Overview
On Site
$50 - $60
Contract - W2
Contract - Independent
Skills
GCP Data Engineer
DataProc
Dataflow
Cloud SQL
BigQuery
ETL/ELT
metadata
Pub/Sub
python
SQL
Job Details
Position: Google Cloud Platform Data Engineer
Location: Atlanta GA (Locals Only)
Type: contract
Work Mode: Hybrid (Onsite flexibility required)
Role Overview:
We are seeking an experienced Google Cloud Platform Data Engineer to design, develop, and optimize scalable data platforms and pipelines on Google Cloud. The ideal candidate will have hands-on expertise with Google Cloud Platform-native tools, strong programming skills, and the ability to deliver efficient data solutions that drive business intelligence and analytics initiatives.
Key Responsibilities:
- Design, build, and maintain data ingestion, transformation, and processing pipelines using Google Cloud Platform services.
- Develop and operate scalable distributed data systems leveraging DataProc, Dataflow, BigQuery, Cloud Spanner, Cloud SQL, Pub/Sub, and Cloud Storage.
- Build and support batch and streaming data workflows, including the development of API interfaces for data access and integration.
- Collaborate with data scientists, analysts, and business stakeholders to understand requirements and deliver data solutions that align with business goals.
- Ensure data quality, governance, and compliance with industry and organizational standards.
- Troubleshoot, optimize, and enhance data pipeline performance and reliability.
- Implement logging, monitoring, and alerting mechanisms for data jobs and infrastructure.
- Drive adoption of Infrastructure as Code (IaC) practices using tools like Terraform for consistent and automated deployments.
- Mentor junior engineers, enforce coding best practices, and maintain high standards for data reliability and performance.
Required Skills & Qualifications:
- 8+ years of hands-on experience in data engineering, preferably within Google Cloud Platform environments.
- Proficiency in Python, Java, or Scala, with strong SQL programming expertise.
- Proven experience building and managing distributed data processing systems using Google Cloud Platform tools such as BigQuery, Dataflow, DataProc, Pub/Sub, Cloud Spanner, and Cloud Storage.
- Strong understanding of ETL/ELT workflows, data architecture, and data warehousing principles.
- Experience designing real-time and batch data pipelines and integrating with API-based systems.
- Familiarity with Terraform or other IaC tools for automation and environment management.
- Exposure to CI/CD pipelines, data observability, and performance optimization practices.
- Excellent analytical, communication, and leadership skills.
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.