Overview
Remote
On Site
Depends on Experience
Contract - W2
Skills
Agile
Data Flow
DevOps
Extract
Transform
Load
Google Cloud Platform
Python
Terraform
SQL
Workflow
Apache Beam
Job Details
Position: Google Cloud Platform Data Engineer
Type: W2 Contract (No C2C)
We re seeking a skilled Google Cloud Platform Data Engineer to build and manage scalable data pipelines and cloud-native solutions on Google Cloud Platform (Google Cloud Platform). This role involves working closely with data architects, analysts, and developers to deliver high-performance, secure, and reliable data infrastructure.
Responsibilities:
- Design and develop ETL/ELT pipelines on Google Cloud Platform using Dataflow, BigQuery, Pub/Sub, and Cloud Storage
- Collaborate with stakeholders to define data architecture and engineering strategies
- Optimize data workflows and ensure quality, governance, and security
- Implement CI/CD for data pipelines using tools like Cloud Build or Terraform
- Support real-time and batch data processing for analytics and ML pipelines
- Monitor, troubleshoot, and tune data pipelines for performance
Requirements:
- 5+ years of experience in data engineering; 2+ years with Google Cloud Platform
- Proficient in BigQuery, Dataflow (Apache Beam), Pub/Sub, Composer (Airflow), and Cloud Functions
- Strong SQL and Python skills; experience with Terraform, Git, and CI/CD
- Familiarity with data warehousing, data modeling, and pipeline orchestration
- Understanding of data privacy, security, and compliance in cloud environments
- Experience with Agile methodologies and DevOps practices
- Google Cloud Platform Data Engineer certification is a plus
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.