C#/.NET and Data Engineer

S&K GLOBAL SOLUTIONS LLC
Bellevue, WA, United States
22 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

ASP.NET .NET Framework Microsoft Azure Big Data C Sharp (Programming Language) Cloud Engineering Code Review Information Engineering Data Governance Software Debugging Distributed Computing Environment Object-Oriented Software Development
+13 more
Performance Tuning Software Engineering PL-SQL Software Organization Cloud Platform System Data Ingestion Apache Spark Backend Data Management Restful APIs Data Pipelines Databricks Microservices

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.

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Good distractions

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

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Balancing data science skillings alongside systems engineering rigor

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Structuring and scaling the backend engineering team

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Choosing TypeScript for complex backend applications

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