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

Requirements

Design 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

Qualifications

CS 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 OutPortfolio of impressive Power BI dashboards demonstrating design excellence and technical complexityTrack record of optimizing poorly performing reports and data modelsExperience mentoring others in Power BI development and best practicesContributions to the Power BI community (blog posts, speaking engagements, open-source projects)This is a hands-on technical role requiring daily interaction with data, code, and visualization design. The ideal candidate thrives in environments where they can build solutions from the ground up and take ownership of the entire BI development lifecycle. Base salary: $105,000 - $120,000 per year.

This role may be eligible for participation in discretionary bonus plan based on company and individual performance. Notes: Actual compensation will be based on skills, experience, and work location, and may vary from the posted range. Hiring bonuses (and any guaranteed year-end bonuses) are administered under Company policy and are not earned until all stated conditions are met (e.g., active employment on the payment date).

This posting reflects compensation at the time of posting and may be updated. Unable to provide sponsorship for this position.

Benefits

Overview 401(k) Plan with Company Match: Currently match contributions dollar-for-dollar up to 4% of eligible pay; immediate vesting. Health & Welfare

Benefits

: Employer provided medical, dental, vision, prescription drug, Employee Assistance Program and accident & illness coverage. Life and Disability Insurance: Employer provided basic life insurance and AD&D valued at 50K coverage amount with the option for voluntary buy up for additional coverage. Time Off: Flexible non-accrual vacation; company holidays per policy.

(For California employees, this is separate from California paid sick leave, if applicable.) Expenses: Business travel and related expenses reimbursed per company policy. Reasonable Accommodations If you need assistance or accommodations during the application or interview process, please contact us at ta@wearelegence.com or your dedicated recruiter with the job title and requisition number. Employment Eligibility Candidates must have current work authorization in the U.S.; visa sponsorship is not available for this position.

Third-Party Recruiting Disclaimer Legence and its affiliates do not accept unsolicited resumes from agencies; any such submissions without a prior signed agreement authorized by Legence Holdings LLC's CHRO or Director of Talent Acquisition will not incur fees and are considered property of Legence. Pay Disclosure & Considerations Where pay ranges are indicated, please note that a successful candidate’s exact pay will be determined based relevant job-related factors, including any of the following: candidate’s experience, skills, and

Qualifications

, as well as geographic and market considerations. We are committed to ensuring fair and competitive compensation for all employees and comply with all applicable salary transparency laws. Equal Employment Opportunity Employer Legence and its affiliate companies are proud to be an equal opportunity workplace.

We are committed to equal employment opportunity regardless of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), marital or familial status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, other non-merit-based factors, and any other characteristic protected under applicable local, state or federal laws and regulations. EEO is the LawOriginally posted on Himalayas