Trainee Software Engineer (.NET, Angular) Offline

We invite an eager and proactive Software Engineer with .NET experience to join our team in developing a leading healthcare cost containment service offering affordable health insurance plans for self-insured employers, third-party administrators, commercial payers, and claim auditors. You'll help build the functionality of the platform that provides patient advocacy advice, a data analytics reporting tool, and accredited care management services.

🟩 What's in it for you:

• Join a dynamic U.S. health company recognized with the Health Value Award
• Gain hands-on experience with a modern tech stack (.NET, Angular, SQL Server, etc.)
• Get mentored by experienced colleagues eager to share their knowledge and support your growth

✅ Is that you?

• Strong knowledge of C# object-oriented programming
• Good understanding of relational databases, specifically MS SQL Server
• Ability to write maintainable, scalable code that adheres to the approved patterns and design principles
• Working knowledge of Git-based version control systems
• Ability to troubleshoot and debug complex defects with debugger and profiler tools (Microsoft Visual Studio)
• Familiarity with Microsoft IDEs, such as Visual Studio and Visual Studio Code
• Intermediate+ English level
• Proactivity, eagerness to learn, a strong sense of responsibility

Desirable:

• Hands-on experience with frontend technologies (Angular, JavaScript, React.js)
• Knowledge of Atlassian tools (Jira, Bitbucket, Confluence)
• Familiarity with REST APIs
• Experience with unit testing

🧩Key responsibilities and your contribution

In this role, you'll design, implement, and maintain systems responsible for updating regulatory data across several healthcare revenue cycle management products. You'll focus on automating processes, validating data, and managing ETL throughout the SDLC.

• Develop high-quality, object-oriented code using C#
• Develop importers (.NET) and custom scripts (SQL) for data loading
• Analyze datasets and collaborate with analysts to devise ways to ingest data from a large number of data sources
• Build automated data validation tools intended to work with problematic data sets
• Develop tools to automate data extraction from a variety of source types, from web crawling/scraping to PDF deconstruction