Ursus, Inc.
Data Engineer – PSQA
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer – PSQA in Foster City, CA, for 6 months at $30 - $38/hr. Key skills include strong SQL, Python (Pandas/PySpark), BI tools (QuickSight/Tableau/Power BI), and basic data science.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
304
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🗓️ - Date
August 4, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Foster City, CA
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🧠 - Skills detailed
#Version Control #Data Science #Data Analysis #Airflow #Microsoft Power BI #Data Engineering #Pandas #PySpark #Base #"ETL (Extract #Transform #Load)" #GIT #Trend Analysis #Redshift #Tableau #AWS (Amazon Web Services) #Python #Data Pipeline #Data Modeling #S3 (Amazon Simple Storage Service) #AI (Artificial Intelligence) #BI (Business Intelligence) #Spark (Apache Spark) #Statistics #Athena #ChatGPT #SQL (Structured Query Language)
Role description
JOB TITLE: Data Engineer – PSQA
LOCATION: Foster City, CA (Onsite)
PAY RANGE: $30 - $38/hr.
DURATION: 6 Months
TOP 3 SKILLS:
• Strong SQL skills for querying, aggregation, and data modeling, with Python proficiency (Pandas/PySpark) for ETL and data transformation.
• Experience building dashboards with BI tools (QuickSight, Tableau, or Power BI), and the 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), and experience with Git for version control.
Responsibilities:
• 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.
Required Skills:
• 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.
BENEFITS SUMMARY: Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate or annual salary only, unless otherwise stated. In addition to base compensation, full-time roles are eligible for Medical, Dental, Vision, Commuter and 401K benefits with company matching.
IND123
JOB TITLE: Data Engineer – PSQA
LOCATION: Foster City, CA (Onsite)
PAY RANGE: $30 - $38/hr.
DURATION: 6 Months
TOP 3 SKILLS:
• Strong SQL skills for querying, aggregation, and data modeling, with Python proficiency (Pandas/PySpark) for ETL and data transformation.
• Experience building dashboards with BI tools (QuickSight, Tableau, or Power BI), and the 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), and experience with Git for version control.
Responsibilities:
• 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.
Required Skills:
• 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.
BENEFITS SUMMARY: Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate or annual salary only, unless otherwise stated. In addition to base compensation, full-time roles are eligible for Medical, Dental, Vision, Commuter and 401K benefits with company matching.
IND123
