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Power Query Jobs (NOW HIRING)

Dev Systems

Power BI Engineer

Phoenix, AZ · On-site

Strong expertise in Power BI Desktop, Power BI Service, DAX, Power Query (M), and Data Modeling . * Hands-on experience with SQL and relational databases. * Strong understanding of dimensional ...

Tror AI for everyone

Power BI Developer

Spring, TX · On-site

The ideal candidate is a Power BI expert with strong proficiency in DAX, data modeling, Power Query, and advanced dashboard design, and has proven experience translating complex business requirements ...

Neevsys LLC

Power BI Developer

Vienna, VA · On-site

$100 - $125/hr

Connect to and shape data from SQL Server and other sources (Power Query / M). * Gather reporting requirements and translate them into clear, accurate visualizations. * Support data-quality reporting ...

Herbalife

Developer III, Power BI

Los Angeles, CA · Hybrid

We are seeking an individual with extensive proficiency in DAX, Power Query, and SQL, along with a track record of incorporating data from cloud environments like Azure and Snowflake. This role also ...

Herbalife

Developer III, Power BI

Los Angeles, CA · Hybrid

We are seeking an individual with extensive proficiency in DAX, Power Query, and SQL, along with a track record of incorporating data from cloud environments like Azure and Snowflake. This role also ...

Accord Technologies Inc.

Sr. Power BI Engineer

New York, NY · On-site

$114K - $157K/yr

Utilize data modelling techniques using Power Query/Power Pivot. * Develop and optimize DAX queries . * Use Power BI Report Builder and/or create Paginated Reports. * Manage and query SQL Server or ...

Herbalife

Developer III, Power BI

Los Angeles, CA · On-site

We are seeking an individual with extensive proficiency in DAX, Power Query, and SQL, along with a track record of incorporating data from cloud environments like Azure and Snowflake. This role also ...

ACS Consultancy Services

Power BI Developer

Albany, NY · Remote

Develop data models using DAX and Power Query (M). * Create and maintain efficient and scalable datasets and dataflows. * Translate business requirements into technical specifications and visual ...

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How much do power query jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for power query in the United States is $24.51, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $28.37 per hour, depending on experience, location, and employer.

What is a Power Query?

A Power Query job typically involves using Microsoft's Power Query tool to extract, transform, and load (ETL) data from different sources into Excel or Power BI. Professionals in this role clean, reshape, and automate data processing to improve efficiency and decision-making. They may work with business analysts, data analysts, or finance teams to streamline reporting and analytics. Strong knowledge of M language, Power BI, and Excel is often required.

What are the typical responsibilities of a Power Query?

As a professional specializing in Power Query, you are primarily responsible for connecting to diverse data sources, cleaning and transforming raw data, and building repeatable data workflows for reporting or analysis. You will often collaborate with business analysts, data engineers, and decision-makers to define requirements and ensure data accuracy. Managing and troubleshooting queries, optimizing data models, and documenting transformation steps are also key parts of the daily routine. This role typically involves a mix of independent problem-solving and teamwork within data or analytics departments.

What are the key skills and qualifications needed to thrive in a Power Query role?

To excel in Power Query roles, you need strong skills in data transformation, advanced Excel or Microsoft Power BI knowledge, and experience with M language scripting. Familiarity with data integration tools, Power Query-specific functions, and potentially relevant certifications like Microsoft Certified: Data Analyst Associate are important. Analytical thinking, problem-solving, and clear communication with stakeholders are valuable soft skills for success in this field. These capabilities ensure efficient processing of complex data sets and effective collaboration to drive data-informed decisions.

Is Power Query a valuable skill?

Power Query is a valuable skill for data analysts and professionals working with data transformation and automation in Excel and Power BI. Proficiency in Power Query can improve efficiency and is often sought after in roles involving data management and reporting. Learning this tool can enhance job prospects in data-related fields.

Is there a certification for Power Query?

Power Query itself does not have a dedicated certification, but proficiency in Power Query is often demonstrated through certifications in related tools like Microsoft Excel or Power BI. Microsoft offers certifications such as the Microsoft Certified: Data Analyst Associate that cover Power Query skills as part of broader data analysis and reporting competencies.
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Power Query jobs near you
Infographic showing various Power Query job openings in the United States as of September 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $50,977 per year, or $24.5 per hour.

Power BI Engineer

Phoenix, AZ • On-site

Dev Systems
See more jobs at Dev Systemsexternal

Other

Posted 26 days ago

Job description

    • 8–10 years of experience in Power BI development and data modeling.
    • Strong expertise in Power BI Desktop, Power BI Service, DAX, Power Query (M), and Data Modeling.
    • Hands-on experience with SQL and relational databases.
    • Strong understanding of dimensional modelling (Star Schema/Snowflake Schema).
    • Experience in performance tuning, report optimization, and Row-Level Security (RLS).
    • Good analytical, problem-solving, and communication skills.
    • Design, develop, and maintain advanced Power BI reports and dashboards.
    • Build and optimize complex data models using star/snowflake schema.
    • Develop efficient DAX measures, calculated columns, and Power Query (M) transformations.
    • Collaborate with business stakeholders to gather requirements and deliver analytical solutions.
    • Optimize report performance and implement row-level security (RLS).

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