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# Cobol Developer

- **Company:** Capgemini
- **Location:** Dearborn, MI, United States
- **Experience:** Expert
- **Salary:** $90,000.0 - $118,665.0
- **Contract:** Permanent contract
- **Skills:** Cloud Computing, COBOL (Programming Language), Data Validation, Data Cleansing, Extract Transform Load (ETL), Data Mapping, Data Transformation, Data Migration, Data Structures, IBM DB2, File Systems, Job Control Language (JCL), Mainframes, Virtual Storage Access Methods, Google Cloud, Data Lakes
- **Published:** August 19, 2026
- **Apply:** https://www.capgemini.com/jobs/536596-en_US_SAPBTP/x/

## About the Role

* 7+ 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 Skills

 * Insurance 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.

## Description

We 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., * Analyze 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.


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