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Power Bi Developer Jobs in Bloomington, IL (NOW HIRING)

1 point system

Senior Data Engineer

Normal, IL · On-site

$103K - $140K/yr

As a Sr. Data Engineer, you will help build and operate the data foundation that powers analytics ... Exposure to modern analytics tools (Hex, Tableau, Power BI, or similar). * Experience enabling AI ...

State Farm

Lead Azure FinOps Analyst

Bloomington, IL · On-site

$107 - $142/hr

Experience developing dashboards and reports using Power BI. * Experience working with APIs ... FinOps Certified Practitioner/Engineer/AI Value * Microsoft Azure cloud certifications.

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Power Bi Developer information

See Bloomington, IL salary details

$17

$51

$74

How much do power bi developer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for power bi developer in Bloomington, IL is $51.60, according to ZipRecruiter salary data. Most workers in this role earn between $42.21 and $59.04 per hour, depending on experience, location, and employer.

Is Power Bi a good career?

Power BI developers are in demand as organizations seek to improve data analysis and reporting capabilities. The role requires skills in data modeling, DAX, and visualization tools, and offers opportunities across various industries with potential for career growth and certification. It is considered a valuable specialization within the data and business intelligence field.

What is a Power BI developer?

Power BI Developers are IT professionals who specialize in using Microsoft's Power BI platform to create data models, interactive reports, and visualizations. They gather and analyze data from various sources, transform it into insightful dashboards, and help organizations make data-driven decisions. Their role often includes designing data pipelines, optimizing queries, and ensuring the accuracy and security of business intelligence solutions. Power BI Developers work closely with business stakeholders to understand requirements and deliver customized BI solutions.

What is the difference between Power Bi Developer vs Data Analyst?

AspectPower Bi DeveloperData Analyst
Required SkillsData modeling, DAX, Power BI tools, SQLData interpretation, Excel, SQL, visualization
CertificationsPower BI certifications, SQL certificationsMicrosoft certifications, Excel certifications
Work EnvironmentBusiness intelligence teams, IT departmentsBusiness units, marketing, finance teams
Industry UsageReporting, dashboard creation, data visualizationData analysis, reporting, insights generation

While both roles involve working with data and visualization tools, Power Bi Developers primarily focus on building and maintaining Power BI dashboards and reports, often requiring advanced DAX and data modeling skills. Data Analysts interpret data, generate insights, and may use Power BI as one of their tools. The roles overlap but differ in technical depth and focus areas.

Is Power Bi Developer still in demand in 2026?

Power BI Developers are expected to remain in demand through 2026 due to ongoing needs for data visualization and business intelligence solutions across industries. Skills in data modeling, DAX, and cloud integration will continue to be valuable as organizations seek to leverage data for decision-making.

How does a Power BI developer typically collaborate with business analysts and stakeholders to deliver effective data solutions?

Power BI Developers frequently work closely with business analysts and stakeholders to understand reporting needs and translate business requirements into interactive dashboards and data visualizations. This collaboration often involves iterative feedback sessions, where developers refine reports based on user input and evolving business objectives. Effective communication and a proactive approach to gathering requirements are essential, as is the ability to explain technical concepts in accessible terms. This team-oriented environment not only enhances the quality of BI solutions but also provides opportunities for professional growth and cross-functional learning.

How much does a Power BI developer make?

The average salary for a Power BI developer typically ranges from $70,000 to $120,000 annually, depending on experience, location, and certifications. Senior developers with advanced skills in data modeling and DAX can earn higher salaries, especially in competitive markets.

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

To thrive as a Power BI Developer, you need expertise in data modeling, DAX/Power Query, and a solid understanding of database concepts, often supported by a degree in computer science or a related field. Familiarity with Power BI Desktop, Power BI Service, SQL, and relevant Microsoft certifications is highly valuable. Strong analytical thinking, problem-solving abilities, and effective communication set outstanding Power BI Developers apart. These skills are essential for transforming complex data into actionable insights that support business decision-making.
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Power Bi Developer jobs near you
Infographic showing various Power Bi Developer job openings in Bloomington, IL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $107,321 per year, or $51.6 per hour.

Senior Data Engineer

1 point system

Normal, IL • On-site

$103K - $140K/yr

Contractor

Posted 24 days ago

Job description

Job Description

As a Sr. Data Engineer, you will help build and operate the data foundation that powers analytics across programs and sites. You will design and maintain scalable ingestion pipelines, develop well-modeled datasets, and ensure data quality and reliability across critical systems.

This role sits at the intersection of operational systems, modern data platform engineering, and analytics enablement, helping convert raw operational signals into governed, high-value datasets that power analytics applications, core metrics, and future AI-driven insights.

Roles and Responsibilities

  • Design, build, and operate data ingestion pipelines from operational, quality, test, and service systems into Databricks using Fivetran/AWS/Databricks and standardized ELT patterns.
  • Develop and maintain dbt models for operational, quality, and ramp metrics, following our standard patterns for analytics.
  • Set up and maintain data quality checks, audits, and monitoring for freshness, completeness, and contract compliance across key pipelines.
  • Optimize Databricks jobs, Fivetran connectors, and dbt runs for performance, cost, and reliability, including orchestration, alerting, and runbooks.
  • Collaborate with analytics engineers and product teams to turn models into highvalue data products powering analytics applications.
  • Contribute to the semantic layer and catalog so GenAI agents and self-service tools can reliably discover and query operational data.
  • Drive improvements in upstream systems and schemas to reduce data issues at the source.

Required Qualifications

  • 5+ years of experience in Data Engineering, Analytics Engineering, or Software Engineering working with production data systems.
  • Strong expertise in SQL and Python for building scalable data pipelines and transformations.
  • Hands-on experience building ELT pipelines using modern cloud data platforms (Databricks strongly preferred).
  • Deep experience with dbt, including model development, testing, documentation, and CI/CD integration.
  • Experience with managed ingestion tools such as Fivetran, Airbyte, or similar.
  • Experience designing and operating production-grade data pipelines with monitoring and observability.
  • Strong collaboration skills and ability to partner with engineering teams, analysts, and operational stakeholders.
  • Bachelors or Master’s degree in Computer Science, Engineering, Mathematics, or related field, or equivalent practical experience.

Preferred Qualifications

  • Experience working with manufacturing, MES, quality, or operational data.
  • Familiarity with Fivetran connector management and ingestion architecture.
  • Experience with data contracts and schema governance.
  • Experience building semantic layers or governed analytical datasets.
  • Exposure to modern analytics tools (Hex, Tableau, Power BI, or similar).
  • Experience enabling AI or advanced analytics use cases on top of operational data.
  • Knowledge of streaming or near-real-time data pipelines.