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Power Query Jobs in California (NOW HIRING)

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 ...

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 ...

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 ...

The role requires advanced SQL skills, proficiency in DAX and Power Query, and experience in the financial domain, focusing on optimizing data visualization for compliance and operational efficiency.

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Power Query information

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$13

$24

$45

How much do power query jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for power query in California is $24.19, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $27.98 per hour, depending on experience, location, and employer.

What are typical responsibilities of someone working in a Power Query role?

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 is a Power Query job?

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 key skills and qualifications needed to thrive in the Power Query position, and why are they important?

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 in demand?

Power Query is a widely used data transformation tool within Microsoft Excel and Power BI, and demand for professionals skilled in it remains strong as organizations seek to automate data processing and reporting. Proficiency in Power Query, along with related skills in data analysis and visualization, can enhance job prospects in roles such as data analyst, business intelligence analyst, and data specialist.

What job makes $10,000 a month without a degree?

A Power Query specialist or data analyst can potentially earn $10,000 a month through freelance projects, consulting, or working in industries that value data transformation skills. Success depends on experience, skill level, and the ability to secure high-paying clients or positions, often without formal degrees but with strong technical expertise in data tools and automation.

Is Power Query obsolete?

Power Query remains a widely used data transformation and preparation tool within Microsoft Excel and Power BI, with ongoing updates and support from Microsoft. It is considered a core skill for data analysts and professionals working with data integration, and it continues to be relevant in current data workflows.

What jobs pay $500,000 a year in the US?

Power Query specialists typically do not earn $500,000 annually; such high salaries are usually associated with executive roles, highly specialized positions, or successful entrepreneurs. In some cases, senior data professionals or consultants with extensive experience and advanced skills in data analysis and automation may reach high six-figure incomes, but reaching $500,000 is uncommon for standard Power Query roles. Compensation at this level often involves additional bonuses, stock options, or profit sharing in larger organizations or consulting firms.
What are the most commonly searched types of Power Query jobs in California? The most popular types of Power Query jobs in California are:
What job categories do people searching Power Query jobs in California look for? The top searched job categories for Power Query jobs in California are:
Infographic showing various Power Query job openings in California as of June 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $50,310 per year, or $24.2 per hour.

Developer III, Power BI

Herbalife

Los Angeles, CA • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

Overview

THE ROLE:

This role is tasked with crafting, developing, and maintaining advanced Power BI solutions that transform sophisticated data into actionable insights. The Developer III, Power BI will work closely with business stakeholders to capture requirements, build robust data models, and deliver high-performance dashboards and reports. 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 supports embedded analytics initiatives and ensures alignment with BI development and governance standards.HOW YOU WOULD CONTRIBUTE:

Power BI Development & Data Modeling:    Design and develop interactive dashboards, reports, and KPIs using Power BI    Build and optimize semantic models and table structures for performance and scalability    Write advanced DAX expressions for complex business logic and performance tuning    Develop and maintain Power Query (M) scripts for data transformation    Implement Power BI Embedded solutions for web-based analytics deliveryData Integration & Backend Connectivity:    Integrate data from Snowflake, Azure SQL, and other cloud/on-prem sources    Collaborate with data engineers to ensure efficient data pipelines and model refreshes    Ensure data accuracy, consistency, and governance across all BI solutionsCollaboration & Documentation:    Work with business teams to gather and translate requirements into technical solutions    Document data models, logic, and dashboard functionality for maintainability    Provide support and training to end-users and junior developersDeployment & Governance:    Follow CI/CD practices using tools like Git, Tabular Editor, and TMDL    Ensure compliance with Power BI governance, security, and workspace management standards    Monitor and optimize report performance and data refresh schedules    Other duties as assignedWHAT'S SPECIAL ABOUT THE TEAM

As a member of this team, this position will have the opportunity to focus on transforming complex data into actionable insights through advanced Power BI solutions. This position offers the opportunity to work closely with business stakeholders, leveraging deep expertise in DAX, Power Query, and SQL, along with integrating data from cloud platforms like Azure and Snowflake. Additionally, the role emphasizes adherence to best practices in BI development and governance, ensuring high-performance and scalable data models.

Qualifications

SKILLS AND BACKGROUND REQUIRED TO BE SUCCESSFUL: 

    6+ years of experience in Power BI development and business intelligence    Expert-level proficiency in Power BI, DAX, Power Query, and M    Strong SQL skills for querying and transforming data    Experience with Snowflake and Azure Data Services (e.g., Azure Data Factory, Azure Synapse)    Familiarity with Power BI Embedded and web integration    Understanding of data modeling best practices and performance tuning    Knowledge of CI/CD tools and version control (Git, Tabular Editor, TMDL)    Strong analytical, problem-solving, and communication skills    Expert-level proficiency in Power BI, DAX, Power Query, and M    Proven experience in delivering enterprise-grade BI solutions with complex data models    Experience working in agile, cross-functional teams and cloud-based environments

Education:

    Bachelor's degree in Computer Science, Information Systems, or related field

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US Benefits StatementHerbalife offers a variety of benefits to eligible employees in the U.S. (limited to the 50 States and the District of Columbia), which includes Group Health Programs, other Voluntary Benefit Programs, and Paid Time Off. Group Health Programs include Medical, Dental, Vision, Health Savings Account (HSA), Flexible Spending Accounts (FSA), Basic Life/AD&D; Short-Term and Long-Term Disability, and an Employee Assistance Program (EAP). Other Voluntary Benefit Programs include a 401(k) plan, Wellness Incentive Program, Employee Stock Purchase Plan (ESPP), Supplemental Life/Critical Illness/Hospitalization/Accident Insurance, and Pet Insurance. Paid time off includes Company-observed U.S. Holidays, Floating Holidays, Vacation, Sick Time, a Volunteer Program, Paid Maternity and Paternity Leave, Bereavement Leave, Personal Leave and time off for voting.Employment Type: FULL_TIME