Location: New York, NY (Preferred) | Charlotte, NC (Relocation Considered) | Hybrid
Compensation: $110,000 - $145,000 Base Salary + 15-20% Annual Bonus
Work Authorization: Must be authorized to work in the United States without current or future sponsorship. No visa sponsorship, transfers, or C2C arrangements available.
We are seeking a hands-on Google Cloud Platform Python Data Engineer to design, develop, and optimize cloud-native data solutions supporting enterprise analytics, AI/ML, and business intelligence initiatives.
This role is ideal for a data engineering professional with strong Google Cloud Platform expertise, advanced Python development skills, and experience building scalable batch and real-time data pipelines.
Candidates may be considered at the Senior Consultant, Managing Consultant, or Senior Manager level depending on experience.
Responsibilities
- Design, build, and optimize data pipelines on Google Cloud Platform
- Develop ETL/ELT solutions using Dataflow, Dataproc, Pub/Sub, and BigQuery
- Create scalable Python-based applications and data processing frameworks
- Design and support data lake and data warehouse architectures
- Build event-driven solutions using Cloud Functions and Pub/Sub
- Automate workflows with Cloud Composer (Airflow)
- Support AI/ML and advanced analytics use cases
- Collaborate with business, analytics, and engineering teams
- Troubleshoot production issues and improve pipeline performance, reliability, and scalability
- Contribute to CI/CD and cloud deployment automation efforts
Required Qualifications
- 5+ years of data engineering or software engineering experience
- 2+ years of hands-on Google Cloud Platform experience
- 2+ years of Python development experience
- Experience developing batch and streaming data pipelines
- Advanced SQL skills
- Experience with BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, and Airflow
- Strong understanding of ETL/ELT, data warehousing, and data lake architectures
Preferred Qualifications
- Financial Services experience preferred
- Experience with Vertex AI, Gemini, LLMs, RAG solutions, or Agentic AI frameworks
- Experience with Spark or PySpark
- Terraform or Infrastructure as Code experience
- Knowledge of cloud cost optimization and FinOps concepts
- Google Cloud Professional Data Engineer certification
- Experience supporting AI/ML data platforms
No Sponsorship
Candidates must be authorized to work in the United States without sponsorship now or in the future. This role is not available for H-1B, OPT, CPT, TN, E-3, L-1, or other employment-based visa holders requiring sponsorship.
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 | ;/div>
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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: KANBAY
- Position Id: 9070853
- Posted 19 hours ago
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