.NET Developer with Data

MW Consulting; United States; Hybrid; USD 36,000 - 46,000; Full time

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

C#

ASP.NET Core

Azure

REST APIs

SQL

CI/CD

Python

Data platforms

Agile

English

Tools

Azure DevOps

GitHub Actions

Job description

We’re looking for specialists open to cooperate on B2B basis, for our customer – Avanade Poland.

Avanade website; Privacy policy

This role is available for specialists open to work remote (within Poland) or in hybrid mode (offices in Wroclaw and Krakow).

Position:

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

You will:

• Design, develop and maintain reliable, maintainable and well-tested backend applications and services using C#, .NET and Microsoft Azure

• Build and integrate REST APIs, distributed services and data-driven applications

• Integrate backend services with modern data platforms such as Microsoft Fabric or Databricks

• Contribute to the development of data pipelines, data transformations and data integration solutions

• Develop data processing, automation and integration logic using Python and SQL

• Work with relational databases and modern data architectures, including data lake, lakehouse and data warehouse solutions

• Build and maintain CI/CD pipelines using Azure DevOps or GitHub Actions

• Work directly with technical and business stakeholders to understand and refine requirements

• Collaborate closely with distributed project teams using Agile methodologies

• Contribute to AI-enabled solutions where relevant, particularly integrations between backend services, data platforms and Microsoft Azure AI services

Required skills:

For this role, you will need:

• At least 3 years of commercial software development experience using C# and .NET, including building back-end applications and APIs using ASP.NET Core

• Experience designing and integrating REST APIs and distributed services

• Practical experience with Microsoft Azure and cloud-based application development

• Experience with relational databases (e.g. SQL Server / Azure SQL)

• Knowledge of automated testing, clean code principles, design patterns and modern software architecture

• Experience building or maintaining CI/CD pipelines using Azure DevOps or GitHub Actions

• Hands-on experience with at least one of the following data platforms:

  • Microsoft Fabric, including Data Factory, Lakehouse or related data workloads

  • Databricks, preferably Azure Databricks

• Practical experience using Python for data processing, automation or system integration

• Understanding of core data engineering concepts, including:

  • ETL and ELT

  • Data modelling

  • Data quality

  • Data lake, lakehouse and data warehouse architectures

  • Data governance

• English language skills at B2 level or higher, as English is used in daily communication

Nice to have:

• Practical knowledge of PySpark and Apache Spark concepts

• Experience with Data Factory (Microsoft Fabric or Azure) and lake storage such as OneLake, Azure Data Lake Storage Gen2 or Delta Lake

• Familiarity with Unity Catalog or similar data governance capabilities

• Experience with messaging and event-driven architecture, such as Azure Service Bus or Azure Event Hubs

• Familiarity with containerization and orchestration using Docker or Kubernetes

• Experience contributing to AI-enabled applications or data solutions, e.g. using Microsoft AI services or Copilot Studio

• Knowledge of frontend technologies such as React or Angular

If you want to ask any questions before applying, feel free to reach out via LinkedIn!