Data Scientist # San Jose CA # Onsite
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist position in San Jose, CA, for a contract length with pay up to $55.00 per hour. Requires 8 years of GCP, BigQuery, and ETL experience, plus 6 years in Python. On-site work is mandatory.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
440
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🗓️ - Date discovered
August 30, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
San Jose, CA 95112
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🧠 - Skills detailed
#Python #SQL (Structured Query Language) #Scripting #"ETL (Extract #Transform #Load)" #Data Modeling #Data Science #Cloud #Data Pipeline #Airflow #Deployment #Scala #Data Engineering #GitHub #Alation #GCP (Google Cloud Platform) #Monitoring #Dataflow #AI (Artificial Intelligence) #Storage #BigQuery
Role description
Job Description
Key Responsibilities / Activities:
Build and maintain data pipelines and ETL processes on GCP.
Support the deployment and adoption of AI and data tools within client organizations.
Work closely with clients to understand requirements and provide technical guidance.
Handle tickets, escalations, and issue resolution across environments.
Use GitHub and CI/CD pipelines to ensure quality and consistency in delivery.
Monitor and optimize data operations to improve performance and reliability.
Technical Experience:
Advanced SQL for queries, transformations, and performance optimization.
Hands-on experience with GCP services (BigQuery, Dataflow, Cloud Storage, Pub/Sub, Composer/Airflow).
Solid background in Data Engineering (pipelines, ETL/ELT, data modeling).
Proficiency in Python or similar scripting languages.
Knowledge of GitHub and CI/CD workflows.
Experience with troubleshooting, monitoring, and escalation handling.
Job Type: Contract
Pay: Up to $55.00 per hour
Expected hours: 40 per week
Experience:
Google Cloud Platform: 8 years (Required)
BigQuery: 8 years (Required)
ETL: 8 years (Required)
Python: 6 years (Required)
Location:
San Jose, CA 95112 (Required)
Work Location: In person
Job Description
Key Responsibilities / Activities:
Build and maintain data pipelines and ETL processes on GCP.
Support the deployment and adoption of AI and data tools within client organizations.
Work closely with clients to understand requirements and provide technical guidance.
Handle tickets, escalations, and issue resolution across environments.
Use GitHub and CI/CD pipelines to ensure quality and consistency in delivery.
Monitor and optimize data operations to improve performance and reliability.
Technical Experience:
Advanced SQL for queries, transformations, and performance optimization.
Hands-on experience with GCP services (BigQuery, Dataflow, Cloud Storage, Pub/Sub, Composer/Airflow).
Solid background in Data Engineering (pipelines, ETL/ELT, data modeling).
Proficiency in Python or similar scripting languages.
Knowledge of GitHub and CI/CD workflows.
Experience with troubleshooting, monitoring, and escalation handling.
Job Type: Contract
Pay: Up to $55.00 per hour
Expected hours: 40 per week
Experience:
Google Cloud Platform: 8 years (Required)
BigQuery: 8 years (Required)
ETL: 8 years (Required)
Python: 6 years (Required)
Location:
San Jose, CA 95112 (Required)
Work Location: In person
