Software Engineer 2- Kiewit Technology Group

Kiewit • Papillion, NE

5d • Onsite

About The Position

Kiewit is seeking a Software Engineer to architect, design, and deliver enterprise-grade data and analytics solutions that support strategic initiatives across the technology organization. This highly technical role requires building strong partnerships with stakeholders throughout Kiewit's technology teams while leading the development and implementation of scalable data platforms, analytics products, and data strategy initiatives. The ideal candidate combines deep technical expertise in data architecture and engineering with strong communication and leadership skills. They will leverage modern development practices, including AI-assisted engineering tools, to improve productivity, code quality, solution reliability, and delivery velocity while driving innovation across the organization. Kiewit Technology Group (KTG) builds solutions to enable and support a $16 billion company. Our mission is to deliver project schedule and cost certainty by employing technology designed by and for the construction industry. Our team deploys technology solutions to the field and home office departments that increase profitability by maximizing the way we use our people and resources in daily operations. KTG uses systems and tools that manage every part of Kiewit’s business and lifecycle of a project to improve planning and day-to-day execution in the field by giving our people real-time data to make faster, smarter decisions. When you join KTG, you will make an impact on the critical work we do every day.

Requirements

• Advanced SQL and PL/SQL expertise, including performance tuning and query optimization.
• Strong Python skills for data engineering, automation, and analytics development.
• Experience building and optimizing enterprise-scale Power BI datasets and semantic models.
• Ability to translate complex business requirements into scalable data solutions and integrations.
• Familiarity with Azure data technologies, including Databricks, Data Factory, and related tools.
• Solid understanding of ETL/ELT processes, data modeling, and data warehousing principles.
• Strong communication and collaboration skills.
• Regular, reliable attendance
• Work productively and meet deadlines timely
• Communicate and interact effectively and professionally with supervisors, employees, and others individually or in a team environment.
• Perform work safely and effectively. Understand and follow oral and written instructions, including warning signs, equipment use, and other policies.
• Work during normal operating hours to organize and complete work within given deadlines.
• May work at various different locations and conditions may vary.

Nice To Haves

• AI-assisted engineering tools

Responsibilities

• Design and develop scalable Power BI datasets, semantic models, and analytics solutions.
• Create high-performance data models and DAX calculations to support business reporting.
• Implement advanced Power BI capabilities, including incremental refresh, aggregations, and hybrid architectures.
• Optimize, troubleshoot, and maintain data and analytics platforms.
• Develop AI-enabled solutions using Azure AI Foundry, Azure OpenAI, Claude, and other approved technologies.
• Integrate AI services with enterprise data, applications, and cloud environments.
• Monitor platform health and optimize performance, scalability, reliability, and cost.
• Partner with architects, developers, and business stakeholders to deliver innovative solutions.
• Ensure security, compliance, and governance standards are met.
• Mentor team members and contribute to technical best practices.

Benefits

• top-tier medical, dental and vision plans covering eligible employees and dependents
• voluntary wellness and employee assistance programs
• life insurance
• disability
• retirement plans with matching
• generous paid time off

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed