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

This job is based in Atlanta, GA and Nashville, TN requiring hybrid work participation.

About the job you're considering

Looking for a GCP Data Engineer with strong Data Engineering experience to build and maintain complex technology initiatives. Your role will involve hands-on development and implementation of data platforms on Google Cloud Platform.

Your role

Build, develop, and maintain end-to-end data pipelines (ETL/ELT) on Google Cloud Platform.
Implement data ingestion, processing, storage, and analytics using BigQuery, Dataflow, Pub/Sub, Cloud Storage, Dataproc, and Composer.
Implement modern data lakehouse and data warehouse architectures aligned with analytics and AI use cases.
Ensure data quality, validation, and adherence to data governance and security standards.
Develop infrastructure as code using Terraform or equivalent tools.
Collaborate with architects and platform teams on CI/CD, DataOps, and monitoring strategies.
Apply GCP security best practices, including IAM, networking, encryption, and compliance controls.
Partner with business and technology stakeholders to translate technical designs into functional, efficient code.
Act as a technical developer on cloud data modernization and GCP best practices.
Support solution implementation, including testing, debugging, and production support. 

Your skills and experience

Required: 5+ years of overall IT experience with 3+ years specifically in cloud data engineering.
Required: Proven experience building and deploying GCP-based data pipelines.
Background with large enterprise data programs across industries.
Deep expertise in Google Cloud Platform, including BigQuery, Cloud Storage, Dataflow (Apache Beam), Pub/Sub, Dataproc (Spark), and Composer (Airflow).
Strong knowledge of data modeling, ETL/ELT, streaming architectures, and SQL.
Experience with CI/CD, Terraform, and DataOps practices.
Exposure to AI/ML enablement on GCP (Vertex AI is a plus).
Required: Google Professional Data Engineer Certification.
Strong communication and stakeholder management abilities.
Ability to explain technical concepts to technical and non-technical audiences.
Experience working in global, distributed teams.
Passion for innovation, engineering excellence
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The base compensation range for this role in the posted location is $65,200 to $169,000

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.

 

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