Data Engineer GCP

Capgemini • New York, NY

9d • $76,730 - $150,800 • Hybrid

About The Position

Capgemini is seeking a GCP Data Engineer with hands-on experience using Google Cloud Platform services, particularly BigQuery, and experience with DBT for data transformation and modeling. The role calls for strong SQL skills, a solid understanding of data warehousing, basic-to-intermediate Python proficiency for scripting and automation, and an understanding of telecommunications CES and network data, including calls, chats, and network data. This is a hybrid role in Atlanta, Georgia.

The engineer will design, build, and maintain scalable GCP data pipelines and warehousing solutions; develop and manage DBT models as a preferred capability; and collaborate with analysts, data scientists, and business stakeholders to provide reliable, high-quality datasets. The role also involves monitoring pipeline performance and data quality, automating workflows where needed, and ensuring data governance, security, and compliance.

The posted base compensation range is $76,730–$150,800. The role may also be eligible for variable incentives, bonuses, or commissions. Capgemini offers regular full-time employees a comprehensive benefits package, subject to local policy and eligibility. In the U.S. and Canada, benefits may include paid time off, company-paid holidays, personal days, sick leave, medical, dental and vision coverage, retirement savings plans, life and disability insurance, and employee assistance programs.

Requirements

• 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 and the ability to write efficient, complex queries.
• 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 such as Git.
• Excellent problem-solving and communication skills.
• Strong understanding of telecommunications CES and network data, including calls, chats, and network data.

Nice To Haves

• Knowledge of DBT for data modeling and transformation.

Responsibilities

• Design, build, and maintain scalable data pipelines on GCP, primarily using BigQuery.
• Develop and manage DBT models to transform raw data into clean, tested, and documented datasets (listed as a nice-to-have capability).
• Write complex, optimized SQL queries for data extraction, transformation, and analysis.
• Implement and maintain data warehousing solutions, ensuring 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 data pipeline performance and data quality issues.
• Automate data workflows and tasks using Python scripts where necessary.
• Ensure data governance, security, and compliance standards are met.

Benefits

• Paid time off, with vacation of 12–25 days depending on employee grade, plus company-paid holidays, personal days, and sick leave.
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada).
• Retirement savings plans, such as a 401(k) in the U.S. or RRSP in Canada.
• Life and disability insurance.
• Employee assistance programs.
• Other benefits as provided by local policy and eligibility.
• The role may be eligible for variable incentives, bonuses, or commissions.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level