Job Title: GCP Data Engineer (MLOps)

Start Date: Targeting April 1

Location: Remote (USA). Preferred: Texas or New Jersey





About the role

We are seeking a GCP Data Engineer with strong MLOps experience to build, scale, and operationalize data and ML pipelines on Google Cloud. You will partner with Data Science, Product, and Platform teams to deliver reliable, production-grade workflows for batch and real-time machine learning, while driving model performance monitoring and operational excellence.



Key responsibilities

• Design, develop, and optimize scalable data pipelines and ML workflows on GCP with BigQuery and Spark


• Build robust ELT/ETL processes and data models supporting ML feature stores, training datasets, and production inference


• Orchestrate pipelines and jobs, enabling depende...