GCP Data Engineer

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