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Bi Engineer Jobs in Kansas (NOW HIRING)

BI Engineer with QuickSight

Overland Park, KS

$48.25 - $62.75/hr

Business Intelligence & AI Automation Engineer Amazon Quick Suite / AWS Analytics Role Overview We are seeking a skilled Business Intelligence (BI) and AI Automation Engineer with strong expertise in ...

BI Developer

Lenexa, KS · On-site

$85K - $95K/yr

BI Developer Location: Lenexa, KS, United States System One is seeking a BI Developer for a long-term, hybrid-onsite opportunity in Lenexa, KS. Responsibilities * Translate business needs to ...

BI Developer Location: Lenexa, KS, United States System One is seeking a BI Developer for a long-term, hybrid-onsite opportunity in Lenexa, KS. Responsibilities * Translate business needs to ...

Data & BI Developer

Overland Park, KS · On-site

$85K - $88K/yr

A Data and BI Developer is expected to support MTW's Software Development team by providing guidance for effective SQL development and query optimization. A Data and BI Developer will work in ...

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 ...

Software Engineer AI/ML

Overland Park, KS

$108K - $130K/yr

We're looking for an AI Engineer to help transform GE Aerospace operational data into production ... Collaborate with BI team to embed AI features into existing applications that enable natural ...

Project Engineer Who You Are: You're a dynamic problem-solver with a passion for construction ... Besides on-the-job training, we offer annual and bi-annual sessions at corporate, ensuring you're ...

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Bi Engineer information

See Kansas salary details

$34.8K

$90.7K

$122.6K

How much do bi engineer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for bi engineer in Kansas is $90,748.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,900.00 and $103,900.00 per year, depending on experience, location, and employer.

Is BI a good career?

A Business Intelligence (BI) Engineer is responsible for designing and implementing data solutions to support decision-making. The role typically requires skills in data analysis, SQL, and BI tools like Tableau or Power BI, and offers opportunities for growth in data-driven industries. It is considered a stable and in-demand career path with competitive salaries and evolving technology stacks.

What are BI Engineers?

BI Engineers, or Business Intelligence Engineers, are professionals who design, develop, and maintain data solutions to help organizations make informed business decisions. They build and manage databases, data pipelines, and reporting systems that transform raw data into actionable insights. BI Engineers often work with tools such as SQL, ETL (Extract, Transform, Load) frameworks, and visualization platforms like Tableau or Power BI. Their work enables companies to analyze trends, identify opportunities, and improve overall performance.

What is the difference between Bi Engineer vs Data Analyst?

AspectBi EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering, or related field; often certifications in data toolsBachelor's in Statistics, Mathematics, or related field; certifications in data analysis tools
Work EnvironmentData warehouses, ETL pipelines, cloud platformsData visualization tools, spreadsheets, reporting platforms
Employer & Industry UsageTech companies, finance, healthcare, retailBusiness, marketing, finance, healthcare
Common Search & Comparison IntentUnderstanding technical data infrastructure rolesInterpreting data for business insights

Bi Engineers focus on building and maintaining data pipelines, warehouses, and infrastructure, requiring technical skills in data engineering. Data Analysts interpret data to generate reports and insights, emphasizing analytical skills. While both roles work with data, Bi Engineers handle the technical backbone, whereas Data Analysts focus on data interpretation for decision-making.

What does a BI engineer do?

A BI (Business Intelligence) engineer designs, develops, and maintains data systems and dashboards to help organizations analyze and visualize data for decision-making. They work with tools like SQL, data warehouses, and visualization platforms, often requiring strong analytical skills and knowledge of data modeling. BI engineers ensure data accuracy and accessibility for business insights.

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

To thrive as a BI Engineer, you need strong analytical skills, proficiency in data modeling, and a solid background in computer science or information systems. Familiarity with BI tools such as Power BI, Tableau, or Looker, as well as expertise in SQL, ETL processes, and data warehousing technologies, is typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills help you convey complex insights to stakeholders. These skills are crucial for transforming raw data into actionable business intelligence that drives informed decision-making.

What engineers make $500,000?

Senior engineers in fields such as software, petroleum, and aerospace engineering can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. High-level roles typically require extensive experience, advanced skills, and sometimes leadership responsibilities or specialized certifications.

What is the salary of a BI engineer in the US?

The average salary of a Business Intelligence (BI) engineer in the US ranges from $80,000 to $120,000 annually, depending on experience, location, and skills. Senior BI engineers with expertise in tools like Tableau, Power BI, or SQL can earn higher salaries, often exceeding $130,000. Certifications and proficiency in data analysis and visualization are also factors that influence compensation.

How does a BI Engineer typically collaborate with data analysts and business stakeholders to deliver actionable insights?

A BI Engineer often works closely with data analysts to design data models, build efficient ETL pipelines, and ensure the accuracy and accessibility of data within business intelligence tools. They partner with business stakeholders to gather requirements, translate business needs into technical solutions, and present data in a way that supports decision-making. Effective communication and a collaborative mindset are crucial, as BI Engineers frequently participate in meetings to align on project goals, clarify data definitions, and iterate on dashboards or reports based on feedback.
What are popular job titles related to Bi Engineer jobs in Kansas? For Bi Engineer jobs in Kansas, the most frequently searched job titles are:
What cities in Kansas are hiring for Bi Engineer jobs? Cities in Kansas with the most Bi Engineer job openings:

BI Engineer with QuickSight

Turing IT Labs

Overland Park, KS

$48.25 - $62.75/hr

Other

Posted yesterday


Job description

Job Title: Business Intelligence & AI Automation Engineer Amazon Quick Suite / AWS Analytics

Role Overview

We are seeking a skilled Business Intelligence (BI) and AI Automation Engineer with strong expertise in Amazon Quick Suite (including QuickSight) and AWS analytics services to support business teams in building scalable, self-service reporting solutions and intelligent.

Preferred Qualifications

  • Hands-on experience with Amazon Quick Suite (Quick Chat, Quick Flows, Quick Automate, Quick Research, Quick Spaces).
  • Experience building conversational AI agents, chatbots, or automation workflows.
  • Experience with API integrations, webhooks, and enterprise application connectors (Salesforce, ServiceNow, Slack, Jira).
  • Experience building QuickSight templates, themes, and reusable datasets.
  • Experience with BI governance and semantic layer design.
  • Familiarity with data pipelines and ETL frameworks.
  • Knowledge of AWS cost optimization strategies.
  • Experience supporting large-scale enterprise reporting environments.
  • Experience with other BI tools such as Tableau, Power BI, or Looker.
  • Experience with low-code/no-code automation platforms (Zapier, Power Automate, Workato).

Key Skills

  • Amazon Quick Suite (QuickSight, Quick Chat, Quick Flows, Quick Automate, Quick Research)
  • SQL & Data Modeling
  • AWS Analytics Stack
  • Dashboard Design
  • AI Agent Design & Configuration
  • Workflow Automation & Business Process Optimization
  • BI Architecture
  • Self-Service Analytics Enablement
  • Performance Optimization
  • Cost Optimization
  • API Integration & Enterprise Connectors
  • Stakeholder Communication