GCP Data Engineer

Work Schedule: Full-time, US business hours

This is a hands-on data engineering role in Google Cloud. BigQuery and GCP services are your daily tools, not something you've touched once. This is not a backend or full-stack development role.

About the role
We're hiring a GCP Data Engineer for a US-based client. You'll own data pipelines, integrations and LLM-powered workflows across multiple client GCP projects at the same time, working independently from design to deployment.

What you'll do

• Build and maintain BigQuery pipelines: scheduled queries, data transfers and incremental loads
• Deploy and run services on Cloud Run, Cloud Functions and Cloud Scheduler
• Manage IAM, Secret Manager and Cloud Monitoring across many GCP projects at once
• Integrate external systems via REST APIs, webhooks and SFTP
• Build LLM-powered workflows using OpenAI, DeepSeek and Perplexity APIs, including prompt design
• Ship code with Git and Docker

Must-have

• 2+ years of commercial data engineering experience on GCP (experience on AWS or Azure only does not count)
• Advanced BigQuery SQL in production: scheduled queries, data transfers, incremental loads
• Hands-on with Cloud Run, Cloud Functions, Cloud Scheduler, Secret Manager, IAM and Monitoring
• Strong Python
• REST APIs, webhooks and SFTP integrations
• Git and Docker
• LLM APIs (OpenAI, DeepSeek or Perplexity) used in production, with prompt writing
• Fluent English: you'll communicate directly with the US client every day
• Full working overlap with PST (US Pacific time)
• A portfolio or examples of your work: GitHub, case studies or detailed project descriptions

Nice to have

• Terraform
• n8n
• Supabase / Postgres
• Clay
• Google Meridian
• Lead scoring or marketing-tech experience
• Experience reducing GCP and LLM costs

Please don't apply if

• Your main experience is backend or full-stack development
• Your cloud experience is mainly AWS or Azure
• You can't work PST business hours
• You can't name the companies you've worked for

What we offer

• Long-term engagement with a US client
• Fully remote

How to apply
Start your application with the word "BigQuery" and add 2–3 sentences about the most complex GCP pipeline you've built. Applications without this won't be reviewed.