Data Engineer GCP
Cloud
Cloud Native
Cloud Platforms
Data
Data Analysis
Data Analytics
Data Architecture
Data Build Tool
Data Engineer
Data Engineering
Data Integration
Data Management
Data Modeling
Data Operations
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Data Transforms
Data Warehouse
Database
Databases
Dbt
Engineer
ETL
Google Cloud
Google Cloud Bigquery
Information Technology (IT)
Programming
Programming Language
Programming Languages
Software Development
SQL
Job Description
Capgemini is hiring a GCP Data Engineer for a hybrid role in Atlanta, GA. If you enjoy building reliable data platforms on Google Cloud, working close to analytics and business stakeholders, and improving pipeline performance and data quality, this role offers a clear engineering focus and strong benefits.
Salary: USD 76,730 - 150,800 per year. Experience: 5+ years. Education: Bachelor’s degree in Computer Science, Information Systems, or a related field.
What you’ll do
- Design, build, and maintain scalable data pipelines on GCP, primarily using BigQuery.
- Write complex, optimized SQL to support data extraction, transformation, and analysis.
- Develop and maintain data warehousing solutions with a focus on performance, scalability, and reliability.
- Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality solutions.
- Monitor and troubleshoot pipeline performance and data quality issues.
- Automate data workflows and tasks using Python scripts where needed.
- Ensure data governance, security, and compliance standards are met.
- Nice to have: Develop and manage DBT models to transform raw data into clean, tested, and documented datasets.
What you bring
- Bachelor’s degree in Computer Science, Information Systems, or a related field.
- 5 years of experience in data engineering or a similar role.
- Strong expertise in SQL, including the ability to write efficient, complex queries.
- Nice to have knowledge of DBT for data modeling and transformation.
- Hands-on experience with BigQuery and other GCP data services.
- Solid understanding of data warehousing principles and best practices.
- Basic to intermediate Python skills for scripting and automation.
- Familiarity with version control systems like Git.
- Excellent problem-solving and communication skills.
Core technologies
Google Cloud Platform (GCP), BigQuery, DBT, SQL, Python, Git.
Benefits
- Paid time off based on employee grade (A-F), defined by policy: Vacation 12-25 days (depending on grade), Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (for example, 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
Similar Jobs
