Data Engineer – GCP
Job Title: Data Engineer – GCP
Location: Denver, CO (Remote)
Employment Type: Contract
We are seeking a highly skilled Data Engineer with strong Google Cloud Platform (GCP) expertise to design and build scalable modern data platforms. The ideal candidate will have hands-on experience implementing Medallion Architecture, building enterprise-grade data pipelines, and optimizing analytical workloads using BigQuery and PySpark.
This role requires deep technical knowledge in BigQuery, Dataflow, Cloud Composer (Airflow), PySpark, and Python, along with strong experience in data governance, CI/CD, and performance optimization.
Key Responsibilities
• Design, develop, and maintain scalable batch and real-time data pipelines on GCP
• Implement Medallion Architecture (Bronze, Silver, Gold layers) for data processing
• Build high-performance data transformations using Python and PySpark
• 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
Pay: $65.00 - $70.00 per hour
Work Location: Remote
Location: Denver, CO (Remote)
Employment Type: Contract
We are seeking a highly skilled Data Engineer with strong Google Cloud Platform (GCP) expertise to design and build scalable modern data platforms. The ideal candidate will have hands-on experience implementing Medallion Architecture, building enterprise-grade data pipelines, and optimizing analytical workloads using BigQuery and PySpark.
This role requires deep technical knowledge in BigQuery, Dataflow, Cloud Composer (Airflow), PySpark, and Python, along with strong experience in data governance, CI/CD, and performance optimization.
Key Responsibilities
• Design, develop, and maintain scalable batch and real-time data pipelines on GCP
• Implement Medallion Architecture (Bronze, Silver, Gold layers) for data processing
• Build high-performance data transformations using Python and PySpark
• 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
Pay: $65.00 - $70.00 per hour
Work Location: Remote