Senior GCP Data Engineer

Vertage offers a hybrid role based in the United States with 4 days per week onsite, focused on building and operating an Enterprise Data Platform on Google Cloud Platform (GCP). This position emphasizes practical ownership of scalable data pipelines, cost-aware operations, and strong governance so your work can support reliable, secure analytics at scale.

What you’ll do

• Design, build, and optimize scalable data pipelines across a GCP environment
• Develop and integrate solutions using GCP native technologies such as BigQuery, Dataflow, and Pub/Sub
• Ensure data governance, security, and optimal performance across the data platform
• Troubleshoot complex issues spanning the data platform and microservices
• Monitor and optimize cost and compute resources for workloads running on GCP technologies

Core technologies you’ll work with

• Google Cloud Platform (GCP), including BigQuery, Dataflow, and Pub/Sub (also listed: DataProc)
• SQL, Java, and Python
• Service-Oriented Architecture (SOA) and microservices
• Databases and data stores such as PostgreSQL, MySQL, NoSQL, and columnar databases
• Data governance frameworks, data encryption, and data masking techniques
• CI/CD pipelines and Infrastructure as Code (IaC) with Terraform (plus Tekton and automation frameworks)

What you’ll bring

• 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 of hands-on experience building and deploying cloud-based data platforms with GCP
• English with professional working proficiency

Nice-to-have

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

Compensation: USD 75 to 80 per hour.

Work setup: Hybrid in the United States with 4 days per week onsite.