Power BI Data Engineer

Legence

. Create sophisticated Power BI dashboards and reports that drive business decisions .

Posted 10/17/2026full-timeRemote • Minnesota • United StatesMid-LevelSenior💰 $105,000 - $120,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Power BI development, including advanced DAX calculations, data modeling, and ETL processes. Proficient in creating impactful dashboards and reports while ensuring data quality and governance.

Highest-signal resume keywords

Power BI DevelopmentAdvanced DAX ProficiencySQL Query OptimizationData Warehousing ConceptsAzure Data Services

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

DAX CalculationsSQL QueriesData ModelingETL ProcessesData VisualizationData Quality AssessmentStatistical ConceptsData GovernancePerformance TuningAI and Automation

Soft Skills

Problem-SolvingCommunication SkillsDetail-OrientedSolution-Oriented ApproachMentoring

Tools & Technologies

Power BIAzure Synapse AnalyticsAzure Data FactoryPower QueryDAX StudioGitAzure DevOpsPower BI EmbeddedAPIsExcel

Certifications & Qualifications

Microsoft PL-300Microsoft DP-203Microsoft DP-500

Industry Keywords

Data WarehousingDimensional ModelingData LakesDataflowsIncremental RefreshQuery FoldingUser Interface DesignData ProfilingExecutive DashboardsPredictive Analytics

Tech Stack

Tools & technologies

AzureCloudETLPythonSQL

About the role

Key responsibilities & impact

Create sophisticated Power BI dashboards and reports that drive business decisions
Develop advanced DAX calculations, measures, and calculated columns
Design user-friendly interfaces with custom visuals, drill-through capabilities, and interactive features
Implement bookmarks, parameters, field parameters, and dynamic formatting
Build composite models using aggregations, incremental refresh, and query folding
Design, build, and maintain scalable data pipelines and ETL/ELT processes using Power Query, Dataflows, and Azure Data Factory
Develop and optimize star-schema, snowflake-schema, and other dimensional data models
Implement and manage data warehouses and data lakes using Azure Synapse Analytics, SQL Server, or similar platforms
Write and optimize complex SQL queries, stored procedures, and database functions
Establish data governance frameworks, data quality checks, validation rules, and documentation standards
Configure and manage Power BI/Fabric workspaces, deployment pipelines, and version control
Implement row-level security and object-level security
Optimize report performance through query optimization, data model refinement, and DAX tuning
Integrate Power BI with SQL databases, APIs, SharePoint, Excel, and cloud platforms
Automate data refresh schedules and monitor gateway configurations
Interact directly with end users regarding requirements, testing, and implementation
Build solutions from the ground up and own the full BI development lifecycle

Requirements

What you’ll need

3+ 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 tuning
Solid understanding of data warehousing concepts, dimensional modeling, and ETL principles
Experience with data visualization best practices and UI/UX design principles
Proficiency in Azure data services (Azure SQL Database, Synapse Analytics, Data Factory, or Fabric)
Deep understanding of data modeling techniques and relationships, including one-to-many, many-to-many, and bi-directional relationships
Strong grasp of statistical concepts and analytical methodologies
Ability to translate complex business requirements into technical data solutions
Experience with data quality assessment and data profiling
Proven ability to create visually compelling, executive-level dashboards and reports
Strong problem-solving skills with a hands-on, solution-oriented approach
Excellent communication skills to explain technical concepts to non-technical stakeholders
Detail-oriented with commitment to code quality and documentation
Demonstrated ability to use AI and automation in software engineering
Bachelor's degree in Computer Science or Computer Information Systems is preferred
Microsoft certifications PL-300, DP-203, or DP-500 are preferred
Experience with Python or R for advanced analytics integration is preferred
Familiarity with Git/Azure DevOps for version control and CI/CD pipelines is preferred
Knowledge of DAX Studio and other Power BI development tools is preferred
Experience with Power BI Embedded or custom API development is preferred
Understanding of data science concepts and predictive analytics is preferred
Portfolio of impressive Power BI dashboards demonstrating design excellence and technical complexity
Track record of optimizing poorly performing reports and data models
Experience mentoring others in Power BI development and best practices
Contributions to the Power BI community, such as blog posts, speaking engagements, or open-source projects

Benefits

Comp & perks

Potential eligibility for participation in a discretionary bonus plan based on company and individual performance