Motion Recruitment
Data Engineer / ETL, Dashboards / Contract / Onsite / Foster City, CA
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer/ETL position onsite in Foster City, CA, with a 6-month contract. Key skills include SQL, Python, dashboard creation, and AWS familiarity. Experience in QA or release management is a plus.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 5, 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
#Spark (Apache Spark) #SQL (Structured Query Language) #Airflow #Data Analysis #Data Science #AI (Artificial Intelligence) #BI (Business Intelligence) #ChatGPT #Data Engineering #PySpark #Data Modeling #Version Control #AWS (Amazon Web Services) #Athena #Trend Analysis #Redshift #Statistics #GIT #Microsoft Power BI #Pandas #Data Pipeline #Python #S3 (Amazon Simple Storage Service) #"ETL (Extract #Transform #Load)" #Tableau
Role description
Our client, a leader in autonomous vehicles, is hiring for a contract Data Engineer. This is an onsite position M-F in Foster City, CA.
This is a fantastic opportunity for a junior to mid-level Data Engineer / Analytics Engineer. You will be building pipelines, dashboards, and executing deep analysis for in-vehicle software and robotics platforms.
Contract Duration: 6 Months to Start, Great Chance to Extend Based on Performance
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
Our client, a leader in autonomous vehicles, is hiring for a contract Data Engineer. This is an onsite position M-F in Foster City, CA.
This is a fantastic opportunity for a junior to mid-level Data Engineer / Analytics Engineer. You will be building pipelines, dashboards, and executing deep analysis for in-vehicle software and robotics platforms.
Contract Duration: 6 Months to Start, Great Chance to Extend Based on Performance
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
