Senior Data Engineer

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 Capgemini is seeking an experienced Data Engineer to support a strategic Financial Services engagement. This role will be responsible for developing scalable data solutions, building and maintaining data pipelines, optimizing data processing workflows, and supporting enterprise reporting and analytics initiatives. The ideal candidate will have strong hands-on experience in SQL, ETL/ELT development, data modeling, and cloud-based data platforms, with a proven track record of delivering scalable and reliable data solutions.Responsibilities: Design, develop, and maintain scalable ETL/ELT pipelines Build and optimize data integration solutions across multiple source systems Develop complex SQL queries, stored procedures, and transformation logic Create and maintain logical and physical data models Perform data mapping, validation, reconciliation, and quality assurance activities Support cloud-based data warehouse and analytics platforms Work with AWS Aurora PostgreSQL, Amazon Redshift, PostgreSQL, and Oracle databases Troubleshoot and resolve data quality, performance, and integration issues Document data flows, mappings, transformation rules, and technical specifications Partner with business and technical stakeholders to translate requirements into scalable data solutions Support reporting, analytics, and business intelligence initiatives Required Qualifications 6-10 years of Data Engineering experience Strong SQL development and query optimization skills Experience developing and supporting ETL/ELT solutions Experience building and maintaining enterprise data pipelines Strong data modeling and data management experience Experience with AWS data platforms, including Aurora PostgreSQL and Amazon Redshift Experience with PostgreSQL and Oracle databases Experience supporting enterprise data warehouse environments Strong analytical, troubleshooting, and problem-solving skills Excellent communication and collaboration skills Preferred Qualifications Experience within Financial Services environments Experience supporting BI and reporting solutions Tableau experience Data governance and data quality experience Exposure to cloud-based analytics platforms and modern data architectures What You'll Bring Ability to work independently and within cross-functional teams Strong attention to detail and focus on data quality Experience delivering reliable, scalable, and high-performance data solutions Ability to translate business requirements into technical data solutions Compensation & Benefits Base salary up to $118,000 Target annual bonus of 15% Comprehensive medical, dental, vision, life insurance, and retirement benefits Paid time off and holidays Career development opportunities within a global technology and consulting organization Additional Information Location: New York Metro Area Candidates must be authorized to work in the United States now and in the future. Capgemini is unable to provide sponsorship for this position. Skills Data Engineering SQL ETL ELT Data Pipelines Data Modeling Data Management AWS Amazon Redshift Aurora PostgreSQL PostgreSQL Oracle Data Warehousing Data Integration Query Optimization Data Validation Data Quality Tableau Financial Services The base compensation range for this role in the posted location is: 100,000 to 118,000 / 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.