Power BI Data Engineer

Legence•Minneapolis, MN

3d•$105,000 - $120,000•Remote

About The Position

Legence is seeking a highly skilled Power BI Data Engineer who combines data engineering expertise with strong data visualization abilities. This hands-on role involves architecting robust data solutions and creating insight-driven dashboards that turn complex data into actionable intelligence. The role interacts directly with end users on requirements, testing, and implementation. It is remote, with preference for alignment to one of Legence’s office locations. The position covers the Power BI development lifecycle, from building dashboards, reports, and analytical models to engineering data pipelines, managing data platforms, implementing security, and optimizing performance. The successful candidate will take ownership of solutions from the ground up and work daily with data, code, and visualization design. The base salary is $105,000–$120,000 per year. The role may be eligible for a discretionary bonus based on company and individual performance. Compensation depends on skills, experience, and work location and may differ from the posted range. Hiring bonuses and guaranteed year-end bonuses, if applicable, are subject to Company policy and are not earned until stated conditions are met. Sponsorship is unavailable for this position.

Requirements

At least 3 years of hands-on Power BI development experience with Power BI Desktop, Service, and Report Server.
Expert-level proficiency in DAX and Power Query (M language).
Strong SQL skills, including database design, query optimization, and performance tuning.
Solid understanding of data warehousing, dimensional modeling, and ETL principles.
Experience with data visualization best practices and UI/UX design principles.
Proficiency in Azure data services such as 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.
Ability to create visually compelling, executive-level dashboards and reports.
Strong problem-solving skills and a hands-on, solution-oriented approach.
Excellent communication skills, including explaining technical concepts to non-technical stakeholders.
Attention to detail and commitment to code quality and documentation.
Demonstrated ability to use AI and automation in software engineering.

Nice To Haves

Bachelor’s degree in Computer Science or Computer Information Systems.
Microsoft certifications such as PL-300, DP-203, or DP-500.
Experience with Python or R for advanced analytics integration.
Familiarity with Git/Azure DevOps for version control and CI/CD pipelines.
Knowledge of DAX Studio and other Power BI development tools.
Experience with Power BI Embedded or custom API development.
Understanding of data science concepts and predictive analytics.
A 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.

Responsibilities

Create sophisticated Power BI dashboards and reports that support business decisions.
Develop DAX calculations, measures, and calculated columns for complex analytical requirements.
Design user-friendly report interfaces with custom visuals, drill-through capabilities, and interactive features.
Implement dynamic report features, including bookmarks, parameters, field parameters, and dynamic formatting.
Build composite models and use features such as 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 data models using star schema, snowflake schema, and other dimensional modeling techniques.
Implement and manage data warehouses and data lakes using Azure Synapse Analytics, SQL Server, or similar platforms.
Write and optimize SQL queries, stored procedures, and database functions for performance and efficiency.
Establish data governance frameworks, including data quality checks, validation rules, and documentation standards.
Configure and manage Power BI/Fabric workspaces, deployment pipelines, and version control.
Implement row-level security (RLS) and object-level security (OLS).
Optimize report performance through query optimization, data model refinement, and DAX tuning.
Integrate Power BI with data sources including 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.