Cobol Developer

COBOL DeveloperChoosing 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.Location: Dearborn, MIJob SummaryWe are seeking an experienced Mainframe/COBOL Developer to support a critical legacy insurance platform (CPS) and assist with data preparation activities for migration to Google Cloud Platform (GCP). The resource will work on extracting, analyzing, transforming, and validating data from mainframe systems for Data Lake consumption and support the broader CPS modernization and cloud migration program.Key ResponsibilitiesAnalyze and process mainframe flat files and COBOL copybooks, including complex redefined structures. Extract, unpack, transform, and validate data for ingestion into Google Cloud Platform (GCP) and Data Lake environments. Collaborate with business and technical teams to understand legacy data structures and transformation requirements. Create data mapping, reconciliation, and validation documentation. Support data migration, conversion, and testing activities. Assist in the modernization and migration of legacy CPS applications to GCP. Troubleshoot data quality and conversion issues throughout the migration lifecycle.Required Skills7+ years of experience in Mainframe Development. Strong hands-on experience with: COBOL JCL VSAM DB2 Flat file processing COBOL Copybooks (including multiple redefined copybooks) Experience analyzing and transforming large volumes of legacy data. Strong understanding of data migration and conversion methodologies. Experience with data validation and reconciliation activities. Excellent analytical and problem-solving skills.Preferred SkillsInsurance domain experience (Claims and Policy Administration systems preferred). Experience supporting legacy modernization initiatives. Exposure to Cloud platforms, preferably Google Cloud Platform (GCP). Experience working with Data Lakes, ETL, and data transformation frameworks. Familiarity with mainframe-to-cloud migration programs.The base compensation range for this role in the posted location is: $90000 to $118665 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. 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.