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Salary
≈ $107k – $202k per year (Estimated)
Location
Hybrid (New York, United States)
Seniority
Senior · 5+ years exp
Visa
H-1B filings in 12 months: 2,076 · for this role: 79 · green card filings: 82
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Oct 28, 2026. Capgemini scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Capgemini is a French information technology services and consulting group founded in Grenoble in 1967 by Serge Kampf, and one of the largest IT service providers in the world. It designs, builds and runs systems for large enterprises and governments across some fifty countries, with a delivery workforce concentrated in India and a European client base heavier than most of its competitors. The group is organised into Capgemini Invent for strategy and design, Capgemini Engineering for research and development services acquired with Altran, and Sogeti for local technology services, and it has reoriented its portfolio around cloud migration, data platforms and generative AI.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Job Location:

This is a hybrid role in Atlanta, GA.

About the job you're considering

We are seeking a GCP Data Engineer with hands-on experience with Google Cloud Platform (GCP) services, particularly BigQuery, and be experienced in DBT for data transformation and modeling. This role requires strong SQL skills, a solid understanding of data warehousing concepts, and light proficiency in Python for scripting and automation. Strong understanding of Telco - CES and Network Data. Calls, Chats, Network data.

Your role

  • Design, build, and maintain scalable data pipelines on GCP, primarily using BigQuery.
  • Nice to have the experience to Develop and manage DBT models to transform raw data into clean, tested, and documented datasets.
  • Write complex and 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.

Skills and experience

  • 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 with the ability to write efficient, complex queries.
  • Nice to have knowledge in 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 skills in Python for scripting and automation.
  • Familiarity with version control systems like Git.
  • Excellent problem-solving and communication skills.'

The base compensation range for this role in the posted location is: $76,730 - $150,800.

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

  • 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 (e.g., 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

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

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