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2 results for Data Engineer in Charlotte, NC

Software Engineer
  • Huntersville, NC
  • onsite
  • Permanent
  • - USD / Yearly
  • <ul><li>Develop and maintain backend services and applications using C# and the .NET platform.</li><li>Design, write, and optimize complex SQL queries, stored procedures, and database schemas to support high-performance, data-intensive workflows.</li><li>Build and maintain APIs and service layers that integrate with relational databases and downstream systems.</li><li>Troubleshoot, analyze, and resolve application and data-related issues, including query performance and data integrity concerns.</li><li>Apply best practices for testing, version control, and deployment to ensure stability and reliability.</li><li>Collaborate with product, business, and technical stakeholders to translate data and system requirements into scalable technical solutions.</li><li>Contribute to architectural decisions, code reviews, and documentation to improve system quality and maintainability.</li></ul>
  • 2026-02-09T16:53:44Z
Product Owner
  • Harrisburg, NC
  • onsite
  • Permanent
  • - USD / Yearly
  • <ul><li>Own and maintain a technically detailed product backlog aligned to platform architecture and business priorities</li><li>Decompose high-level initiatives into epics, features, and user stories with clear technical acceptance criteria</li><li>Collaborate with architects and senior engineers on system design, integration patterns, and technical feasibility</li><li>Define and document functional and non-functional requirements, including performance, security, scalability, and reliability</li><li>Partner with DevOps teams to align backlog priorities with CI/CD pipelines, release strategies, and deployment schedules</li><li>Participate in technical design discussions, backlog refinement, sprint planning, reviews, and retrospectives</li><li>Manage dependencies across teams, services, and third-party integrations</li><li>Support API-first and event-driven development by defining contracts, payloads, and interface expectations</li><li>Validate completed work through story acceptance, integration testing coordination, and release sign-off</li><li>Support production readiness, including release notes, rollout planning, and post-deployment validation</li><li>Analyze production issues, defects, and technical debt to drive root-cause remediation and backlog prioritization</li><li>Use metrics such as velocity, cycle time, defect trends, and system performance to inform prioritization decisions</li></ul>
  • 2026-02-04T20:08:44Z