Power BI Data Engineer

About Legence Legence (Nasdaq: LGN) is a leading provider of engineering, consulting, installation, and maintenance services for mission-critical systems in buildings. The company specializes in designing, fabricating, and installing complex HVAC, process piping, and other mechanical, electrical, and plumbing (MEP) systems—enhancing energy efficiency, reliability, and sustainability in new and existing facilities. Legence also delivers long-term performance through strategic upgrades and holistic solutions. Serving some of the world’s most technically demanding sectors, Legence counts over 60% of the Nasdaq-100 Index among its clients.Position Overview: We are seeking a highly skilled Power BI Data Engineer who combines deep technical expertise in data engineering with exceptional data visualization abilities. This hands-on role requires someone who can architect robust data solutions while creating compelling, insight-driven dashboards that transform complex data into clear, actionable intelligence. This role is expected to interact directly with end users regarding requirements, testing, and implementation. This position is remote with preference to align to one of Legence’ s office locations. Key Responsibilities Power BI Development & VisualizationCreate sophisticated, visually stunning Power BI dashboards and reports that drive business decisionsDevelop advanced DAX calculations, measures, and calculated columns to support complex analytical requirementsDesign intuitive, user-friendly interfaces with custom visuals, drill-through capabilities, and interactive featuresImplement dynamic report features including bookmarks, parameters, field parameters, and dynamic formattingBuild composite models and leverage advanced features like aggregations, incremental refresh, and query foldingData Engineering & ArchitectureDesign, build, and maintain scalable data pipelines and ETL/ELT processes using Power Query, Dataflows, and Azure Data FactoryDevelop and optimize data models using star schema, snowflake schema, and other dimensional modeling techniquesImplement and manage data warehouses and data lakes using Azure Synapse Analytics, SQL Server, or similar platformsWrite and optimize complex SQL queries, stored procedures, and database functions for performance and efficiencyEstablish data governance frameworks, including data quality checks, validation rules, and documentation standardsTechnical ImplementationConfigure and manage Power BI/Fabric workspaces, deployment pipelines, and version controlImplement row-level security (RLS) and object-level security (OLS) for data protectionOptimize report performance through query optimization, data model refinement, and DAX tuningIntegrate Power BI with various data sources including SQL databases, APIs, SharePoint, Excel, and cloud platformsAutomate data refresh schedules and monitor gateway configurationsRequired Qualifications Technical Skills3+ years of hands-on experience with Power BI development (Desktop, Service, and Report Server)Expert-level proficiency in DAX (Data Analysis Expressions) and Power Query (M language)Strong SQL skills with experience in database design, query optimization, and performance tuningSolid understanding of data warehousing concepts, dimensional modeling, and ETL principlesExperience with data visualization best practices and UI/UX design principlesProficiency in Azure data services (Azure SQL Database, Synapse Analytics, Data Factory, or Fabric)Data & Analytical ExpertiseDeep understanding of data modeling techniques and relationships (one-to-many, many-to-many, bi-directional)Strong grasp of statistical concepts and analytical methodologiesAbility to translate complex business requirements into technical data solutionsExperience with data quality assessment and data profilingProfessional CompetenciesProven ability to create visually compelling, executive-level dashboards and reportsStrong problem-solving skills with a hands-on, solution-oriented approachExcellent communication skills to explain technical concepts to non-technical stakeholdersDetail-oriented with commitment to code quality and documentationDemonstrated ability to use AI and automation in software engineeringPreferred QualificationsCS or CIS bachelor 's degreeMicrosoft certifications: PL-300 (Power BI Data Analyst), DP-203 (Data Engineer), or DP-500 (Enterprise Data Analyst)Experience with Python or R for advanced analytics integrationFamiliarity with Git/Azure DevOps for version control and CI/CD pipelinesKnowledge of DAX Studio, and other Power BI development toolsExperience with Power BI Embedded or custom API developmentUnderstanding of data science concepts and predictive analyticsTechnical EnvironmentPower BI Desktop, Power BI Service, Power BI Premium/FabricSQL Server, Azure SQL Database, Azure Synapse AnalyticsAzure Data Factory, Azure Data Lake StorageDAX Studio, Tabular Editor, Power QueryGit/Azure DevOps for version controlWhat Makes You Stand OutPortfoli