Python & AWS Data Engineer

Capgemini; New York (NY); On-site; USD 86,000 - 127,000; Full time

Benefits offered by this job

Paid time off

Medical, dental, and vision coverage

401(k) retirement savings

Job summary

Capgemini is seeking a Senior Data Engineer to support enterprise data modernization initiatives in a multi-location onsite setting.

The role requires deep expertise in Python, AWS, and relational databases, plus experience with mainframe technologies (VSAM, DB2). You will drive end-to-end data migrations, ensure data integrity, and govern data quality while collaborating with stakeholders across Capgemini.

Qualifications

• Experience leading end-to-end data migration projects.
• Strong design skills for scalable cloud-based architectures.
• Proficiency with Python for data pipelines.

Responsibilities

• Lead end-to-end data migration efforts from planning to post-migration support.
• Analyze legacy VSAM/DB2 data and design transformations to modern RDBMS/AWS.
• Develop and maintain data pipelines using Python.
• Design and maintain data models (conceptual, logical, physical).
• Manage AWS RDS for high availability, performance, and security.
• Collaborate with stakeholders to translate requirements into data solutions.
• Ensure data governance and data quality compliance.
• Troubleshoot data issues and provide timely resolutions.
• Prepare technical documentation for models and migration workflows.

Skills

Python

AWS

Relational databases

VSAM

DB2

Data migration

Data governance

Data pipelines

Tools

AWS RDS

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 bya 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.

Onsite location : New York, Chicago & Atlanta

Job Description

Seeking a highly skilled and motivated Senior Data Engineer to support enterprise data modernization initiatives.

This role requires deep expertise in Python, AWS, and relational databases, combined with strong experience in mainframe technologies (VSAM, DB2).

The candidate will play a critical role in end-to-end data migration, transforming legacy data systems into modern, scalable cloud-based architectures while ensuring data accuracy, integrity, and governance standards.

Key Responsibilities

• Lead and execute end-to-end data migration efforts, including planning, design, execution, validation, and post-migration support.
• Analyze legacy data structures (VSAM, DB2) and design transformation strategies into modern RDBMS and AWS environments.
• Develop and maintain data pipelines and automation scripts using Python.
• Design, implement, and maintain data models (conceptual, logical, and physical).
• Manage and administer AWS RDS environments, ensuring high availability, performance optimization, and security compliance.
• Collaborate with business and technology stakeholders to gather and translate requirements into scalable data solutions.
• Ensure adherence to data governance, data quality, and compliance standards.
• Troubleshoot data-related issues and provide timely resolution.
• Prepare technical documentation for data models, migration workflows, and architecture designs.

The base compensation range for this role in the posted location is: $86129 to $127189

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.

Benefits

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.