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Business Intelligence Engineer Jobs in Kansas (NOW HIRING)

Velocity Staff

Jr/Mid SQL DBA

Kansas City, MO · On-site

$48.75 - $60.75/hr

Maintain and enhance existing databases to support evolving business needs * Set up, configure, and test new database and data-handling systems * Monitor database performance and implement ...

Velocity Staff

Senior Data Engineer

Overland Park, KS · On-site

$104K - $142K/yr

... Level Data Engineer to join their Data Services Team. The right candidate will utilize their ... business intelligence, reliably providing data to our analysts. This role requires significant ...

Miamioh

BI ETL Data Developer II or III

Hoyt, KS · On-site

Job Title BI ETL Data Developer II or III Department Business Intelligence Team Worker Type Regular Pay Type Salary Position Salary Minimum 65,000 Position Salary Maximum 87,000 Salary will be ...

27Global

Data Engineer II

Leawood, KS · On-site

$111K - $133K/yr

We're looking for a Data Engineer II to join our team! You'll be responsible for contributing to ... business intelligence, and scalable applications. You'll work closely with data and software ...

27Global

Data Engineer III

Leawood, KS · On-site

$111K - $133K/yr

We're looking for a Data Engineer III to join our team! You'll be responsible for contributing to ... business intelligence, and scalable applications. You'll work closely with data and software ...

hendersonco

Software Developer I

Lenexa, KS · On-site

... business intelligence and management purposes. * Implements integration of external software ... Researches new programming language and designs technologies to improve new and existing software ...

Locatee AG

Data stack 8 or more years in analytics engineering, data engineering, or business intelligence, with deep, hands-on experience on a modern data stack and a sustained track record of building ...

Locatee Ag

Data stack 8 or more years in analytics engineering, data engineering, or business intelligence, with deep, hands-on experience on a modern data stack and a sustained track record of building ...

Essense of Australia, Inc.

Software Engineer

Lenexa, KS · Hybrid

... business intelligence tools. * Strong understanding of SEO and SEO concepts, and how to follow ... Advanced WordPress engineering experience, including: * Custom plugin architecture and development ...

Essense of Australia, Inc.

Software Engineer

Lenexa, KS · On-site

... business intelligence tools. * Strong understanding of SEO and SEO concepts, and how to follow ... Advanced WordPress engineering experience, including: * Custom plugin architecture and development ...

Essense of Australia, Inc.

Software Engineer

Lenexa, KS · Hybrid

... business intelligence tools. * Strong understanding of SEO and SEO concepts, and how to follow ... Advanced WordPress engineering experience, including: * Custom plugin architecture and development ...

Kenco

Sr Industrial Engineer

Olathe, KS · On-site

$41.25 - $56.50/hr

... Business Intelligence), IT, and Operations teams * Work with Data Science and BI and Marketing ... Programming knowledge preferred (Python, R, C++) * Experience in a customer facing role defining ...

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All JobsBusiness Intelligence Engineer JobsBusiness Intelligence Engineer Jobs in Kansas

Business Intelligence Engineer information

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How much do business intelligence engineer jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for business intelligence engineer in Kansas is $50.88, according to ZipRecruiter salary data. Most workers in this role earn between $43.75 and $56.83 per hour, depending on experience, location, and employer.

What is a business intelligence engineer?

Business Intelligence Engineers are professionals who design, develop, and maintain systems and processes that help organizations collect, analyze, and interpret data. They create dashboards, reports, and data models that enable business leaders to make informed decisions. Their work typically involves data warehousing, ETL (extract, transform, load) processes, and the use of tools such as SQL, Power BI, or Tableau. BI Engineers bridge the gap between raw data and actionable business insights, playing a crucial role in data-driven organizations.

What are the key skills and qualifications needed to thrive as a business intelligence engineer, and why are they important?

To thrive as a Business Intelligence Engineer, you need strong analytical skills, expertise in data modeling, and a background in computer science or a related field. Proficiency with BI tools like Tableau, Power BI, SQL, and data warehousing systems, as well as certifications in these platforms, are highly valuable. Excellent problem-solving abilities, effective communication, and attention to detail help you translate complex data into actionable business insights. These skills ensure accurate data analysis and reporting, empowering organizations to make data-driven decisions.

How does a business intelligence engineer typically collaborate with data analysts and business stakeholders?

Business Intelligence Engineers work closely with data analysts to design and optimize data models, build robust data pipelines, and ensure accurate reporting. They also engage with business stakeholders to understand their data needs, translate requirements into technical solutions, and provide actionable insights that support decision-making. Regular collaboration involves meetings to review project progress, clarify business objectives, and adjust deliverables based on feedback, fostering a dynamic and cross-functional team environment.

What is the difference between Business Intelligence Engineer vs Data Analyst?

