GCP Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GCP Data Engineer based in Dallas, TX or Tampa, FL, requiring 8+ years of experience, including 2+ years in GCP. Key skills include BigQuery, Dataflow, SQL, Python/Scala, and ETL/ELT pipeline development.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 4, 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
Dallas, TX
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🧠 - Skills detailed
#Cloud #"ETL (Extract #Transform #Load)" #GIT #IAM (Identity and Access Management) #Scala #Storage #DevOps #Migration #BigQuery #Dataflow #Python #SQL (Structured Query Language) #Data Engineering #Data Processing #Teradata #GCP (Google Cloud Platform)
Role description
Role : GCP data Engineer
Location : Dallas, TX / Tampa, FL
All visa except opt, cpt
8+ years exp
Required Skills & Experience
• 8+ years of experience as a Data Engineer with 2+ years in GCP.
• Strong hands-on expertise with BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, Cloud Composer, IAM.
• Proven experience in Teradata to GCP migration projects.
• Proficiency in SQL (Teradata & BigQuery dialects), Python/Scala for data processing.
• Experience with ETL/ELT pipeline development and orchestration.
• Strong understanding of data warehousing concepts, performance tuning, and query optimization.
• Familiarity with CI/CD, DevOps practices, and Git-based workflows.
Role : GCP data Engineer
Location : Dallas, TX / Tampa, FL
All visa except opt, cpt
8+ years exp
Required Skills & Experience
• 8+ years of experience as a Data Engineer with 2+ years in GCP.
• Strong hands-on expertise with BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, Cloud Composer, IAM.
• Proven experience in Teradata to GCP migration projects.
• Proficiency in SQL (Teradata & BigQuery dialects), Python/Scala for data processing.
• Experience with ETL/ELT pipeline development and orchestration.
• Strong understanding of data warehousing concepts, performance tuning, and query optimization.
• Familiarity with CI/CD, DevOps practices, and Git-based workflows.
