BayOne Solutions
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Engineer in San Francisco, CA, with a contract length of unspecified duration at a pay rate of $67/hr on W2. Requires 8+ years of data engineering experience, strong GCP skills, and expertise in BigQuery, SQL, and dbt.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
536
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🗓️ - Date
July 29, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
San Francisco, CA
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🧠 - Skills detailed
#Leadership #Scala #GCP (Google Cloud Platform) #dbt (data build tool) #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Data Engineering #BigQuery #Data Pipeline #GIT #Cloud
Role description
Lead Data Engineer
Location: San Francisco, CA
Interview Process: Zoom
Rate: $67/hr on W2
Key Skills & Requirements:
• 8+ years of experience in Data Engineering with technical leadership responsibilities.
• Strong hands-on experience with Google Cloud Platform (GCP).
• Expert-level experience with:
• BigQuery
• Dataproc
• SQL
• dbt (Data Build Tool)
• Strong understanding of modern ETL/ELT architecture and cloud-native data engineering.
• Experience designing scalable data models, including dimensional and normalized data models.
• Experience building enterprise-grade cloud data pipelines.
• Hands-on experience with Git, CI/CD pipelines, and software engineering best practices.
• Excellent analytical, troubleshooting, communication, and collaboration skills.
Lead Data Engineer
Location: San Francisco, CA
Interview Process: Zoom
Rate: $67/hr on W2
Key Skills & Requirements:
• 8+ years of experience in Data Engineering with technical leadership responsibilities.
• Strong hands-on experience with Google Cloud Platform (GCP).
• Expert-level experience with:
• BigQuery
• Dataproc
• SQL
• dbt (Data Build Tool)
• Strong understanding of modern ETL/ELT architecture and cloud-native data engineering.
• Experience designing scalable data models, including dimensional and normalized data models.
• Experience building enterprise-grade cloud data pipelines.
• Hands-on experience with Git, CI/CD pipelines, and software engineering best practices.
• Excellent analytical, troubleshooting, communication, and collaboration skills.
