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Power Bi Data Engineer Jobs (NOW HIRING)

Power BI Data Engineer

Minneapolis, MN ยท On-site +1

$119K - $143K/yr

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 ...

Power BI Data Engineer

Minneapolis, MN ยท On-site +1

$119K - $143K/yr

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 ...

Power BI Data Engineer

Minneapolis, MN ยท On-site +1

$119K - $143K/yr

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 ...

Power BI Data Engineer

Minneapolis, MN ยท On-site +1

$119K - $143K/yr

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 ...

Power BI Data Engineer

Minneapolis, MN ยท On-site

$105K - $120K/yr

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 ...

You will work closely with clients, data engineers, business leaders, and IT teams to ensure data ... Primary Responsibilities Power BI Development * Design, build, and publish interactive Power BI ...

Mentor and guide junior developers and analysts in Power BI development and data visualization practices. * Work with enterprise architecture teams to align BI solutions with data strategy and ...

You will work closely with clients, data engineers, business leaders, and IT teams to ensure data ... Primary Responsibilities Power BI Development * Design, build, and publish interactive Power BI ...

You will work closely with clients, data engineers, business leaders, and IT teams to ensure data ... Primary Responsibilities Power BI Development * Design, build, and publish interactive Power BI ...

Senior Power BI / Data Analyst

Houston, TX ยท On-site

$82K - $103K/yr

Develop complex Power BI data models that support interactive visualizations and reporting for ... Strong background acting as a Database Administrator (DBA) or Data Engineer with experience in ...

New

Azure Data Engineer Associate; PL300 Power BI Data Analyst). * Required experience and skills: * BI, data engineering, or analytics experience with handson Power BI development. * Proficiency with ...

Power BI Developer, Journeyman

Herndon, VA ยท On-site

$66K - $106K/yr

Azure Data Engineer Associate; PL-300 Power BI Data Analyst). * Required experience and skills: * BI, data engineering, or analytics experience with hands-on Power BI development. * Proficiency with ...

Azure Data Engineer Associate; PL300 Power BI Data Analyst). * Required experience and skills: * BI, data engineering, or analytics experience with handson Power BI development. * Proficiency with ...

Power BI Developer Location: Austin, TX (Onsite - Local Preferred) Duration: Long term contract ... Build and optimize data models, ensuring performance, scalability, and accuracy * Extract ...

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Power Bi Data Engineer information

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$86.5K

$126.5K

$160.5K

How much do power bi data engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for power bi data engineer in the United States is $126,499.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Power BI Data Engineer, and why are they important?

To thrive as a Power BI Data Engineer, you need expertise in data modeling, ETL processes, SQL, and a strong understanding of business intelligence concepts, typically backed by a degree in computer science or a related field. Proficiency in Power BI, DAX, Power Query, and experience with cloud platforms like Azure are crucial, and certifications such as Microsoft Certified: Data Analyst Associate can be advantageous. Strong analytical thinking, problem-solving, and effective communication help in translating business requirements into actionable data insights. These skills ensure the delivery of accurate, impactful dashboards and reports that drive informed decision-making within organizations.

What is a Power BI Data Engineer?

A Power BI Data Engineer is a professional who specializes in designing, building, and managing data solutions using Microsoft Power BI and related technologies. Their primary responsibilities include data modeling, transforming raw data into insightful reports and dashboards, and ensuring data quality and security. They work closely with business analysts and stakeholders to understand data requirements and deliver actionable business intelligence. Power BI Data Engineers often utilize various data sources, integrate them with Power BI, and optimize performance for reporting and analytics.

What engineers make $500,000?

Power BI Data Engineers with extensive experience, advanced skills in data modeling, and certifications can reach salaries around $500,000, especially in high-demand industries or senior leadership roles. Such compensation often includes bonuses, stock options, or other incentives and typically requires years of specialized expertise and a strong track record of delivering complex data solutions.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and transformation, but it does not replace the need for data engineers. Data engineers are essential for designing data pipelines, managing infrastructure, and ensuring data quality, which require specialized skills that complement AI tools. As AI advances, data engineers will increasingly focus on developing and maintaining AI-driven data solutions rather than being replaced entirely.

