Your Role

We are seeking a highly skilled Senior Data Engineer with strong expertise in Google Cloud Platform (GCP) to design, develop, and optimize enterprise-scale data platforms and data processing pipelines. The ideal candidate will have extensive experience in cloud-native data engineering, distributed computing frameworks, modern DevOps practices, and data governance. This role requires both hands-on technical proficiency and leadership capabilities to drive best practices across the data engineering organization.

Must Have

GCP Certifications (e.g., Professional Data Engineer).
Experience with real-time processing, Vertex AI, or multi-cloud environments

Required Skills and Expereince

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
• 8+ years of experience in data engineering, data warehousing, or big data technologies.
• Strong programming skills in:
  • SQL
  • Python
  • Java and/or Scala
• Hands-on experience with distributed data processing frameworks:
  • Apache Spark
  • Apache Beam
• Proven expertise with GCP services:
  • BigQuery
  • Dataflow
  • Dataproc
  • Pub/Sub
  • Composer (Airflow)
  • Terraform
• Experience with DevOps practices including:
  • CI/CD pipelines
  • Git-based source control
  • Infrastructure as Code (IaC)
• Strong understanding of data modeling, ETL/ELT frameworks, and cloud data architectures.

The base compensation range for this role in the posted location is $130,000- $170,00

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.