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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

This highly visible role combines cloud engineering, data analytics, finance, automation, and ... Experience developing dashboards and reports using Power BI. * Experience working with APIs ...

State Farm

Lead Azure FinOps Analyst

Bloomington, IL · Hybrid

This highly visible role combines cloud engineering, data analytics, finance, automation, and ... Experience developing dashboards and reports using Power BI. * Experience working with APIs ...

Caterpillar

Data Scientist

Morton, IL · On-site

This role requires strong programming skills, the ability to learn complex business processes, and ... Create Power BI dashboards and visualizations to support reporting, exploratory analysis, and ...

All JobsBi Developer JobsBi Developer Jobs in Bloomington, IL

Bi Developer information

See Bloomington, IL salary details

$17

$51

$74

How much do bi developer jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for 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 BI developer a good career?

A BI developer designs and implements data analysis solutions using tools like SQL, Power BI, or Tableau, making it a valuable role in data-driven organizations. The career offers opportunities for growth, competitive salaries, and requires skills in data modeling, programming, and business analysis. It is suitable for individuals interested in technology, analytics, and problem-solving.

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

To thrive as a BI Developer, you need expertise in data modeling, SQL, and data warehousing concepts, often supported by a bachelor’s degree in computer science or a related field. Proficiency with BI tools such as Power BI, Tableau, or SSRS, as well as experience with ETL processes and possibly certifications like Microsoft Certified: Data Analyst Associate, is highly valuable. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for translating business needs into actionable insights. These skills and qualifications enable BI Developers to deliver accurate reporting and analytics that drive informed business decisions.

What are BI Developers?

BI Developers, or Business Intelligence Developers, are IT professionals who design, develop, and maintain business intelligence solutions such as dashboards, data visualizations, and reporting systems. They work with data warehouses, databases, and analytics tools to help organizations make data-driven decisions. BI Developers often use technologies like SQL, Power BI, Tableau, or SSRS to transform raw data into actionable insights. Their work supports business operations by providing timely and accurate information for strategic planning.

What Is a BI Developer?

A business intelligence (BI) developer takes data and turns it into knowledge that a business or organization can use to carry out its goals. Their job is to use their data analysis skills and technical experience to develop solutions to problems, create technical reports, and make recommendations. By creating a data model or using other analytical tools, these developers can help increase productivity, provide improvements, or cut costs.

How much do BI developers earn?

BI developers typically earn a median salary ranging from $70,000 to $110,000 annually, depending on experience, location, and industry. Professionals with advanced skills in SQL, data visualization tools, and certifications may earn higher salaries. Entry-level positions generally start lower, while senior roles can exceed $120,000.

What jobs make $1,000,000 a year?

In the context of a BI Developer, earning $1,000,000 annually is uncommon and typically involves executive-level roles such as Chief Data Officer or Chief Technology Officer, or highly successful entrepreneurs in data-related businesses. These positions often require extensive experience, leadership skills, and sometimes equity or profit-sharing arrangements. Most BI Developers earn significantly less, with top salaries reaching several hundred thousand dollars, but reaching the million-dollar mark usually involves senior management or ownership stakes.

What are some key challenges BI Developers face when integrating data from multiple sources?

BI Developers often encounter challenges such as data inconsistency, varying data formats, and duplicate records when integrating data from different sources. Ensuring data quality and accuracy requires strong ETL (Extract, Transform, Load) skills and attention to detail. Collaborating closely with database administrators and business analysts is crucial to understand data structures and business requirements, which helps in designing effective data integration solutions. Overcoming these challenges not only improves reporting accuracy but also enhances decision-making across the organization.

What is the difference between Bi Developer vs Data Analyst?

AspectBi DeveloperData Analyst
Required SkillsSQL, ETL, BI tools (Power BI, Tableau), data modelingSQL, Excel, data visualization, statistical analysis
Work EnvironmentBusiness intelligence teams, IT departmentsData teams, business units, consulting firms
CertificationsPower BI, Tableau certifications, SQL certificationsMicrosoft Excel, SAS, Tableau certifications
Industry UsageDeveloping dashboards, reporting solutionsData interpretation, reporting, insights generation

While both Bi Developers and Data Analysts work with data and reporting tools, Bi Developers focus on creating and maintaining business intelligence solutions like dashboards and data models. Data Analysts primarily interpret data, generate reports, and provide insights to support decision-making. The roles often overlap but differ in technical focus and scope.

More about Bi Developer jobs
What are popular job titles related to Bi Developer jobs in Bloomington, IL? For Bi Developer jobs in Bloomington, IL, the most frequently searched job titles are:
What job categories do people searching Bi Developer jobs in Bloomington, IL look for? The top searched job categories for Bi Developer jobs in Bloomington, IL are:
What cities near Bloomington, IL are hiring for Bi Developer jobs? Cities near Bloomington, IL with the most Bi Developer job openings:
Bi Developer jobs near you
Infographic showing various Bi Developer job openings in Bloomington, IL as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $107,321 per year, or $51.6 per hour.
Senior Data Engineer

Senior Data Engineer

1 point system

Normal, IL • On-site

$103K - $140K/yr

Contractor

Posted 11 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.