BayOne Solutions
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Engineer with 8+ years of experience, focusing on GCP, BigQuery, Dataproc, and SQL. Contract length is unspecified, with a pay rate of $60-65/hr on W2, based in San Francisco/Pleasanton, CA.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
520
-
🗓️ - Date
August 14, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
San Francisco Bay Area
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Data Engineering #GCP (Google Cloud Platform) #Cloud #Leadership #Scala #Data Pipeline #GIT #dbt (data build tool) #BigQuery
Role description
Lead Data Engineer
Location: San Francisco, CA/Pleasanton, CA(Onsite)
Interview Process: Zoom
Rate: $60 -65/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/Pleasanton, CA(Onsite)
Interview Process: Zoom
Rate: $60 -65/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.
