Oak Tree Software
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with expertise in Google Cloud Platform (GCP) for a 6+ month remote contract, paying $45.00-$60.00/hr. Key skills include BigQuery, PySpark, Dataflow, and experience with Medallion Architecture and CI/CD practices.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
480
-
🗓️ - Date
July 11, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
-
📍 - Location detailed
Colorado, United States
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🧠 - Skills detailed
#Batch #Data Security #IAM (Identity and Access Management) #Agile #GCP (Google Cloud Platform) #Java #Google Cloud Storage #Scrum #Data Pipeline #SQL (Structured Query Language) #Security #Data Quality #Data Governance #Python #Storage #"ETL (Extract #Transform #Load)" #Data Storage #SQL Queries #Data Transformations #Cloud #Data Processing #Apache Airflow #Programming #Data Architecture #Data Engineering #Version Control #Airflow #Spark (Apache Spark) #PySpark #Scala #Dataflow #Clustering #GIT #BigQuery #Data Lake
Role description
Job Title: Data Engineer - GCP
Duration : 06 Months + (Possible extension)
Payrate: $45.00-$60.00/hr on w2.
Job Location: Denver, CO (100% Remote)
Schedule/Shift: Shift 1 (Mon-Fri)
Job Summary:
• We are seeking a highly skilled Data Engineer with deep expertise in Google Cloud Platform (GCP) and modern data architecture.
• The ideal candidate will have hands-on experience designing scalable data pipelines, implementing Medallion Architecture, and building robust enterprise-grade data solutions.
• This role requires strong technical proficiency in BigQuery, PySpark, Dataflow, and Airflow, along with a solid understanding of cloud data governance, performance optimization, and CI/CD practices.
Key Responsibilities:
• Design, develop, and maintain scalable batch and real-time data pipelines on GCP
• Implement and manage Medallion Architecture (Bronze, Silver, Gold layers) for data processing
• Build high-performance data transformations using Java
• Develop and optimize complex SQL queries for analytical workloads
• Work extensively with BigQuery for large-scale data processing and performance tuning
• Develop and deploy pipelines using Cloud Dataflow
• Orchestrate workflows using Cloud Composer (Apache Airflow)
• Manage data storage and lifecycle using Google Cloud Storage (GCS)
• Implement version control and CI/CD pipelines using Git-based tools
• Ensure data security, governance, and access control using GCP IAM
• Optimize data solutions for performance, scalability, reliability, and cost-efficiency
Required Skills & Experience:
• Strong hands-on experience with Google Cloud Platform (GCP)
• Expertise in BigQuery (partitioning, clustering, query optimization)
• Proven experience implementing Medallion Data Architecture
• Strong programming skills in Python and PySpark
• Advanced proficiency in SQL (complex joins, window functions, performance tuning)
• Hands-on experience with Cloud Dataflow
• Experience with Cloud Composer (Airflow) for orchestration
• Experience working with Google Cloud Storage (GCS)
• Knowledge of version control systems (Git) and CI/CD practices
• Strong understanding of GCP IAM and cloud security best practices
Preferred Qualifications:
• Experience working with large-scale enterprise data platforms
• Knowledge of data warehousing and data lake concepts
• Familiarity with real-time streaming frameworks
• Experience in data governance and data quality frameworks
• Exposure to Agile/Scrum methodologies
Job Title: Data Engineer - GCP
Duration : 06 Months + (Possible extension)
Payrate: $45.00-$60.00/hr on w2.
Job Location: Denver, CO (100% Remote)
Schedule/Shift: Shift 1 (Mon-Fri)
Job Summary:
• We are seeking a highly skilled Data Engineer with deep expertise in Google Cloud Platform (GCP) and modern data architecture.
• The ideal candidate will have hands-on experience designing scalable data pipelines, implementing Medallion Architecture, and building robust enterprise-grade data solutions.
• This role requires strong technical proficiency in BigQuery, PySpark, Dataflow, and Airflow, along with a solid understanding of cloud data governance, performance optimization, and CI/CD practices.
Key Responsibilities:
• Design, develop, and maintain scalable batch and real-time data pipelines on GCP
• Implement and manage Medallion Architecture (Bronze, Silver, Gold layers) for data processing
• Build high-performance data transformations using Java
• Develop and optimize complex SQL queries for analytical workloads
• Work extensively with BigQuery for large-scale data processing and performance tuning
• Develop and deploy pipelines using Cloud Dataflow
• Orchestrate workflows using Cloud Composer (Apache Airflow)
• Manage data storage and lifecycle using Google Cloud Storage (GCS)
• Implement version control and CI/CD pipelines using Git-based tools
• Ensure data security, governance, and access control using GCP IAM
• Optimize data solutions for performance, scalability, reliability, and cost-efficiency
Required Skills & Experience:
• Strong hands-on experience with Google Cloud Platform (GCP)
• Expertise in BigQuery (partitioning, clustering, query optimization)
• Proven experience implementing Medallion Data Architecture
• Strong programming skills in Python and PySpark
• Advanced proficiency in SQL (complex joins, window functions, performance tuning)
• Hands-on experience with Cloud Dataflow
• Experience with Cloud Composer (Airflow) for orchestration
• Experience working with Google Cloud Storage (GCS)
• Knowledge of version control systems (Git) and CI/CD practices
• Strong understanding of GCP IAM and cloud security best practices
Preferred Qualifications:
• Experience working with large-scale enterprise data platforms
• Knowledge of data warehousing and data lake concepts
• Familiarity with real-time streaming frameworks
• Experience in data governance and data quality frameworks
• Exposure to Agile/Scrum methodologies
