> Markdown version of [/jobs/ext/4383273-lead-data-engineer](https://www.wearedevelopers.com/jobs/ext/4383273-lead-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Engineer - **Company:** Idaho Power Company - **Location:** Boise, ID, United States - **Experience:** Expert - **Salary:** $134,992.0 - $162,573.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Automation of Tests, Microsoft Azure, Code Review, Information Systems, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Security, Data Systems, Database Design, Database Development, Dimensional Modeling, Information Lifecycle Management, Python (Programming Language), Metadata, Performance Tuning, Query Optimization, Power BI, Cloud Services, Software Engineering, Enterprise Data Management, Data Processing, Cloud Platform System, Azure Data Factory, Sql Optimization, Data Strategy, Git, Microsoft Fabric, Information Technology, Deployment Automation, Integration Frameworks, Data Management, Azure Synapse Analytics, Software Version Control - **Published:** October 22, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3472111932&tx=YT909CTT&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * 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 DevOps, 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, * Bachelor's degree in computer science, information systems, data science, engineering, or a related field OR * Equivalent combination of education and experience Experience: * 8 years of experience in data engineering, business intelligence, cloud data platforms, data architecture, database development, or related discipline Preferred: o Experience with utility industry systems, regulations, business processes, or data domains, Adaptability, Building Partnerships, Collaborating, Communication, Customer Focus, Planning and Organizing, Work Standards ## Description 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 reports., * 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 * Anticipate future needs * Drive continuous improvement * Remain accountable for the health and evolution of enterprise data capabilities Preferred: o Apply knowledge of utility systems, regulations, business processes, and data domains to enterprise data strategy and solutions, 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., * If you don't remember your password, use the Forgot Password link to reset it and avoid being locked out. * After 5 unsuccessful login attempts , your account will be locked for 30 minutes before you can try again. * Password reset requests are limited to 5 per 24-hour period .