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# Remote GCP Data Engineer

- **Company:** Insight Global
- **Location:** Woonsocket, RI, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Big Data, BigQuery, Cloud Engineering, Continuous Integration, Information Engineering, Extract Transform Load (ETL), DevOps, Django Web Framework, Data Flow Control, Python (Programming Language), OpenAI, Cloud Services, Standard Sql, Cloudera, SQL Databases, Web Application Frameworks, Google Cloud, LangChain, Retrieval-Augmented Generation, Flask (Web Framework), Large Language Models, Fastapi, Containerization, Pyspark, Kubernetes, Infrastructure Automation Frameworks, Api Design, Restful APIs, Terraform, Microservices
- **Published:** October 15, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3448866583&tx=JL7973FFJ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

6+ years of experience as a Data Engineer or Software Engineer -Strong Python development experience ->Experience with Python frameworks such as Django, Flask, and/or FastAPI -Strong experience designing and developing cloud-native data pipelines in GCP -Hands-on experience with BigQuery, Dataproc, Cloud Composer/Airflow, and Dataflow -Strong PySpark and SQL skills -Experience building and supporting ETL/data engineering pipelines -Experience developing APIs and microservices -Experience supporting CI/CD pipelines ->Experience with Kubernetes/GKE and containerized environments

## Description

Insight Global is seeking a GCP Data Engineer to support a large healthcare client. This individual will join the Network and Providers team, supporting a critical roster migration initiative involving the movement and transformation of data within Google Cloud Platform (GCP).

This role requires a hands-on engineer with strong experience across Python development, GCP data engineering, PySpark, ETL, APIs, and DevOps, along with exposure to modern AI/LLM technologies. The engineer will work with large datasets in BigQuery, develop and orchestrate ETL pipelines, build cloud-native Python applications and APIs, and support CI/CD and infrastructure automation.

Day-to-Day Responsibilities Design, develop, and maintain cloud-native data pipelines in GCP Move, process, and transform data within the GCP environment Develop ETL processes using PySpark, BigQuery, Dataproc, Dataflow, and Cloud Composer/Airflow Create and manage BigQuery tables and data workflows Build Python applications and services using Django, Flask, and/or FastAPI Develop and maintain REST APIs and microservices Support solutions leveraging AI/LLMs, RAG, LangChain, and OpenAI integrations Deploy and support workloads using Cloud Run, GKE, and Kubernetes Develop and support Cloud Functions Write efficient SQL and PySpark for large-scale data processing Support CI/CD pipelines and DevOps best practices Assist with infrastructure automation using Terraform Partner with engineering and business teams to support the roster migration and broader provider/network data initiatives