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# Data/DevOps Engineer

- **Company:** American CyberSystems
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Salary:** $104,000.0 - $110,240.0
- **Contract:** Permanent contract
- **Skills:** Data Integration, Data Structures, DevOps, Operational Data Store, Simple Data Format, Software Deployment, System Integration Testing, Data Analytics, Data Management, Data Pipelines
- **Published:** August 21, 2026
- **Apply:** https://public-rest34.bullhornstaffing.com/rest-services/2WXP1S/query/JobBoardPost?where=id=1022978&fields=id,title,publishedCategory(id,name),address(city,state),employmentType,dateLastPublished,publicDescription,isOpen,isPublic,isDeleted

## About the Role

The ideal candidate will have: 5+ years of experience in Data Integration and DevOps Engineering and experience working with Financial Services industry clients.

## Description

Must have required skills -DevOps Engineer, Data Integration Engineering, Cash Data Analytics, Financial services industry background

Primary Skill Required for the Role:

 * Design, develop, and maintain data integration solutions to extract financial and operational data from multiple enterprise source systems for delivery to the analytics platform

 * Analyze source system data structures and collaborate with Business Analysts to implement source-to-target mappings and transformation logic, * Build and maintain scheduled batch processes and data pipelines to support recurring data deliveries
 * Implement data quality validations, reconciliation checks, and exception handling to ensure accuracy and completeness of outbound data
 * Partner with business stakeholders and data owners to understand source system data, business rules, and reporting requirements
 * Collaborate with vendor implementation teams to validate file formats, data mappings, and integration requirements
 * Support System Integration Testing (SIT), User Acceptance Testing (UAT), and production deployment by resolving integration defects and validating data outputs
 * Troubleshoot data quality issues, investigate discrepancies, perform root cause analysis, and implement corrective actions


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