Pay
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Atlanta, US
Actively hiring, first seen by us today#LI-SD1 The base compensation range for this role in the posted location is $101,140 to $182,620 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.Read the full posting
Design, build and maintain scalable data pipelines and APIs on Google Cloud
Develop automated workflows and data platforms for analytics, reporting and AI/ML
Implement best practices for data security, governance, CI/CD and automated deployment
Support testing, deployment, monitoring and production troubleshooting
Produce reusable code and mentor team members on best practices
Design, build, and maintain scalable data pipelines and APIs on Google Cloud Platform.
Develop automated workflows and data platforms that support analytics, reporting, and AI/ML use cases.
Implement best practices for data security, governance, CI/CD, and automated deployment.
Support testing, deployment, monitoring, and production troubleshooting.
Produce high-quality, reusable code and mentor team members on best practices.
Google Cloud Professional Data Engineer Certification. Bachelor’s degree in computer science or related field (Master’s preferred). #LI-SD1
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Day 0
Early. Similar jobs usually come down between day 7 and day 54.
From 7,992 similar postings that came down. Coming down is not always a hire.
343 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- BigQuery, Cloud Run, GKE, Cloud Functions - Python (FastAPI), Java, or Scala - Apigee, Kafka, Spark Streaming
Preferred Experience with Apigee, Python (FastAPI), Spark, Kafka, Vertex AI. Google Cloud Professional Data Engineer Certification.
- Apigee, Kafka, Spark Streaming - SQL, CI/CD, Git/GitHub Solid understanding of Agile methodologies
Strong experience with BigQuery, Cloud Storage, Dataflow/Dataproc, Pub/Sub, and APIs. Proficiency in SQL, data modeling, ETL/ELT, and streaming architectures. Experience with CI/CD, Git/GitHub, and Agile methodologies.
- Strong experience with: - BigQuery, Cloud Run, GKE, Cloud Functions - Python (FastAPI), Java, or Scala
Strong problem-solving, communication, and collaboration skills Strong experience with BigQuery, Cloud Storage, Dataflow/Dataproc, Pub/Sub, and APIs. Proficiency in SQL, data modeling, ETL/ELT, and streaming architectures.
About the job you're considering We are seeking a Senior Staff Data Engineer – API with strong Google Cloud Platform (GCP) experience to design, build, and support scalable enterprise data platforms. This role is hands-on and highly collaborative, requiring strong problem-solving skills and the ability to work in fast-paced, matrixed environments. Your role
Your role Design, build, and maintain scalable data pipelines and APIs on Google Cloud Platform. Develop automated workflows and data platforms that support analytics, reporting, and AI/ML use cases.
10+ years of IT experience with 5+ years in Data Architecture. Minimum 2+ years of hands-on experience with Google Cloud Platform. 2+ years of API development experience
Experience with Apigee, Python (FastAPI), Spark, Kafka, Vertex AI. Google Cloud Professional Data Engineer Certification. Bachelor’s degree in computer science or related field (Master’s preferred).
- Python (FastAPI), Java, or Scala - Apigee, Kafka, Spark Streaming - SQL, CI/CD, Git/GitHub
Complete your application on careers.capgemini.com. The employer’s form will show what is required.
Already applied? Track this application
New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
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.
Anywhere in the USA but preferred in Atlanta GA , Nashville TN and Dallas TX
About the job you're considering
We are seeking a Senior Staff Data Engineer – API with strong Google Cloud Platform (GCP) experience to design, build, and support scalable enterprise data platforms. This role is hands-on and highly collaborative, requiring strong problem-solving skills and the ability to work in fast-paced, matrixed environments.
Your role
Design, build, and maintain scalable data pipelines and APIs on Google Cloud Platform.
Develop automated workflows and data platforms that support analytics, reporting, and AI/ML use cases.
Implement best practices for data security, governance, CI/CD, and automated deployment.
Collaborate with data engineers, architects, data scientists, and business stakeholders.
Produce high-quality, reusable code and mentor team members on best practices.
Support testing, deployment, monitoring, and production troubleshooting.
10+ years of IT experience with 5+ years in Data Architecture.
Minimum 2+ years of hands-on experience with Google Cloud Platform.
2+ years of API development experience
Solid understanding of Agile methodologies
Strong problem-solving, communication, and collaboration skills
Strong experience with BigQuery, Cloud Storage, Dataflow/Dataproc, Pub/Sub, and APIs.
Proficiency in SQL, data modeling, ETL/ELT, and streaming architectures.
Experience with CI/CD, Git/GitHub, and Agile methodologies.
Strong communication skills and ability to mentor junior engineers.
Preferred
Experience with Apigee, Python (FastAPI), Spark, Kafka, Vertex AI.
Google Cloud Professional Data Engineer Certification.
Bachelor’s degree in computer science or related field (Master’s preferred).
#LI-SD1
The base compensation range for this role in the posted location is $101,140 to $182,620
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:
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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
#LI-SD1 The base compensation range for this role in the posted location is $101,140 to $182,620 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.
Atlanta, US
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.