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Power BI Engineer Jobs (On-site work)

4 Job Offers

Power Bi Engineer
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Seeking a skilled **Power BI Engineer** in **Fort Lauderdale, FL** to design interactive dashboards and drive data-driven decisions. You will develop data models, DAX formulas, and ETL pipelines using **Azure** or **AWS**. Requires 3–7+ years of BI experience and a degree in Computer Science. Joi...
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United States , Fort Lauderdale
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Not provided
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Robert Half
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Until further notice
Data Engineer – Microsoft Fabric & Power BI
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Seeking a skilled **Data Engineer** in **Hyderabad, India** to design modern data solutions using **Microsoft Fabric** and **Power BI**. You will build automated pipelines, implement medallion architecture, and develop dimensional models for Student, Finance, and HR domains. Requires 5+ years of ...
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India , Hyderabad
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Not provided
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Right Angle Solutions
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Until further notice
Data Analytics Engineer - Power BI
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Seeking a skilled Data Analytics Engineer with deep Power BI expertise for our Ankeny, Iowa team. You will design and optimize semantic data models, leveraging dimensional modeling and Power Query (M) to drive business intelligence. Requires 3-5 years’ experience in analytics engineering and clou...
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United States , Ankeny
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Not provided
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Robert Half
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Until further notice
Power BI Engineer
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United States , Nashville
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Not provided
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NTT DATA
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Until further notice

About the Power BI Engineer role

Power BI Engineer jobs represent a dynamic and high-demand career path at the intersection of data engineering, analytics, and business intelligence. Professionals in this role are responsible for transforming raw, complex datasets into clear, interactive, and actionable visual insights that drive strategic decision-making across an organization. A Power BI Engineer does not simply build charts; they architect end-to-end business intelligence solutions that enable stakeholders to monitor performance, identify trends, and uncover opportunities.

The core responsibilities of a Power BI Engineer typically involve designing, developing, and maintaining robust data models and dashboards using Microsoft Power BI. This includes writing advanced DAX (Data Analysis Expressions) formulas, performing data transformations with Power Query, and integrating data from a wide variety of sources such as SQL databases, cloud platforms (Azure, AWS, GCP), enterprise resource planning systems, and REST APIs. A significant portion of the role is dedicated to building and optimizing ETL (Extract, Transform, Load) pipelines to ensure data is clean, consistent, and readily available for analysis. Beyond technical development, these engineers collaborate closely with business analysts, data scientists, and department heads to translate reporting requirements into meaningful KPIs and metrics. They also play a key role in data governance, implementing row-level security, ensuring data accuracy, and establishing best practices for self-service analytics so that end users can confidently explore data on their own.

To succeed in Power BI Engineer jobs, candidates typically need a strong foundation in data modeling, SQL proficiency, and hands-on experience with the Power BI ecosystem, including the Power BI Service for publishing and sharing content. Familiarity with cloud data platforms like Azure Synapse, Snowflake, or Databricks is increasingly essential, as is experience with modern data architectures such as medallion (bronze-silver-gold) frameworks or star schema design. Soft skills are equally important: these engineers must communicate complex technical concepts to non-technical audiences, manage stakeholder expectations, and continuously learn as Power BI and related tools evolve. A background in computer science, information systems, or data analytics is common, along with several years of experience in business intelligence or data engineering roles.

Ultimately, Power BI Engineer jobs offer a rewarding blend of technical challenge and business impact. Whether building enterprise-wide dashboards, optimizing query performance, or enabling real-time analytics, these professionals serve as the bridge between raw data and informed action, making them indispensable to data-driven organizations. For anyone passionate about turning numbers into narratives, this career provides a clear path to influence how companies operate and grow.