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# C#/.NET and Data Engineer

- **Company:** Northern Base
- **Location:** Bellevue, WA, United States
- **Contract:** Permanent contract
- **Skills:** ASP.NET, .NET Framework, Microsoft Azure, Big Data, C Sharp (Programming Language), Code Review, Information Engineering, Data Governance, Software Debugging, Distributed Computing Environment, Object-Oriented Software Development, Performance Tuning, Software Engineering, PL-SQL, Software Organization, Cloud Platform System, Data Ingestion, Apache Spark, Backend, Data Management, Restful APIs, Data Pipelines, Databricks
- **Published:** November 3, 2026
- **Apply:** https://www.thejobnetwork.com/job/f27df834-3e4b-4605-ae54-82ae4187e200/cnet-and-data-engineer

## About the Role

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 anyCosmos; ADLS Gen1/Gen2

## Description

Job DescriptionJob DescriptionMust Have Technical/Functional SkillsData Engineering; PL/SQL; ADF; Digital : Azure Databricks; ASP.NET 2.0; C# 4.0 Roles & ResponsibilitiesSoftware 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 EngineeringExperience 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