

HYR Global Source Inc
GCP Data Engineer (Tech Lead) @ 100% Remote || W2 Only
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GCP Data Engineer (Tech Lead) with a 24+ month contract, 100% remote. Requires a Bachelor's in Computer Science or related field, 10+ years in data engineering, and expertise in GCP, ETL/ELT, Python, and SQL.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 11, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
United States
-
🧠 - Skills detailed
#GCP (Google Cloud Platform) #Leadership #Java #Strategy #Data Pipeline #SQL (Structured Query Language) #Data Quality #Python #Computer Science #Apache Beam #Storage #"ETL (Extract #Transform #Load)" #Cloud #Looker #Apache Airflow #Code Reviews #Data Engineering #Version Control #Data Warehouse #Airflow #Scala #GitHub #BigQuery
Role description
Role: GCP Data Engineer (Tech Lead)
Location: 100% Remote
Duration: 24+ Months
W2 Only...
Work Authorization: U.S. Citizens and Green Card Holders preferred, all valid work authorizations may apply
Education Requirement - Bachelor s Degree in: Computer Science, Information Technology, Or related field
Summary
Looking for a senior/principal-level GCP Data Engineer to lead design and development of scalable data pipelines and act as a technical lead for a data warehouse team. This role requires strong hands-on engineering along with leadership, mentorship, and strategic planning capabilities.
Key Responsibilities
• Design and build scalable data pipelines and ETL/ELT workflows on GCP
• Lead architecture decisions and enforce best practices for data engineering
• Ensure data quality, performance, and reliability across platforms
• Mentor junior engineers and conduct code reviews
• Collaborate with product owners on roadmap and strategy
Required Skills (Must-Have Keywords For Resume Search)
• Google Cloud Platform (GCP) BigQuery, Cloud Storage, Cloud Composer
• Apache Beam and Apache Airflow
• Python and SQL (strong hands-on coding)
• Data warehousing and ETL/ELT pipeline development
• GitHub or version control tools
• Experience in lead/principal or senior-level roles
Preferred Skills (Nice To Have)
• Java
• SnapLogic or similar ETL tools
• Experience with Dataplex, Looker Studio, gsutil
Ideal Candidate Profile
• 10+ years in data engineering with strong GCP ecosystem experience
• Proven experience leading teams or acting as a technical lead
• Strong problem-solving and decision-making skills
• Comfortable working in evolving environments and guiding strategy
• Experience mentoring and scaling engineering teams
Role: GCP Data Engineer (Tech Lead)
Location: 100% Remote
Duration: 24+ Months
W2 Only...
Work Authorization: U.S. Citizens and Green Card Holders preferred, all valid work authorizations may apply
Education Requirement - Bachelor s Degree in: Computer Science, Information Technology, Or related field
Summary
Looking for a senior/principal-level GCP Data Engineer to lead design and development of scalable data pipelines and act as a technical lead for a data warehouse team. This role requires strong hands-on engineering along with leadership, mentorship, and strategic planning capabilities.
Key Responsibilities
• Design and build scalable data pipelines and ETL/ELT workflows on GCP
• Lead architecture decisions and enforce best practices for data engineering
• Ensure data quality, performance, and reliability across platforms
• Mentor junior engineers and conduct code reviews
• Collaborate with product owners on roadmap and strategy
Required Skills (Must-Have Keywords For Resume Search)
• Google Cloud Platform (GCP) BigQuery, Cloud Storage, Cloud Composer
• Apache Beam and Apache Airflow
• Python and SQL (strong hands-on coding)
• Data warehousing and ETL/ELT pipeline development
• GitHub or version control tools
• Experience in lead/principal or senior-level roles
Preferred Skills (Nice To Have)
• Java
• SnapLogic or similar ETL tools
• Experience with Dataplex, Looker Studio, gsutil
Ideal Candidate Profile
• 10+ years in data engineering with strong GCP ecosystem experience
• Proven experience leading teams or acting as a technical lead
• Strong problem-solving and decision-making skills
• Comfortable working in evolving environments and guiding strategy
• Experience mentoring and scaling engineering teams






