Lead Data Engineer

Lead Data Engineer### Lead Data Engineer Apply:
Boise, :
Full time:
Posted Yesterday:
R0005036## *
* * If you are a current Idaho Power employee, please apply through the
* * Employee Portal.
*** Final date to receive applications:
** 11/06/2026 at 11:59 pm Mountain Time**# of Positions:
** 1
* * Job Type:
** Regular
* * Job End Date:
**** Exemption Status:
** Exempt
* * Pay Range:**$ -  Annual
** Minimum Age Requirement:
***
* Job Description:

** Idaho Power — located in vibrant Boise, Idaho — is looking for a
* Lead Data Engineer,
* also referred to as a Lead Data Solutions Developer, to join our Information Technology (IT) 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 provide our customers with safe, reliable, affordable energy they depend on.
** What does a Lead Data Engineer do for us?
** They provide enterprise-level technical direction for data platforms, solutions, and engineering practices that enable trusted analytics, operational decision-making, and emerging artificial intelligence capabilities. They lead architecture stewardship, define standards and reusable patterns, guide platform modernization, and translate strategic business needs into scalable, governed, secure, and sustainable data solutions. They also exercise leadership through technical direction, coaching, mentoring, facilitation, and influence across teams without direct  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.
** A COMPETITIVE CANDIDATE WILL HAVE
**** Knowledge of:*
* · Enterprise data architecture, integration patterns, dimensional modeling, and modern cloud data platform design
· ETL/ELT, orchestration, and data-processing technologies
· Medallion, Lakehouse, and Warehouse architecture patterns
· data governance, metadata, lineage, quality, stewardship, and information lifecycle practices
· data security and access control
· software development lifecycle practices including Agile, source control, automated testing, and CI/CD
** Preferred:
** o   Utility industry systems, regulations, business processes, and data domains
** Skills in:*
* · Advanced SQL and Python development, database design, query optimization, and performance tuning
· Design of scalable pipelines, integration frameworks, reusable components, and orchestration solutions
· Definition of technical standards, reference architectures, and reusable patterns
· Evaluation of platform capabilities, architectural tradeoffs, technical risks, and emerging technologies
· Leadership of architecture, design, and code reviews
· Resolution of complex production, data quality, and performance issues
· Azure Dev Ops, Git, automated testing, deployment automation, and CI/CD
· Executive and technical communication
· Consensus building
· Mentoring·
Management of competing priorities
** Preferred:
** o   Hands-on use of Microsoft Synapse, Microsoft Fabric, Azure Data Factory, Power BI, or comparable enterprise data and analytics technologies
** Ability to:*
* · Provide enterprise-level technical leadership and direction for data platforms, solutions, and engineering practices
· Translate strategic objectives into scalable, secure, reliable, maintainable, and cost-effective solutions
· Balance business value, architecture, security, performance, cost, and delivery risk
· Identify systemic challenges and lead resolution of critical issues
· Influence decisions and build consensus
· Communicate strategies, risks, and recommendations across varied audiences
· Coach engineers
· Guide platform modernization
·…