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Business Intelligence Engineer Jobs in Kentucky (NOW HIRING)

ClifyX is seeking a Decision Intelligence Engineer to build and deploy enterprise-scale decision ... ClifyX provides innovative business solutions which satisfy requirements for mission-critical ...

Responsibilities will include regular pair programming sessions and code reviews of medium scale ... The Business Intelligence Architects II : * Standardizes the quality assurance procedure for ...

Responsibilities will include regular pair programming sessions and code reviews of medium scale ... The Business Intelligence Architects II : * Standardizes the quality assurance procedure for ...

Responsibilities will include regular pair programming sessions and code reviews of medium scale ... The Business Intelligence Architects II : * Standardizes the quality assurance procedure for ...

$15.25 - $19/hr

Job Title: Business Intelligence UWEP Position Type: Internship - For College Credit Hours Only ... Familiarity of SQL, or other programming languages. We are an equal opportunity employer and all ...

$15.50 - $19.50/hr

Job Title: Business Intelligence UWEP Position Type: Internship - For College Credit Hours Only ... Familiarity of SQL, or other programming languages. We are an equal opportunity employer and all ...

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Business Intelligence Engineer information

See Kentucky salary details

$25

$49

$69

How much do business intelligence engineer jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for business intelligence engineer in Kentucky is $49.55, according to ZipRecruiter salary data. Most workers in this role earn between $42.60 and $55.34 per hour, depending on experience, location, and employer.

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.

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 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 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 are the most commonly searched types of Business Intelligence Engineer jobs in Kentucky? The most popular types of Business Intelligence Engineer jobs in Kentucky are:
What are popular job titles related to Business Intelligence Engineer jobs in Kentucky? For Business Intelligence Engineer jobs in Kentucky, the most frequently searched job titles are:
What cities in Kentucky are hiring for Business Intelligence Engineer jobs? Cities in Kentucky with the most Business Intelligence Engineer job openings:
Infographic showing various Business Intelligence Engineer job openings in Kentucky 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 $103,059 per year, or $49.5 per hour.

Decision Intelligence Engineer

ClifyX

Louisville, KY โ€ข On-site

Full-time

Re-posted 26 days ago


Job description

Job Summary:
ClifyX is seeking a Decision Intelligence Engineer to build and deploy enterprise-scale decision systems. The role requires hands-on experience with various reinforcement learning methods and a deep understanding of decision-making frameworks.
Qualifications:
Required:
โ€ข 3+ years building and deploying enterprise scale decision systems.
โ€ข Hands-on experience with implementing policy gradient methods (PPO, A3C), value-based approaches (DQN, Q-learning) and off-policy algorithms.
โ€ข Deep familiarity with the Bellman equation, reward shaping, exploration-exploitation tradeoff, constraint mapping and knowing common failure points of real-world reinforcement learning systems.
โ€ข Ability to diagnose issues with policy learning and collapse, credit assignment issues, and distributional shifts affecting performance of the model.
โ€ข Deep learning frameworks (tensorflow, pytorch), linear programming, Markov decision processes, Actor-Critic methods, Offline RL methods (CQL, Decision Transformer), probabilistic modeling, databricks, Ray RLLib, Gymnasium, PettingZoo (MARL).
Company:
ClifyX provides innovative business solutions which satisfy requirements for mission-critical reliability, scalability, interoperations. Founded in 1998, the company is headquartered in South Plainfield, USA, with a team of 501-1000 employees. The company is currently Late Stage.

ClifyX logo

About ClifyX

Sourced by ZipRecruiter

ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

South Plainfield, NJ, US

Year founded

1998