Web-Based Application Developer – .NET, SQL Server & Financial Reconciliation
Job Description:
We are seeking a skilled Web-Based Application Developer with strong experience in enterprise web application development, SQL Server, and financial reconciliation platforms. The ideal candidate will have hands-on experience with disputes/chargebacks, financial reconciliation processes, and Frontier or equivalent enterprise reconciliation software.
Key Responsibilities:
- Design, develop, enhance, and maintain enterprise web applications supporting financial reconciliation processes.
- Develop and maintain applications using ASP.NET Web Forms, ASP.NET MVC, C#, and the Microsoft technology stack.
- Design and optimize SQL Server databases, stored procedures, functions, triggers, and complex queries.
- Develop automated financial transaction matching, reconciliation workflows, and exception management processes.
- Troubleshoot application defects and resolve production issues.
- Work with finance, operations, and business teams to understand reconciliation requirements.
- Support data validation, ETL, database performance tuning, reporting, and audit-ready data extracts.
- Participate in the complete SDLC, including requirements analysis, development, testing, deployment, and production support.
- Mandatory Skills:
- ASP.NET Web Forms, ASP.NET MVC, and C#.Microsoft SQL Server, T-SQL, stored procedures, query optimization, and data manipulation.
- Hands-on experience with web-based enterprise applications.
- Experience with financial reconciliation systems and processes.
- Experience with disputes and chargebacks.3+ years of Frontier experience or equivalent enterprise reconciliation software experience – MUST HAVE.PowerShell scripting experience.
- Experience supporting applications in production environments.
- Good-to-Have Skills:.NET Core / .NET Framework.
- Azure cloud and Azure DevOps.
- REST APIs, Entity Framework, JavaScript, HTML5, CSS3, and Bootstrap.
- Git, CI/CD pipelines, IIS, SSIS, and SSRS.Power BI and experience handling large-volume transactional datasets.