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Vertage

Senior GCP Data Engineer

Vertage
United States $75 - $80/hr Full time Posted 13d ago
Senior Bigquery Cloud Data Engineering Data Engineer Data Engineering Data Pipeline Data Platform Data Processing GCP Google Cloud Dataflow Google Pub/sub Programming Languages SQL
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Job Description

The Senior GCP Data Engineer role focuses on designing, building, and optimizing scalable data pipelines on Google Cloud Platform, using GCP-native services while maintaining governance, security, and performance.

Key Responsibilities

  • Design, build, and optimize scalable data pipelines within a GCP environment
  • Develop solutions using GCP-native technologies including BigQuery, Dataflow, and Pub/Sub
  • Ensure end-to-end data governance, security, and optimal performance across the platform
  • Troubleshoot complex issues across the data platform and related microservices
  • Monitor and optimize cost and compute resources for GCP-based processing

Technology Focus

Work includes Google Cloud Platform (GCP) and services such as BigQuery, Dataflow, and Pub/Sub. The role also involves supporting tools and practices across the stack, including DataProc, SQL, Java, Python, and approaches aligned with Service-Oriented Architecture (SOA) and microservices.

Additional ecosystem and engineering technologies listed include PostgreSQL, MySQL, NoSQL databases, columnar databases, data governance frameworks, data encryption, data masking techniques, CI/CD pipelines, and Infrastructure as Code (IaC) using Terraform. Automation and delivery tooling includes Tekton.

Qualifications

  • Bachelor’s degree in Computer Science, Information Technology, Information Systems, Data Analytics, or a related field, or an equivalent combination of education and experience
  • 7 years of experience in Data Engineering or Software Engineering
  • At least 2 years hands-on experience building and deploying cloud-based data platforms with GCP

Preferred Skills

  • Experience with automation frameworks
  • Interest in data innovation and continuous learning

Location and Employment Details

  • Location: United States (hybrid)
  • Schedule: 4 days per week onsite
  • Language: English (professional working proficiency)

Compensation

USD 75 - 80 per hour

Role Summary

The position supports the development and ongoing maintenance of an Enterprise Data Platform. Responsibilities include designing, building, and optimizing scalable data pipelines in GCP, applying GCP-native technologies such as BigQuery, Dataflow, and Pub/Sub, and maintaining governance, security, and performance across the platform.

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