Senior Data Engineer

idahopowercompany; Boise (ID); Hybrid; USD 130,000 - 157,000; Full time

Benefits offered by this job

Flexible schedules

Remote up to 40%

401k employer-match

Pension plan

Employee incentive plan

Job summary

Idaho Power in Boise, Idaho, is seeking a Senior Data Engineer to join our Information Technology team. You will design, develop, and support enterprise data solutions that enable trusted analytics, operational decision-making, and emerging AI capabilities.

Leads technical delivery for assigned projects, builds scalable pipelines, data products, analytical datasets, and semantic models. This role offers flexible schedules and up to 40% remote work, competitive pay and benefits, an employee

Qualifications

• Bachelor's degree in computer science, information systems, data science, engineering, or a related field; or equivalent education/experience.
• 5 years of experience in data engineering, BI, cloud data platforms, data architecture, or related discipline; utility domain preferred.

Responsibilities

• Design, develop, and support complex enterprise data solutions enabling analytics and AI capabilities.
• Lead technical delivery for projects, build scalable pipelines, data products, and semantic models.
• Partner with business and technology stakeholders to translate processes into governed information assets.
• Provide technical guidance while contributing to architecture decisions and platform modernization.

Skills

Data architecture

ETL/ELT

Data architecture patterns

Relational/Distributed data

Dimensional modeling

Data governance

SDLC / CI/CD

Utility domain

Advanced SQL

Python development

Data pipelines

Root cause analysis

Azure DevOps

Git

Automated testing

CI/CD

Technical design

Technical leadership

Synapse

Azure Data Factory

Power BI

Project leadership

Solution design

Architecture standards

Problem solving

Communication

Mentoring

Prioritization

Utility domain knowledge

Education

Bachelor's degree in computer science, information systems, data science, engineering, or related field

Equivalent education/experience

Tools

Synapse

Azure Data Factory

Power BI

Azure DevOps

Git

Job description

Application Deadline: 10/30/2026 at 11:59 pm Mountain Time

# of Positions: 1

Job Type: Regular

Exemption Status: Exempt

Pay Range: $130,062.40 - $156,644.80 Annual

Job Description

Idaho Power - located in vibrant Boise, Idaho - is looking for a Senior Data Engineer to join our Information Technology team. It's an exciting time to work for Idaho Power. Our work plays a critical role in communities we serve across Idaho and Oregon, and we're working hard to safely provide our customers with the safe, reliable, and affordable energy they depend on. While this position is based at Idaho Power's downtown Boise location, we offer both flexible schedules and the opportunity to work up to 40% remote. In addition to the meaningful work we do, we offer work-life balance, competitive pay and benefits, an employee incentive plan, and both a 401k employer-match and a pension plan, making Idaho Power one of the best employers in the state.

What does a Senior Data Engineer do for us?

They design, develop, and support complex enterprise data solutions that enable trusted analytics, operational decision-making, and emerging artificial intelligence capabilities. Leads technical delivery for assigned projects, builds scalable pipelines, integration frameworks, data products, analytical datasets, and semantic models, and partners with business and technology stakeholders to translate processes into secure, reliable, reusable, governed information assets. Provides technical guidance while contributing to architecture decisions, platform modernization, and engineering improvements.

A COMPETITIVE CANDIDATE WILL HAVE

• Knowledge of: Enterprise data architecture, integration patterns, and modern cloud data platform design
• ETL/ELT and data-processing technologies
• Medallion, Lakehouse, and Warehouse architecture patterns
• Relational and distributed data systems
• Dimensional modeling and semantic model design
• Data governance, metadata, lineage, quality, and stewardship
• Software development lifecycle practices including Agile, source control, automated testing, and CI/CD
• Preferred: Utility industry processes and data domains

• Skills in: Advanced SQL and Python development, including query and workload performance optimization
• Designing enterprise data pipelines, integration frameworks, analytical datasets, semantic models, and reusable data products
• 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
• Technical leadership, stakeholder collaboration, and mentoring
• Preferred: Hands-on use of Microsoft Synapse, Microsoft Fabric, Azure Data Factory, Power BI, or comparable enterprise data and analytics technologies

• Ability to: Lead technical delivery of complex enterprise data solutions within assigned projects
• Translate business processes into scalable, secure, reliable, and maintainable solutions
• Apply architecture patterns and engineering standards while contributing to design and architecture decisions
• Evaluate alternatives, resolve complex issues, and identify improvements
• Communicate complex concepts and build alignment across technical and non-technical stakeholders
• Mentor peers and guide project-level technical execution
• Manage multiple priorities while working independently and collaboratively
• Preferred: Apply knowledge of utility processes and data domains to complex enterprise data solutions

MINIMUM REQUIREMENTS

Education:

• Bachelor's degree in computer science, information systems, data science, engineering, or a related field
• OR An equivalent combination of education and experience

Experience:

• 5 years of experience in data engineering, business intelligence, cloud data platforms, data architecture, database development, or a related discipline
• Preferred: Experience with utility industry processes or data domains

PHYSICAL REQUIREMENTS

This position requires working at a desk/computer for extended periods of time. It requires the use of office equipment, fine motor skills including typing on the computer, dialing phones, filing paper, and working in close proximity to other people. There may be occasional lifts of no more than 10 lbs. The above is a summary of the primary essential functions of the position. This job may require the performance of additional tasks assigned by company leaders or management. Questions regarding job requirements or accommodation requests should be directed to Human Resources.

Competencies

• Adaptability
• Building Partnerships
• Collaborating
• Communication
• Customer Focus
• Planning and Organizing
• Work Standards

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