Lead GCP Data Engineer — Python Pipelines & Real-Time Data

Capgemini; Charlotte (NC); Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Healthcare including dental, vision, mental health programs

Financial well-being programs like 401(k)

Paid time off and holidays

Paid parental leave

Family building benefits

Social well-being benefits

Mentoring and coaching programs

Job summary

Capgemini is looking for a GCP Python Lead Data Engineer in Charlotte or New York City. The ideal candidate will utilize their Python and GCP expertise to design, build, and optimize scalable data solutions. Responsibilities include developing data pipelines and ETL workflows, collaborating with analytics and AI teams, and troubleshooting data issues.

We offer a full-time position with comprehensive health benefits, 401(k), paid time off, parental leave, and mentoring programs. Join us to thrive in a diverse environment that encourages everyone to contribute to their fullest potential.

Qualifications

• 8+ years of data engineering or software engineering experience.
• 3+ years of hands‑on Google Cloud Platform experience.
• 3+ years of Python development.
• 3+ years of experience building data pipelines.

Responsibilities

• Design, build, and maintain scalable batch and real‑time data pipelines using GCP services.
• Develop and optimize ETL/ELT workflows for structured and unstructured data.
• Implement event‑driven data processing using Cloud Functions.
• Build and manage data ingestion frameworks.

Skills

GCP Data Engineer

Python expertise

Data Processing: Batch & Streaming architectures

Data Warehousing

ETL/ELT

Tools

Google Cloud Platform

Dataflow

BigQuery

Python

Job description

Capgemini is looking for a GCP Python Lead Data Engineer in Charlotte or New York City. The ideal candidate will utilize their Python and GCP expertise to design, build, and optimize scalable data solutions. Responsibilities include developing data pipelines and ETL workflows, collaborating with analytics and AI teams, and troubleshooting data issues.

We offer a full-time position with comprehensive health benefits, 401(k), paid time off, parental leave, and mentoring programs. Join us to thrive in a diverse environment that encourages everyone to contribute to their fullest potential.