AspectBusiness Intelligence EngineerData Analyst
CredentialsBachelor's in CS, IT, or related field; SQL, BI toolsBachelor's in Statistics, Math, or related field; SQL, Excel
Work EnvironmentDevelops data pipelines, dashboards, reports; collaborates with IT and business teamsAnalyzes data, creates reports, visualizations; works closely with business units
Industry UsageUsed across tech, finance, healthcare for data infrastructureCommon in marketing, finance, retail for insights and reporting

Business Intelligence Engineers focus on building data infrastructure, pipelines, and dashboards to enable data-driven decisions. Data Analysts interpret data, generate reports, and provide insights. Both roles require SQL and data visualization skills but differ in scope and responsibilities.

How much does a business intelligence engineer make?

The average salary for a business intelligence engineer in the United States ranges from $80,000 to $130,000 per year, depending on experience, location, and industry. Professionals with skills in data analysis, SQL, and tools like Tableau or Power BI tend to earn higher salaries, especially with advanced certifications or experience in large organizations.

What do business intelligence engineers do?

Business intelligence engineers analyze data to help organizations make informed decisions by designing and maintaining data pipelines, dashboards, and reports. They often use tools like SQL, data visualization software, and programming languages such as Python or R to extract, process, and interpret large datasets.
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Business Intelligence Engineer jobs near you
Infographic showing various Business Intelligence Engineer job openings in Kansas as of August 2026, with employment types broken down into 82% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $105,827 per year, or $50.9 per hour.

Artificial Intelligence (AI) Engineer

Children's Hospital Association

Lenexa, KS • Hybrid

$108K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday

Job description

Artificial Intelligence (AI) Engineer
Hybrid in Lenexa, Kansas

Join us in shaping a healthier future for kids. At Children’s Hospital Association, we unite more than 200 member hospitals to put children first—advancing care, informing policy, and driving progress together.

Where You’ll Work
This position is based in our Lenexa, KS office. We leverage a hybrid working model working three days in the office, two days optional remote work.
Visa sponsorship is not available for this position.

What You’ll Do
The Artificial Intelligence (AI) Engineer is responsible for designing, developing, and deploying artificial intelligence solutions that solve complex problems and automate business processes. This role applies expertise in software engineering, machine learning, and data science to build, train, and optimize AI models, such as chatbots, recommendation engines, and predictive systems.
  • Design, develop, and deploy AI agents using Microsoft Azure OpenAI, Copilot Studio, and the Power Platform to support data validation, workflow automation, and issue resolution.
  • Apply prompt engineering, fine-tuning, and optimization techniques to improve model accuracy, reliability, and performance; retraining or refining models as needed.
  • Integrate AI solutions and capabilities into enterprise applications and workflows, ensuring scalability, maintainability, and adaptability.
  • Design, implement, and optimize AI infrastructure within Microsoft Azure, including service selection, environment configuration, and security controls.
  • Collaborate with cross-functional teams to align AI initiatives with organizational priorities and support continuous improvement initiatives, providing technical guidance and support.
  • Establish and maintain cloud usage frameworks that ensure security, compliance, and responsible AI practices.
  • Ensure AI solutions comply with internal governance standards and external regulatory requirements (e.g., HIPAA, SOC 2).
  • Develop and maintain clear, up-to-date documentation for AI architectures, integrations, and operational procedures.
  • Stay current with Microsoft’s AI roadmap and identify opportunities to leverage new capabilities for business value.
What You’ll Bring to CHA
Any combination of education and experience providing the required skill and knowledge is qualifying.
  • A bachelor’s or master’s degree in computer science, Data Science, or a related technical field.
  • Minimum of 5 years of experience in AI/ML engineering, including at least 3 years working with Microsoft Azure AI stack.
  • Minimum of 2 years of hands-on experience with Copilot Studio, Azure OpenAI, and Power Platform.
  • Proficiency in Python, Microsoft Graph API, and cloud-native development practices.
  • Experience with big data platforms such as Azure Data Lake.
  • Strong understanding of large language models (LLMs), natural language processing (NLP), and prompt engineering.
  • Demonstrated success deploying scalable, production-ready AI solutions in enterprise environments.
  • Excellent analytical, problem-solving, and communication skills.
  • Commitment to continuous learning in a rapidly evolving AI landscape.
Our Perks and Benefits:
  • Competitive total compensation package
  • Medical, dental and vision insurance
  • Retirement Savings program with generous company contribution
  • Hybrid working model
  • Health Savings Account with company contribution
  • Wellness program
  • Paid time off and personal days
  • 9 paid holidays
  • Paid Parental Leave
  • And more!

More About CHA
This pay range shown is a guideline. Min: $108,000 Max: $200,000 Compensation is based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location. 
Diversity, Equity and Inclusion
CHA is committed to advancing diversity, equity and inclusion within our organization, our membership, the care delivery of children’s hospitals and their communities and through the federal policymaking environment. With children’s hospitals we strive to ensure organizational cultures where everyone feels valued and actively participates in the mission of our organizations. Racism stands firmly in the way of improving children’s health. We remain vigilant in our quest for a diverse and inclusive community and in standing against racism and discrimination wherever it exists.
Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin, and protected veteran status, or disability status.

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