GCP Data Engineer only W2

CDI Solutions; Charlotte (NC); Hybrid; USD 120,000 - 150,000; Full time

Job summary

A technology solutions provider is seeking a highly experienced GCP Data Engineer for a hybrid role in Charlotte, NC. The ideal candidate will have over 10 years of experience in software or cloud engineering and expertise in Google Cloud Platform, Python, and Django. You will be responsible for designing and optimizing cloud-native applications and data processing solutions. This long-term contract position offers the chance to work on critical business solutions in a collaborative environment.

Qualifications

• 10+ years of professional experience in software or cloud engineering.
• Strong hands-on experience with Google Cloud Platform (GCP).
• Extensive experience with Django and Django REST Framework.
• Solid understanding of distributed systems and microservices architecture.

Responsibilities

• Design and maintain cloud-native backend applications using Python and Django.
• Build and optimize Apache Spark / PySpark pipelines.
• Architect end-to-end solutions leveraging GCP services.
• Develop secure and scalable RESTful APIs and microservices.

Skills

Google Cloud Platform (GCP)

Python

Django

Apache Spark

Docker

Kubernetes

Tools

Terraform

GitHub

GitLab

Job description

One of my Clients is Hiring for GCP Data Engineer at Charlotte, NC-Hybrid for Long term Contract.

Location: Charlotte, NC (3days Hybrid)

Type: Long Term Contract

Overall 10+ years exp for a highly experienced Google Cloud Engineer with deep expertise in Python, Django, Spark, and Google Cloud Platform (GCP) to design, build, and optimize scalable, cloud-native data and analytics solutions.

Key Responsibilities

• Design, develop, and maintain cloud-native backend applications using Python and Django on GCP
• Build and optimize Apache Spark / PySpark pipelines for large-scale batch and streaming data processing
• Architect end-to-end solutions leveraging GCP services such as Compute Engine, GKE, Cloud Run, BigQuery, Dataproc, Dataflow, Cloud Storage, and Pub/Sub
• Develop secure, scalable RESTful APIs and microservices using Django and Django REST Framework
• Ensure high availability, performance, and scalability of applications and data pipelines
• Implement CI/CD pipelines and Infrastructure as Code (Terraform, Cloud Build, GitHub/GitLab)
• Apply best practices for security, authentication, authorization, and data protection
• Monitor, troubleshoot, and optimize production workloads using Cloud Monitoring and Logging
• Collaborate with product managers, data engineers, and platform teams to deliver business-critical solutions

Required Skills & Qualifications

• 10+ years of professional experience in software or cloud engineering
• Strong hands-on experience with Google Cloud Platform (GCP)
• Extensive experience with Django and Django REST Framework
• Strong hands-on experience with Apache Spark / PySpark
• Solid understanding of distributed systems, microservices architecture, and REST APIs
• Experience with BigQuery, SQL optimization, and data modeling
• Experience with Dataproc, Dataflow, or managed Spark environments
• Proficiency with Docker, Kubernetes (GKE), and Linux
• Experience with CI/CD, version control, and automated testing