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# Google Cloud Platform Python Data Engineer

- **Company:** Capgemini
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $110,000.0 - $145,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, BigQuery, Cloud Storage, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Data Flow Control, Python (Programming Language), Cloud Services, Cloudera, Software Engineering, Data Streaming, Google Cloud, Sql Optimization, Large Language Models, Apache Spark, Data Lakes, Pyspark, Deployment Automation, Integration Frameworks, Data Management, Virtual Agents, Cloud Optimization, Terraform, Data Pipelines
- **Published:** August 30, 2026
- **Apply:** https://www.dice.com/job-detail/99a6968c-e61d-4530-8815-77ce392e6ad6

## About the Role

* 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, * 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

## Description

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., * 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


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