Referral Only - Senior GCP Data Engineer
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.
Location
Location
Anywhere in the USA but preferred in Atlanta GA and Nashville TN
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.
Your Skills And Experience Required
7+ 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).
The base compensation range for this role in the posted location is $73,150 to $174,000
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.
Benefits
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
Apply tot his job
Apply To this Job
Location
Location
Anywhere in the USA but preferred in Atlanta GA and Nashville TN
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.
Your Skills And Experience Required
7+ 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).
The base compensation range for this role in the posted location is $73,150 to $174,000
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.
Benefits
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
Apply tot his job
Apply To this Job