Sr Software Engineer; Data Integration

We are seeking a Senior Software Engineer with a strong focus on data integration and backend development to build and scale enterprise data pipelines. This is a hands‑on role centered on C#/.NET console application development and ETL
, supporting high‑volume data movement into Azure Blob and Snowflake environments.

This is not a web/full‑stack role
—we’re looking for an integration‑focused engineer who can write code to connect systems, call APIs, and move large datasets across platforms.

• Senior‑level engineer who can own work independently and drive solutions end‑to‑end
• Background aligned to a Data Engineer / Integration Engineer with strong coding capability in C#
• Ability to design scalable integration solutions
  , not just execute tasks
• Comfortable working across teams and liaising with stakeholders when needed

• Design, build, and deploy C#/.NET console applications to connect to internal and external systems (APIs, SharePoint, SQL Server, etc.) and load data into Azure and Snowflake
• Develop and maintain ETL/data integration pipelines using SSIS (current state) and evolving tools like Azure Data Factory (ADF)
• Partner closely with reporting teams to source, transform, and deliver data required for analytics
• Integrate with multiple data sources and endpoints, ensuring efficient and scalable data movement (100M+ rows)
• Troubleshoot and optimize data pipelines, APIs, and integration processes
• Contribute to best practices, reusable components, and technical documentation
• Act as a senior‑level resource
  , supporting junior engineers and stepping in for leadership as needed

• C# / .NET (console application development) – must be able to build applications that connect to APIs and source systems
• SQL Server / SQL development – strong data querying and integration experience
• SSIS (ETL) – core requirement for current environment
• Experience building data pipelines and system integrations across multiple platforms
• Strong understanding of APIs, data movement, and backend data processing

• Python (growing need; used for data processing and integrations)
• Azure Data Factory (ADF) (newer tool, increasing adoption)
• Experience with Azure environments and Blob storage
• Snowflake exposure (team loads data; another team manages it)
• Familiarity with JSON, XML, and data exchange frameworks

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre‑tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked‑in state/locality.