DATA Engineer GCP

Job Description

Job Description

Job Title: DATA Engineer – GCP

Work Time Zone: EST

Rate: $58-60/hour on 1099/C2C

Location: Atlanta, GA (Hybrid – 3 days on-site)

 

We are looking for a highly capable Data Engineer to design, build, and maintain reliable, scalable data pipelines and infrastructure on Google Cloud Platform (GCP) .. The ideal candidate is proficient with BigQuery , Dataflow , and has experience integrating modern tools like Vertex AI and Gemini models for intelligent data workflows.

Core Responsibilities:

• Data Pipeline Development: Build scalable batch and real-time pipelines using Dataflow , Pub/Sub , Cloud Composer , and Dataproc .
• Data Warehousing: Design and optimize analytical models in BigQuery , implementing best practices in schema design and performance tuning.
• Infrastructure & CI/CD: Deploy data infrastructure with Terraform ; create and manage CI/CD pipelines for workflow automation.
• Data Quality & Governance: Implement validation checks, ensure data integrity, and enforce security and governance practices.
• AI/ML Integration: Collaborate with data scientists to support Vertex AI workflows and explore the use of Gemini models (via BigQuery ML or Vertex AI APIs ) for advanced data transformation.
• Cross-Team Collaboration: Work with analysts, scientists, and business stakeholders to deliver impactful data solution.

Technical Skills:

• Strong experience with GCP services : BigQuery, Dataflow, Pub/Sub, Cloud Storage
• Expertise in SQL , Python , and ETL/ELT development
• Knowledge of Infrastructure as Code tools (e.g., Terraform)
• Familiarity with CI/CD tools : Google Cloud Build, Jenkins
• Understanding of data modeling , partitioning , clustering , and materialized views
• Working knowledge of data quality frameworks and governance principles
• Experience with Vertex AI , or a strong interest in ML/AI workflows on GCP
• Apache Spark, Kafka, Apache Airflow
• DBT or Dataform for transformations
• Docker, Kubernetes for Containerization
• Snowflake, Databricks or other modern platforms
•  

Soft Skills:

• Strong communication and collaboration skills
• Ability to manage priorities and work independently
• Analytical thinking and problem-solving mindset

Preferred Skills (Bonus):

• Google Cloud certifications (e.g., Professional Data Engineer , ML Engineer )
• Domain experience in energy , utilities , or industrial sectors

Experience Requirements:

• Education : Bachelor’s degree in computer science, Engineering, Statistics, or related technical field (or equivalent experience)
• Professional Experience :
• 8-10 years of experience in data engineering
• Proven hands-on experience with GCP and modern data architecture