
 * Familiarity with AWS fundamentals (S3, Athena/Redshift)
 * Experience with Git for version control
 * Strong written and verbal communication skills

Nice to Have:

 * Experience with data pipeline scheduling (Airflow or similar)
 * Practical experience using AI tools (Copilot, Cursor, ChatGPT) to improve productivity
 * Prior exposure to QA, release management, or software quality metrics

## Description

Kforce has a client in Foster City, CA that is seeking a Data Engineer - PSQA., * Design, build, and maintain dashboards and scorecards for PSQA release and quality metrics

 * Query, aggregate, and transform release/version data using SQL and Python
 * Develop ETL pipelines to process and simplify quality and release data from multiple components
 * Model release- and version-based data to enable tracking and trend analysis over time
 * Perform exploratory data analysis to surface insights and support data-driven quality decisions
 * Collaborate with PSQA and cross-functional stakeholders to translate quality and release needs into actionable dashboards
 * Take ownership of assigned data deliverables, driving issues to resolution independently
 * Document data models, pipeline logic, and dashboard definitions for maintainability


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