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C# & .NET

⬢ TIER 2Tech
High
Salary impact
14 months
Time to learn
Hard
Difficulty
—
Careers
TL;DR

C# .NET is Microsoft's mature framework for web APIs (ASP.NET Core), cloud services (Azure Functions, App Service), enterprise applications (WPF, WinForms), and game development (Unity). Career path: Junior ($75-105k, C# basics + ASP.NET Core) → Mid ($105-140k, microservices + Docker + Azure services) → Senior ($140-180k, CQRS + performance optimization + architecture). Salary jump: +$25-60k. Learning: 12-14 months. Tools: .NET 9, ASP.NET Core, EF Core, Blazor, Azure, NuGet, Visual Studio, Rider. Prerequisites: backend fundamentals, OOP, SQL.

What is C# & .NET

Microsoft's modern, cross-platform framework for building web APIs, desktop apps, games (Unity), and cloud services. Powers Azure ecosystem and enterprise Windows applications. Learning Curve: Medium-Hard (rich ecosystem, Windows legacy)

🔧 TOOLS & ECOSYSTEM
.NET 9ASP.NET CoreEntity Framework Core (EF Core)BlazorMAUI (Mobile/Desktop)Azure FunctionsNuGetVisual Studio 2024JetBrains RiderxUnitMoqPolly

💰 Salary by region

RegionJuniorMidSenior
USA$95k$135k$170k
UK£55k£80k£115k
EU€60k€85k€125k
CANADAC$100kC$140kC$180k

❓ FAQ

.NET 9 vs Node.js for APIs — which should I learn?
.NET 9 wins for large enterprise teams (Azure ecosystem, strong typing, Enterprise support contracts). Node.js wins for startups (faster iteration, JavaScript everywhere, smaller team). For salary: .NET premiums in finance/healthcare/Fortune 500. For hiring ease: Node.js larger pool. For learning: Node.js faster (3-6mo), .NET deeper (12-18mo). Pick .NET if your market is enterprise; Node.js if startup-heavy.
Blazor vs React/Vue — WebAssembly vs JavaScript frameworks?
Blazor: write C# in the browser, no JavaScript needed, full .NET ecosystem. Best for: large enterprise teams already invested in C#/.NET. React/Vue: larger ecosystem, easier to hire, JavaScript-first. Blazor cold starts slower (WebAssembly), but once loaded, no JS framework overhead. In 2026, Blazor adoption in .NET shops ≈25%; React/Vue dominate. Pick Blazor if org is 100% .NET and wants to eliminate JavaScript engineers; otherwise pick React.
EF Core vs Dapper vs raw SQL — data access patterns?
EF Core: ORM, easier to read, slower queries for complex joins. Dapper: micro-ORM, 2x faster, more SQL control, less overhead. Raw SQL: fastest, most control, highest maintenance. Most teams: EF Core for CRUD apps + Dapper for hot paths (reporting queries). Never raw SQL unless benchmarked. EF Core 8+ (Expression evaluators) closed the performance gap to ~10% for most queries.
Microsoft-only tech stack vs cross-platform .NET — employer lock-in?
.NET Core (now .NET 9) is cross-platform (Linux/macOS/Windows). But the ecosystem still tilts Microsoft: Azure cloud, Visual Studio IDE (Rider alternative pricey), SQL Server (PostgreSQL cheaper but loses Integration Services). Job market: .NET jobs 70% enterprise Windows shops, 30% cross-platform startups/AWS. For lock-in risk: use PostgreSQL + Linux containers to future-proof; avoid SQL Server-specific features.
Azure-first reality — can I use .NET without Azure?
Yes. .NET runs on any cloud (AWS, GCP, Heroku). But documentation + tools assume Azure (App Service, Functions, Cosmos DB). Learning curve steeper off Azure. Most enterprise jobs = Windows + SQL Server + Azure bundle (legacy stack). Upside: if org already on Azure, .NET is the path of least resistance. Downside: if you pick AWS, Node.js/Python more idiomatic.
Game development with Unity — do I need C# .NET?
C# scripting YES (core language for Unity). .NET framework/ASP.NET Core NO (not relevant to game dev). Unity uses Mono/.NET runtime compiled for game targets. Multiplayer backends: write in ASP.NET Core (separate from client C#). Career: C# gaming ≈35% of C# jobs, pays $90-140k, combines graphics + gameplay logic + backend.
AI/ML in .NET — ML.NET and Semantic Kernel?
ML.NET: Microsoft's scikit-learn equivalent, autoML, easier than raw TensorFlow. ONNX Runtime: run trained models. Semantic Kernel: LLM orchestration (ChatGPT/Claude integration). Growing but still behind Python. For AI jobs in .NET: expect legacy financial prediction, not cutting-edge research. If AI is your goal, Python first; C# for production serving of Python models.

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