Data Engineer-Kiewit Nuclear Solutions 1 Job Details | Kiewit

Kiewit is a leading construction and engineering company, and they are seeking a Data Engineer to support their Nuclear Solutions division. This role involves developing enterprise-grade analytics solutions and collaborating with various teams to deliver production-grade BI solutions that enhance operational decision-making.

Responsibilities:

• Develop interactive dashboards for project and field use
• Implement row-level security (RLS), object-level security (OLS), and governance standards
• Deploy and manage solutions within Power BI capacities
• Configure and optimize data gateways
• Manage workspaces, deployment pipelines, and versioning strategies
• Design and develop scalable Power BI datasets using modeling best practices
• Build optimized semantic models supporting enterprise-scale reporting
• Implement incremental refresh, aggregation tables, composite models, and DirectQuery/Import hybrid architectures
• Engineer high-performance DAX measures for complex business logic
• Troubleshoot and refactor poorly performing models
• Contribute to enterprise data standards and BI best practices
• Work with data engineers to define optimized data contracts
• Analyze and troubleshoot end-to-end data pipelines
• Contribute to ELT design patterns across: Azure Data Lake (ADLS Gen2), Azure Databricks (Spark / PySpark / Spark SQL), Azure Data Factory, SQL Server / Azure SQL
• Ensure datasets are structured for performance, scalability, and reusability

Requirements:

• Strong PowerBi experience is required including PowerBI Premium or Embedded
• Programming: Expert level SQL, PL/SQL, Experienced Python skills (with a strong track record of optimizing complex Power BI models for performance and scalability)
• Proficient in writing advanced / complex SQL, expertise in optimization of SQL queries preferred
• Familiarity with the EPC industry required (Engineering or Construction)
• Experience in troubleshooting and working with various teams in resolving issues / solving complex problems
• Proven ability to understand complex business rules and processes and then build integration processes and database views to represent those rules and processes
• Excellent written and strong oral communication skills
• Understanding of ETL fundamentals and solutions
• Should be proficient in writing advanced / complex SQL, expertise in performance tuning and optimization of SQL queries required
• Experience in Python/Pyspark and Spark SQL (primary languages used in our solutions)
• Experience in troubleshooting data issues and analyzing end to end data pipelines
• Strong experience developing data analytics and visualizations with transformation and aggregation from multiple formats for analyzing and uncovering insights / intelligence for project teams
• Familiar with source control and version control systems
• Experience with creation of technical documentation for Functional Requirements, Scope documents, Technical Design, and Business Process Modeling etc
• 8+ years of experience in BI / data analytics
• 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. Work overtime and weekends as required
• Preferred experience in secondary tools such as Azure Databricks, Visual studio, Azure Data Factory, etc