Senior Data Engineer - Hybrid, Impactful Analytics Leader

Idaho Power Company; Boise (ID); Hybrid; USD 130,000 - 157,000; Full time

Job summary

Idaho Power, based in Boise, Idaho, seeks a Senior Data Engineer to join our Information Technology team. The role blends in-person work at downtown Boise with the flexibility to work up to 40% remotely.

You will design, build, and maintain enterprise data solutions to enable trusted analytics, decision-making, and AI capabilities. Ideal candidates bring advanced SQL and Python, strong experience with enterprise data pipelines, and hands-on familiarity with Synapse, Data Factory, and Power BI.

Qualifications

• Advanced SQL and Python development with performance optimization.
• Designing enterprise data pipelines, integration frameworks, and semantic models.
• Root cause analysis and resolution of complex data, performance, and production issues.
• Azure DevOps, Git, automated testing, deployment automation, and CI/CD.
• Translating complex requirements into technical designs and recommendations.

Responsibilities

• Design, develop, and support complex enterprise data solutions.
• Lead technical delivery for assigned projects and mentor peers.
• Build scalable pipelines, data products, and analytical datasets.
• Partner with stakeholders to translate processes into governed information assets.
• Contribute to architecture decisions and platform modernization.

Skills

SQL development

Python development

Data pipelines

Analytics

CI/CD

Mentoring

Architectural guidance

Tools

Microsoft Synapse

Azure Data Factory

Power BI

Microsoft Fabric

Job description

Idaho Power, based in Boise, Idaho, seeks a Senior Data Engineer to join our Information Technology team. The role blends in-person work at downtown Boise with the flexibility to work up to 40% remotely.

You will design, build, and maintain enterprise data solutions to enable trusted analytics, decision-making, and AI capabilities. Ideal candidates bring advanced SQL and Python, strong experience with enterprise data pipelines, and hands-on familiarity with Synapse, Data Factory, and Power BI.