Senior .NET Backend Engineer - Data & Azure Platforms

MW Consulting; United States; Hybrid; USD 36.000 - 46.000; Vollzeit

Zusammenfassung

Avanade is seeking a Backend .NET Developer with Data Platform experience to design and build modern backend applications and services using .NET and Microsoft Azure. You will contribute to data-driven solutions by integrating backend services with platforms such as Microsoft Fabric or Databricks.

You will design and maintain reliable backend systems, build REST APIs, integrate with data platforms, and develop data pipelines using Python and SQL.

Qualifikationen

• 3+ years of commercial software development with C# and .NET, building back-end apps and APIs.
• Experience designing and integrating REST APIs and distributed services.
• Practical experience with Microsoft Azure and cloud apps.
• Experience with relational databases (SQL Server/Azure SQL).
• Knowledge of testing, clean code, patterns and modern architecture.
• CI/CD pipelines using Azure DevOps or GitHub Actions.

Aufgaben

• Design, develop and maintain backend apps and services using C#, .NET and Azure.
• Build and integrate REST APIs and distributed services.
• Integrate with data platforms like Microsoft Fabric or Databricks.
• Develop data pipelines, transformations and integration logic.
• Work with Python and SQL for data processing.
• Collaborate with stakeholders to refine requirements.
• Contribute to AI-enabled solutions where relevant.

Kenntnisse

C#

ASP.NET Core

Azure

REST APIs

SQL

CI/CD

Python

Data platforms

Agile

English

Tools

Azure DevOps

GitHub Actions

Jobbeschreibung

Avanade is seeking a Backend .NET Developer with Data Platform experience to design and build modern backend applications and services using .NET and Microsoft Azure. You will contribute to data-driven solutions by integrating backend services with platforms such as Microsoft Fabric or Databricks.

You will design and maintain reliable backend systems, build REST APIs, integrate with data platforms, and develop data pipelines using Python and SQL.