Data Engineer-Kiewit Nuclear Solutions 1 (Remote, US)

Requisition ID: 180211 Job Level: Mid Level Home District/Group: Kiewit Nuclear Solutions Department: Technology Group Market: Nuclear Employment Type: Full Time Position Overview Kiewit is seeking a Power BI Developer to architect, design, and deliver enterprise-grade analytics solutions supporting complex EPC projects across the organization. This is a technical role that involves building strong relationships with project and discipline leads and deploying complex data strategies activities across Kiewit’s business functions. This role operates within the Digital Project Execution (DPE) team and will collaborate closely with data engineers, solution architects, project leadership, and technology teams to deliver production-grade BI solutions that drive operational decisions on major construction programs. District Overview This position is within the Kiewit Technology Group, supporting Kiewit Nuclear Solutions. Location This is a remote position that may require some travel. #LI-LH1 Responsibilities Power BI Development 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 Data Integration and Engineering Collaboration 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 Qualifications Technology stack Primary: Power BI Power BI Premium / Embedded Azure Databricks (PySpark, Spark SQL) Azure Data Lake Azure Data Factory SQL Server Snowflake Supporting: Python Git (source control) CI/CD deployment pipelines Data modeling and warehousing frameworks Required SKILLS AND ABILITIES 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. Preferred experience in secondary tools such as Azure Databricks, Visual studio, Azure Data Factory, etc. 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 in troubleshooting and working with various teams in resolving issues / solving complex problems. Proven ability to understand complex business rules and processes. Experience with creation of technical documentation for Functional Requirements, Scope documents, Technical Design, and Business Process Modeling etc. Industry Specific Experience: 8+ years of experience in BI / data analytics Other Requirements: • 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. • FIELD ROLES ONLY May work at various different locations and conditions may vary Base Compensation: $136,000/yr - $142,000/yr (Actual compensation is subject to variation due to such factors as education, experience, skillset, and/or location) We offer our fulltime staff employees a comprehensive benefits package that’s among the best in our industry, including 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, and generous paid time off. Equal Opportunity Employer, including disability and protected veteran status.