Job Description Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets. Location Anywhere in the USA 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 10+ years of IT experience with 5+ years in Data Engineering. 2+ years of hands-on experience with Google Cloud Platform. 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). Job Description Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets. Job Description - Grade Specific The role involves leading and managing a team of data engineers, defining and executing the data engineering strategy, and ensuring the effective delivery of data solutions. They provide technical expertise, drive innovation, and collaborate with stakeholders to deliver high quality, scalable, and reliable data infrastructure and solutions. The base compensation range for this role in the posted location is $76,200 to 4187,740. 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.