Design, build, and optimize scalable cloud-based batch and streaming data pipelines on Google Cloud Platform using Python, BigQuery, Dataflow, Pub/Sub, and Cloud Composer (Airflow), supporting analytics, AI/ML, and enterprise reporting. Must be authorized to work in the US without sponsorship.
Compensation
$115K–$145K / yr
Location
Not listed
Work setup
Not specified
Seniority
Not specified
Employment
Full time
Experience
2+ years
Category
Data engineering
Posted
Skills
accessibility
agentic-ai
ai
airflow
analytics
automation
bash
bigquery
ci-cd
cloud
cloud-composer
cloud-native
data-engineering
data-ingestion
data-lake
data-pipelines
data-warehousing
dataproc
elt
etl
event-driven-architecture
finops
gcp
generative-ai
iam
infrastructure-as-code
lakehouse
llm
machine-learning
observability
prompt-engineering
pyspark
python
root-cause-analysis
semantic-search
spark
sql
terraform
vector-search
vertex-ai
Must have
Authorized to work in the United States without current or future sponsorship
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
BigQuery
Dataflow
Dataproc
Pub/Sub
Cloud Functions
Cloud Composer (Airflow)
Cloud Storage
Cloud SQL
IAM
Cloud Monitoring
Cloud Logging
Bash/Shell scripting
Data Lake / Lakehouse architectures
Real-time streaming architectures
Nice to have
Experience with Vertex AI and Google AI services
Experience building AI/ML data platforms and pipelines
Knowledge of LLMs and GenAI concepts (Gemini, Agentic AI, Prompt Engineering, RAG, Vector Search)
Experience with 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
Full description
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.
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.
GCP Python Data Engineer at Capgemini — aijobsearch
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.
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.