Data Engineer-Kiewit Nuclear Solutions 1

Requisition ID: 180211Job Level: Mid LevelHome District/Group: Kiewit Nuclear SolutionsDepartment: Technology GroupMarket: NuclearEmployment Type: Full TimePosition OverviewKiewit 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 OverviewThis position is within the Kiewit Technology Group, supporting Kiewit Nuclear Solutions.LocationThis is a remote position that may require some travel.ResponsibilitiesPower BI DevelopmentDevelop interactive dashboards for project and field useImplement row-level security (RLS), object-level security (OLS), and governance standardsDeploy and manage solutions within Power BI capacitiesConfigure and optimize data gatewaysManage workspaces, deployment pipelines, and versioning strategiesDesign and develop scalable Power BI datasets using modeling best practicesBuild optimized semantic models supporting enterprise-scale reportingImplement incremental refresh, aggregation tables, composite models, and DirectQuery/Import hybrid architecturesEngineer high-performance DAX measures for complex business logicTroubleshoot and refactor poorly performing modelsContribute to enterprise data standards and BI best practicesData Integration and Engineering CollaborationWork with data engineers to define optimized data contractsAnalyze and troubleshoot end-to-end data pipelinesContribute to ELT design patterns across:Azure Data Lake (ADLS Gen2)Azure Databricks (Spark / PySpark / Spark SQL)Azure Data FactorySQL Server / Azure SQLEnsure datasets are structured for performance, scalability, and reusabilityQualificationsTechnology stackPrimary:Power BIPower BI Premium / EmbeddedAzure Databricks (PySpark, Spark SQL)Azure Data LakeAzure Data FactorySQL ServerSnowflakeSupporting:PythonGit (source control)CI/CD deployment pipelinesData modeling and warehousing frameworksRequired SKILLS AND ABILITIESStrong PowerBi experience is required including PowerBI Premium or EmbeddedProgramming: 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 systemsExperience 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 analyticsOther 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 varyBase 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.