GCP API Data Engineer

We are excited to expand our GCP team, you can work from our office in Nashville, Chicago, Atlanta, New Jersey, New York, Dallas, Houston, Santa Clara and San Francisco., We are seeking an experienced API & Google Cloud Platform (GCP) Data Engineer to design, build, and maintain scalable data pipelines and API-driven data solutions on GCP. The ideal candidate will have hands-on experience with data engineering best practices, cloud-native services, and RESTful APIs, and will work closely with cross-functional teams to enable reliable, secure, and high-performance data platforms., Data Engineering & Cloud Development

• Design, develop, and maintain scalable and reliable data pipelines on Google Cloud Platform (GCP)
• Implement batch and real-time data processing using services such as BigQuery, Dataflow, Pub/Sub, Cloud Composer, and Cloud Storage
• Optimize data performance, cost, and scalability across cloud environments
• Ensure data quality, integrity, and availability through monitoring and validation frameworks

API Design & Integration

• Design, develop, and maintain RESTful APIs for data ingestion, access, and integration
• Integrate APIs with cloud-based data platforms and downstream applications
• Handle API authentication, authorization, rate limiting, and security best practices
• Collaborate with consuming teams to define API contracts and documentation

Architecture & DevOps

• Contribute to cloud data architecture and solution design
• Build CI/CD pipelines for data and API deployments using tools such as Cloud Build, GitHub/GitLab CI, or Jenkins
• Implement Infrastructure as Code (IaC) using Terraform or Deployment Manager
• Follow DevOps and DataOps best practices

• 3 to 8 years of experience in data engineering or backend engineering roles.
• Strong experience with Google Cloud Platform (GCP).
• Proficiency in API development (REST, JSON, OAuth, OpenAPI/Swagger).
• Hands-on experience with BigQuery, SQL, and data modeling.
• Strong programming skills in Python and/or Java.
• Experience with data orchestration tools (e.g., Airflow / Cloud Composer).
• Knowledge of streaming and messaging systems such as Pub/Sub or Kafka.
• Experience with CI/CD, version control (Git), and automated deployments.
• Understanding of cloud security, IAM, and data governance best practices.

Preferred / Nice-to-Have Qualifications

• Experience with Terraform or other Infrastructure as Code tools.
• Exposure to microservices architecture.
• Experience with Docker and Kubernetes (GKE).
• Knowledge of data warehousing and analytics use cases.
• Familiarity with Agile/Scrum development methodologies.
• GCP certifications (e.g., Professional Data Engineer) are a plus

The base compensation range for this role in the posted location is $76,200 to $187,740.

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.

Capgemini ist einer der weltweit führenden Anbieter von Management- und IT-Beratung, Technologie-Services und Digitaler Transformation. Als ein Wegbereiter für Innovation unterstützt das Unternehmen seine Kunden bei deren komplexen Herausforderungen rund um Cloud, Digital und Plattformen.