RSN GINFO SOLUTIONS
GCP Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GCP Engineer in Hartford, CT, with a contract length of unspecified duration. The pay rate is also unspecified. Key skills include GCP services, Terraform, CI/CD tools, and ETL/ELT workloads. Industry experience in data engineering is required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
June 12, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Hartford, CT
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🧠 - Skills detailed
#Deployment #"ETL (Extract #Transform #Load)" #Data Pipeline #GitLab #GCP (Google Cloud Platform) #Logging #Security #Batch #Dataflow #Jenkins #Datasets #IAM (Identity and Access Management) #Cloud #Storage #BigQuery #Monitoring #Terraform #GitHub #Data Engineering
Role description
Role: GCP Data Engineer
Location: Hartford, CT (Onsite)
Skills:
• Deploy and manage GCP services used by the Data Engineering team.
• Provision and maintain cloud infrastructure using
• Terraform
• or other Infrastructure-as-Code tools.
• Support GCP data services such as
• BigQuery, Cloud Storage, Pub/Sub, Dataflow, Dataproc, and Cloud Composer
• .
• Create and manage
• GCP projects, datasets, buckets, service accounts, IAM roles, and permissions
• .
• Build and maintain CI/CD pipelines using
• Cloud Build, GitHub Actions, GitLab CI, Jenkins
• , or similar tools.
• Support deployment of batch and streaming data pipelines.
• Monitor data jobs, cloud resources, logs, alerts, and system health.
• Troubleshoot pipeline failures, permission issues, deployment failures, and performance problems.
• Implement cloud security best practices including least privilege access, secrets management, encryption, and audit logging.
• Work with Data Engineers to support ETL/ELT workloads and data pipeline deployments.
• Assist with BigQuery cost optimization, storage optimization, and query performance monitoring.
Role: GCP Data Engineer
Location: Hartford, CT (Onsite)
Skills:
• Deploy and manage GCP services used by the Data Engineering team.
• Provision and maintain cloud infrastructure using
• Terraform
• or other Infrastructure-as-Code tools.
• Support GCP data services such as
• BigQuery, Cloud Storage, Pub/Sub, Dataflow, Dataproc, and Cloud Composer
• .
• Create and manage
• GCP projects, datasets, buckets, service accounts, IAM roles, and permissions
• .
• Build and maintain CI/CD pipelines using
• Cloud Build, GitHub Actions, GitLab CI, Jenkins
• , or similar tools.
• Support deployment of batch and streaming data pipelines.
• Monitor data jobs, cloud resources, logs, alerts, and system health.
• Troubleshoot pipeline failures, permission issues, deployment failures, and performance problems.
• Implement cloud security best practices including least privilege access, secrets management, encryption, and audit logging.
• Work with Data Engineers to support ETL/ELT workloads and data pipeline deployments.
• Assist with BigQuery cost optimization, storage optimization, and query performance monitoring.
