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Capgemini

Data Engineer - Snowflake

Houston, TX, TX, United States

The base compensation range for this role in the posted location is: $76,730 - $150,800.

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Job details

Pay: The base compensation range for this role in the posted location is: $76,730 - $150,800.
Apply by: Nov 11, 2026
Posting language: English
Posted: Nov 6, 2026

Original job 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 job you're considering

We are seeking a highly skilled Senior Data Engineer to design, build, optimize, and maintain scalable cloud-based data platforms. The ideal candidate will have strong expertise in Snowflake, modern data warehousing, ETL/ELT development, cloud technologies, and data modeling. This role will partner closely with business stakeholders, analysts, data scientists, and engineering teams to deliver reliable, high-performance data solutions that support reporting, analytics, and advanced data initiatives.

Your role

Design, develop, and maintain scalable data pipelines and data integration solutions.
Build and optimize data warehouse solutions using Snowflake.
Develop ETL/ELT processes to ingest, transform, and load data from various source systems.
Implement data modeling techniques including dimensional modeling and star schema design.
Optimize Snowflake performance, storage, and cost management.
Ensure data quality, integrity, governance, and security across the data platform.
Collaborate with business users, analysts, and architects to gather requirements and deliver data solutions.
Troubleshoot and resolve data pipeline and performance issues.
Support CI/CD deployment processes and infrastructure automation.
Mentor junior engineers and promote data engineering best practices.
Participate in architecture reviews and technology evaluations.

Skills and experience

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
5+ years of experience in Data Engineering, Data Warehousing, or BI Engineering.
3+ years of hands-on Snowflake experience.
Strong SQL development and query optimization skills.
Experience building large-scale ETL/ELT pipelines.

• Ability to design and implement AI-enabled data solutions within Snowflake using Cortex capabilities for natural language querying, semantic search, document processing, text analytics, and generative AI applications.

Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Proficiency in Python for data engineering and automation.
Experience with data modeling and warehouse design.
Strong understanding of data quality, data governance, and security principles.

The base compensation range for this role in the posted location is: $76,730 - $150,800.

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.

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More about this job

Skills

Snowflake
Data warehousing
Data engineering
Cloud technologies
Data modelling
Reporting
Data warehouse
Cost management
Troubleshoot
CI/CD
Computer science
SQL
AWS
Microsoft Azure
Google Cloud
Python
Onboarding

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