C#/.NET and Data Engineer

Northern Base
Redmond, WA, United States
11 days ago
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Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

ASP.NET JavaScript (Programming Language) .NET Framework Microsoft Azure Big Data C Sharp (Programming Language) Cloud Engineering Code Review Information Engineering Data Governance Software Debugging Distributed Computing Environment
+15 more
Object-Oriented Software Development Performance Tuning Software Engineering PL-SQL TypeScript Software Organization Cloud Platform System Data Ingestion Apache Spark Backend Data Management Restful APIs Data Pipelines Databricks Microservices

Job description

Senior Backend Engineer - C# / .NET / Azure Remote (Possible relocation to the UAE) Working Hours: 6 hours aligned to Working Hours in the UAE Employment Type: Full-time Sa…

  • 17 days ago, Backend Engineer - C# / .NET Remote (Possible relocation to the UAE) Working Hours: 6 hours aligned to Working Hours in the UAE Employment Type: Full-time Salary: AED 240,00…
  • 17 days ago, Position: .NET Full-Stack Engineer Location: Redmond, WAOnsite Duration: 1 Year Job Description: Key Skills Required C#, .NET JavaScript / TypeScript React SQ…
  • 20 hours ago
  • Apply easily +

Requirements

Data Engineering; PL/SQL; ADF; Digital : Azure Databricks; ASP.NET 2.0; C# 4.0 Roles & Responsibilities Software Engineering (C#/.NET) Strong experience designing, developing, and maintaining production-grade applications and services using C# and modern .NET technologies. Proficient in building scalable, reliable, and high-performance backend systems, REST APIs, and microservices. Experienced in software development best practices including object-oriented design, code reviews, testing, debugging, and CI/CD automation. Skilled in troubleshooting complex production issues and delivering robust solutions in enterprise environments. Familiar with cloud-native application development and integration with Azure services. Data Engineering Experience working with large-scale datasets, data platforms, and end-to-end data engineering solutions. Proficient in building, optimizing, and supporting data pipelines for data ingestion, transformation, and analytics workloads. Hands-on experience with distributed data processing technologies and modern analytics ecosystems. Familiarity with Databricks, Apache Spark, and cloud-based data platforms for handling high-volume and high-velocity data. Understanding of data governance, data quality, performance optimization, and scalable data architecture principles. Generic Managerial Skills, If any Cosmos; ADLS Gen1/Gen2

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

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Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

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Introduction to ASP.NET Core and the ABP framework

Alper Ebicoglu Alper Ebicoglu · World Congress 2025

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Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

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Choosing TypeScript for complex backend applications

Maximilian Otto Maximilian Otto · World Congress 2024

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Bootstrapping a test-driven asp.net web api

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