Capgemini

GCP Python Data Engineer

New York, United States · On-site
Salary not published
Posted last week

From Capgemini's careers page

Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.

About the role

What they ask for vs. your profile

Must have

Google Cloud
ETL
Python
LLMs
SQL
Generative AI
Spark
Airflow
BigQuery
CI/CD
Terraform
Warehouse operations

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Capgemini

GCP Python Data Engineer

New York, United States · On-site
Salary not published
Posted last week

From Capgemini's careers page

Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.

About the role

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

About the Role

We are seeking a highly skilled GCP Python Data Engineer to design, build, and optimize scalable cloud-based data solutions on Google Cloud Platform (GCP). The ideal candidate will possess strong Python development skills, hands-on experience with modern data engineering technologies, and expertise in building both batch and real-time data pipelines supporting analytics, AI/ML, and enterprise reporting initiatives.

Work Authorization: Candidates must be authorized to work in the United States without current or future sponsorship. No visa sponsorship, transfers, or C2C arrangements are available.

Key Responsibilities

Data Engineering & Pipeline Development

Design, develop, and optimize ETL/ELT pipelines for structured and unstructured data.

Build scalable batch and streaming data processing solutions using GCP technologies.

Develop event-driven data processing solutions leveraging Pub/Sub and Cloud Functions.

Create and maintain data ingestion frameworks for enterprise data platforms.

Show the full description

Data Storage & Analytics

Design and optimize data lake, lakehouse, and data warehouse solutions.

Build efficient data models supporting analytics, reporting, and AI/ML workloads.

Optimize performance, scalability, and cost efficiency of data pipelines and queries.

Development & Automation

Develop robust Python-based solutions and frameworks.

Automate orchestration and workflow management using Cloud Composer (Airflow).

Implement CI/CD pipelines and deployment automation.

Apply software engineering best practices for testing, monitoring, and observability.

Collaboration & Support

Partner with business stakeholders, analytics teams, data scientists, and engineers to deliver data solutions.

Troubleshoot production issues and perform root cause analysis.

Continuously improve reliability, scalability, security, and operational excellence.

Required Qualifications

5+ years of data engineering, software engineering, or related experience.

2+ years of hands-on Google Cloud Platform (GCP) experience.

2+ years of professional Python development experience.

Experience developing batch and real-time data pipelines.

Advanced SQL development and query optimization skills.

Experience with data warehousing, ETL/ELT, and modern data architecture patterns.

Strong understanding of cloud-native data engineering practices.

Required Technical Skills

Google Cloud Platform

BigQuery

Dataflow

Dataproc

Pub/Sub

Cloud Functions

Cloud Composer (Airflow)

Cloud Storage

Cloud SQL

IAM

Cloud Monitoring

Cloud Logging

Programming & Data Engineering

Python

SQL

Bash/Shell Scripting

ETL/ELT

Data Warehousing

Data Lake / Lakehouse Architectures

Batch Processing

Real-Time Streaming Architectures

Preferred Qualifications

Experience with Vertex AI and Google AI services.

Experience building AI/ML data platforms and pipelines.

Knowledge of Large Language Models (LLMs) and GenAI concepts.

Experience with Gemini models, Agentic AI frameworks, Prompt Engineering, RAG architectures, and Vector Search.

Experience with Dataproc, Spark, or PySpark.

Familiarity with event-driven architectures.

Experience with Terraform or Infrastructure as Code.

Understanding of cloud cost optimization and FinOps practices.

Financial Services industry experience.

Google Cloud Professional Data Engineer Certification.

Keywords

GCP, Google Cloud Platform, Python, BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Functions, Cloud Composer, Airflow, SQL, ETL, ELT, Data Engineering, Data Pipelines, Streaming, Batch Processing, Cloud Storage, Cloud SQL, Vertex AI, Gemini, Generative AI, Agentic AI, LLM, RAG, Vector Search, Semantic Search, Spark, PySpark, Terraform, Data Warehouse, Data Lake, Lakehouse, CI/CD, Financial Services

The base compensation range for this role in the posted location is: $115,000 - $145,000/ yearly.

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

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.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Ref. code

538592

Posted on

Nov 6, 2026

Experience Level

Experienced Professionals

Contract Type

Permanent

Location

New York, NY, US

Brand

Capgemini

Professional Community

Data & AI

Nearest Major Market: Manhattan

Nearest Secondary Market: New York City

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What they ask for vs. your profile

Must have

Google Cloud
ETL
Python
LLMs
SQL
Generative AI
Spark
Airflow
BigQuery
CI/CD
Terraform
Warehouse operations

What they ask for vs. your profile

Must have

Google Cloud
ETL
Python
LLMs
SQL
Generative AI
Spark
Airflow
BigQuery
CI/CD
Terraform
Warehouse operations

Your match

A free account lets you apply, save this job, see how well you match and check your resume against it.

Reach the hiring team

A short note to a recruiter or the hiring manager after you apply can get your application read sooner.

ATS check

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