Work Schedule: Full-time, US business hours
About the role We’re hiring a GCP Data Engineer for a US-based client. Availability during US business hours is required. You’ll own data pipelines and integrations across many client projects at once, working independently from design to deployment. If you’re comfortable juggling multiple GCP environments and like building practical, cost-efficient data and LLM-powered solutions, we’d like to hear from you.
What you’ll do
Build and maintain data pipelines in BigQuery: scheduled queries, data transfers and incremental loads
Develop and deploy services with Cloud Run, Cloud Functions and Cloud Scheduler
Manage access, secrets and monitoring (IAM, Secret Manager, Cloud Monitoring) across multiple GCP projects
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
2–3+ years as a data engineer working with GCP
Advanced BigQuery SQL (scheduled queries, data transfers, incremental loads)
Strong Python
Hands-on with Cloud Run, Cloud Scheduler, Cloud Functions, Secret Manager, IAM and Monitoring, across many projects at once
REST APIs, webhooks and SFTP integrations
Git and Docker
Production experience with LLM APIs (OpenAI, DeepSeek, Perplexity) and prompt writing
Able to work independently and manage several client projects in parallel
Availability during US business hours
Nice to have
Terraform
n8n
Supabase / Postgres
Clay
Google Meridian
Lead scoring or marketing-tech experience
Track record of reducing GCP and LLM costs
What we offer
Long-term engagement with a US client
Fully remote