Is Power BI in high demand?

Power BI Data Engineers are in high demand as organizations increasingly rely on data visualization and business intelligence tools to make informed decisions. Skills in data modeling, DAX, and cloud integration enhance job prospects, with many roles available across industries seeking expertise in Power BI and related analytics platforms.

Is Power BI still in demand in 2026 and after 2026?

Power BI Data Engineers are expected to remain in demand through 2026 and beyond due to ongoing needs for data visualization and business intelligence solutions. As organizations increasingly rely on data-driven decision-making, skills in Power BI, data modeling, and SQL will continue to be valuable in the job market.

What is the difference between Power Bi Data Engineer vs Power BI Developer?

AspectPower Bi Data EngineerPower BI Developer
Primary FocusBuilding data pipelines, data architecture, and integrating data sourcesCreating reports, dashboards, and visualizations for end-users
Skills & CertificationsData modeling, ETL processes, SQL, Azure Data servicesPower BI, DAX, data visualization, report design
Work EnvironmentData warehouses, backend data systems, cloud platformsBusiness units, end-user reporting, front-end visualization
Common UsageData engineering teams, BI infrastructure setupBusiness analysts, report creators, end-user support

While both roles work with Power BI, the Power Bi Data Engineer primarily focuses on data infrastructure, pipelines, and integration, whereas the Power BI Developer concentrates on designing and developing reports and dashboards for business insights.

How do Power BI Data Engineers typically collaborate with business analysts and stakeholders during a project?

Power BI Data Engineers work closely with business analysts and stakeholders to understand reporting needs, translate requirements into technical solutions, and ensure data models support actionable insights. They often participate in requirement-gathering sessions, clarify data sources, and provide expertise on data integration and visualization best practices. Regular communication and feedback loops are essential to ensure the final dashboards and reports meet business objectives and remain scalable for future enhancements.
More about Power Bi Data Engineer jobs
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What states have the most Power Bi Data Engineer jobs? States with the most job openings for Power Bi Data Engineer jobs include:
Power BI Data Engineer

Power BI Data Engineer

legence

Minneapolis, MN โ€ข On-site, Remote

$119K - $143K/yr

Other

Posted 9 days ago


Job description

Position Overview:ย 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 Legenceโ€™ s office locations.

Key Responsibilities

Power BI Development & Visualization

  • Create sophisticated, visually stunning Power BI dashboards and reports that drive business decisions
  • Develop 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 features
  • Implement dynamic report features including bookmarks, parameters, field parameters, and dynamic formatting
  • Build composite models and leverage advanced features like aggregations, incremental refresh, and query folding

Data Engineering & Architecture

  • 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 complex SQL queries, stored procedures, and database functions for performance and efficiency
  • Establish data governance frameworks, including data quality checks, validation rules, and documentation standards

Technical Implementation

  • Configure and manage Power BI/Fabric workspaces, deployment pipelines, and version control
  • Implement row-level security (RLS) and object-level security (OLS) for data protection
  • Optimize report performance through query optimization, data model refinement, and DAX tuning
  • Integrate Power BI with various data sources including SQL databases, APIs, SharePoint, Excel, and cloud platforms
  • Automate data refresh schedules and monitor gateway configurations

Required Qualifications

Technical Skills

  • 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)

Data & Analytical Expertise

  • Deep understanding of data modeling techniques and relationships (one-to-many, many-to-many, bi-directional)
  • 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

Professional Competencies

  • 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

Preferred Qualifications

  • CS or CIS bachelor 's degree
  • Microsoft 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 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

Technical Environment

  • Power BI Desktop, Power BI Service, Power BI Premium/Fabric
  • SQL Server, Azure SQL Database, Azure Synapse Analytics
  • Azure Data Factory, Azure Data Lake Storage
  • DAX Studio, Tabular Editor, Power Query
  • Git/Azure DevOps for version control

What Makes You Stand Out

  • 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 (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: $105,000โ€“$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.

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