Software Engineer – Data Engineer (Multiple Openings)

Schweitzer Engineering Laboratories; Moscow (ID); On-site; USD 95,000 - 135,000; Full time

Job summary

Schweitzer Engineering Laboratories (SEL) is seeking a Software Engineer - Data Engineer for multiple openings based at its Moscow, Idaho headquarters. The role focuses on building data solutions that combine data science and software engineering to be secure, scalable, and well designed.

You will work with industry experts to develop data products and reporting models used across the organization, with regular on-site work at the Moscow office and no remote option.

Qualifications

• Experience designing and implementing data solutions across data platforms.

Responsibilities

• Create specifications, designs, implement and document a wide range of data solutions.
• Design normalized, relational and/or dimensional data models for OLTP and OLAP systems.
• Partner with stakeholders to build enterprise reporting models.
• Design, implement, and maintain data pipelines that move data from multiple sources while ensuring data is accurate, consistent, and secure.
• Administer and optimize data solutions to support performance and scalability.
• Develop solutions using SQL Server, Azure Data Factory, Azure SQL, Azure Stream Analytics, SSIS, SSAS, and Power BI Premium.

Skills

Data engineering

Data pipelines

Data modeling

Enterprise reporting

Data security

Tools

SQL Server

Azure Data Factory

Azure SQL

Azure Stream Analytics

SSIS

SSAS

Power BI Premium

Job description

Schweitzer Engineering Laboratories (SEL) is seeking a Software Engineer - Data Engineer for multiple openings based at its Moscow, Idaho headquarters. This role supports the development of data solutions that combine data science and software engineering principles, with an emphasis on building systems that are well designed, secure, and scalable.

SEL is an award winning company known for quality, reliability, integrity, and service. In this position, you will work alongside industry experts while helping develop data products and reporting models used across the organization.

What you'll do

• Create specifications, designs, implement and document a wide range of data solutions.
• Design normalized, relational and/or dimensional data models for OLTP and OLAP systems.
• Partner with stakeholders to build enterprise reporting models.
• Design, implement, and maintain data pipelines that move data from multiple sources while ensuring data is accurate, consistent, and secure.
• Administer and optimize data solutions to support performance and scalability.
• Develop solutions using technologies including SQL Server, Azure Data Factory, Azure SQL, Azure Stream Analytics, SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), and Power BI Premium.

Key details about the role

These positions are based at SEL's headquarters in Moscow, Idaho. The role requires regular on-site work at the Moscow office and does not permit remote work or work-from-home arrangements.

Company culture and approach

The SEL family of companies has earned a reputation built on quality, reliability, integrity, and service, with a focus on producing solutions that meet high standards.