GCP Python Data Engineer

United States | Sept. 15, 2026

Report as Closed

Company: Capgemini

Country: United States

Type: Onsite

Employment: Full-time

Description: GCP Python Data Engineer Capgemini New York, NY Apply Join or sign in to find your next job Join to apply for the GCP Python Data Engineer role at Capgemini Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. GCP Python Data Engineer Capgemini New York, NY 2 days ago 52 applicants [ See who Capgemini has hired for this role ](https://www.linkedin.com/login?session_redirect=https%3A%2F%2Fwww%2Elinkedin%2Ecom%2Fsearch%2Fresults%2Fpeople%2F%3FfacetCurrentCompany%3D157240%26title%3DData%2BEngineer&emailAddress=&fromSignIn=&trk=public_jobs_see-who-was-hired_people-search-link_face-pile-cta) Apply Join or sign in to find your next job Join to apply for the GCP Python Data Engineer role at Capgemini Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Save Report this job Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Capgemini provided pay range This range is provided by Capgemini. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $100,000.00/yr - $145,000.00/yr Additional compensation types Annual Bonus Locations: New York, NY / Charlotte, NC Work Authorization Candidates must be authorized to work in the United States without current or future sponsorship. No visa sponsorship or transfers available. About the Role We are seeking a GCP Python Data Engineer to design, develop, and optimize cloud-native data solutions supporting analytics, AI/ML, and enterprise reporting initiatives. This role is ideal for a hands-on engineer with experience building scalable data pipelines and modern data platforms on Google Cloud Platform. Responsibilities Design and develop scalable batch and real-time data pipelines on Google Cloud Platform. Build ETL/ELT workflows using BigQuery, Dataflow, Dataproc, and Pub/Sub. Develop Python-based data processing and integration solutions. Design and optimize data warehouse, data lake, and analytics platforms. Support AI/ML and analytics use cases through high-quality data engineering practices. Automate workflows using Airflow and cloud-native orchestration tools. Collaborate with business, analytics, and engineering teams to deliver enterprise data solutions. Improve reliability, scalability, performance, and cost efficiency of cloud data platforms. Required Qualifications 5+ years of overall IT experience. 3+ years of hands-on Google Cloud Platform (GCP) experience. 3+ years of professional Python development experience. 2+ years of experience with BigQuery, Dataflow, Dataproc, and/or Pub/Sub. Experience building production batch and streaming data pipelines. Advanced SQL skills. Experience with ETL/ELT and data warehousing concepts. Preferred Qualifications Financial Services experience preferred. Experience with Vertex AI, Gemini, LLMs, RAG, or Agentic AI frameworks. Experience with Spark/PySpark. Terraform or Infrastructure as Code experience. Google Cloud Professional Data Engineer certification. Skills/Key Words: Google Cloud Platform (GCP), Data Engineering, Python, BigQuery, Google Cloud Dataflow, SQL, Data Pipelines, ETL, Apache Airflow, Google Cloud Pub/Sub, Apache Spark, PySpark, Data Warehousing, Data Architecture, Cloud Computing, Terraform, Machine Learning, Artificial Intelligence (AI) About Capgemini: Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion. Make it real | www.capgemini.com Life at Capgemini: Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: • Flexible work • Healthcare including dental, vision, mental health, and well-being programs • Financial well-being programs such as 401(k) and Employee Share Ownership Plan • Paid time off and paid holidays • Paid parental leave • Family building benefits like adoption assistance, surrogacy, and cryopreservation • Social well-being benefits like subsidized back-up child/elder care and tutoring • Mentoring, coaching and learning programs • Employee Resource Groups • Disaster Relief Show more Show less Seniority level Mid-Senior level Employment type Full-time Industries Financial Services, Information Services, and IT Services and IT Consulting Referrals increase your chances of interviewing at Capgemini by 2x See who you know Featured Benefits Inferred from the description for this job Medical insurance Vision insurance Dental insurance 401(k) Child care support Paid maternity leave Paid paternity leave Commuter benefits Disability insurance Get notified when a new job is posted. 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