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Data Warehouse Engineer Jobs in Kentucky (NOW HIRING)

Parkland Community Health Plan

$120 - $160/hr

Two (2) years of leadership experience supporting data warehouse implementations and managing teams of database administrators, data engineers, and data architects.Skills or Special Abilities* Must ...

UsefulBI

$120 - $180/hr

Build and optimize data warehouses, data lakes, and data pipelines. * Define data integration strategies and best practices. * Collaborate with business, data engineering, and analytics teams.

RXinsider LTD.

$106 - $177/hr

Optimize data warehouse performance through query tuning, efficient data architecture, and platform ... Partner with engineers, analysts, and business stakeholders to deliver well-documented data ...

Eightelevengroup

$85 - $92/hr

Partner with engineering, analytics, and business stakeholders to define scalable and secure data solutions * Develop architectural standards, best practices, and recommendations for data platforms ...

Ethereum Technologies LLC

$83 - $152/hr

Work with data warehouse concepts (fact tables, dimension tables, star/snowflake schemas, slowly changing dimensions, partitioning, indexing). * Design and implement data comparison and ...

Confie

$110 - $160/hr

... Data Warehouse on Snowflake with transformation tools (e.g., Coalesce, WhereScape, Azure Data ... engineering, continuously improving the team's technical knowledge and skills On-call support ...

New

Meduit Group

$80 - $95/hr

The Data Implementation Engineer is responsible for designing, developing, and maintaining data ... Support data warehouse development and ongoing improvements to data architecture and performance

Gatekeeper Systems Inc.

$110 - $145/hr

You will own the backend data infrastructure -- relational database design, cloud data warehouse ... You will mentor developers and review their code. You will triage a customer issue in the morning ...

New

Invid, Llc.

$90 - $130/hr

... Data Warehouse, Dataflow Gen2, and pipelines) to design and implement scalable, reliable data ... Required Qualifications * 7+ years of experience in data engineering, data integration, or related ...

Union Square Hospitality Group

$94 - $128/hr

The Data and AI Engineer will own the data infrastructure that powers reporting and decision-making ... Hands-on production experience with AWS Redshift or comparable cloud data warehouse (Snowflake ...

New

SteerBridge, Inc.

$130 - $150/hr

... and warehousing solutions * Support data integration across multiple structured and unstructured data sources * Collaborate with data scientists, engineers, and stakeholders to support machine ...

Artha Nexgen

$120 - $170/hr

* The Senior Data Engineer is responsible for the design, construction, and operation of the company's enterprise data warehouse, consolidating data from multiple ERP platforms and supporting business ...

New

MFS International Australia Pty Ltd

$99 - $142/hr

In conjunction with the Investment Data Management Office, the Senior Investment Data Engineer ... warehouse solutions for reporting, analytics, and operational use cases. • Participate in ...

Nationwide IT Services, Inc.

$125 - $178/hr

Data Engineer / Databricks Engineer-Senior Location: Hybrid - Air National Guard Readiness Center ... Support data warehouse/lake administration, query optimization, Power BI dataflows, and secure ...

ActioNet, Inc.

$137 - $228/hr

* Software Engineer IV - Web/Database Development Software Engineer IV - Web/Database Development ... Experience supporting data warehousing, reporting, analytics, and business intelligence activities.

Reveleer

$260 - $360/hr

Reliability and adoption of the internal results API by downstream engineering teams. * Timeliness and trustworthiness of warehouse data and the reporting built on it. * Movement of data science ...

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Data Warehouse Engineer information

See Kentucky salary details

$75.1K

$109.9K

$139.4K

How much do data warehouse engineer jobs pay per year?

As of Aug 31, 2026, the average yearly pay for data warehouse engineer in Kentucky is $109,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,600.00 and $118,600.00 per year, depending on experience, location, and employer.

What is a data warehouse engineer?

Data Warehouse Engineers are IT professionals who design, build, and maintain systems used for storing and analyzing large volumes of data. They create data models, implement ETL (Extract, Transform, Load) processes, and ensure data integrity and optimized performance within the data warehouse environment. Their work enables organizations to efficiently store data from various sources and make it accessible for business intelligence and analytics. Data Warehouse Engineers often collaborate with data analysts, data scientists, and database administrators to support informed decision-making.

What are the key skills and qualifications needed to thrive as a data warehouse engineer?

To thrive as a Data Warehouse Engineer, you need expertise in database design, ETL processes, SQL, and data modeling, typically supported by a degree in computer science or a related field. Familiarity with tools like Microsoft SQL Server, Oracle, Informatica, and cloud platforms such as AWS Redshift or Google BigQuery, as well as certifications in these technologies, are valuable. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate with stakeholders and address data challenges efficiently. These skills ensure the reliable integration, storage, and retrieval of high-quality data, which is critical for business intelligence and decision-making.

What are some common challenges data warehouse engineers face when integrating data from multiple sources?

Data Warehouse Engineers often encounter challenges such as data inconsistency, varying data formats, and incomplete or duplicate records when integrating information from diverse systems. Addressing these issues requires careful planning, robust ETL (Extract, Transform, Load) processes, and close collaboration with source system owners and data analysts. Additionally, ensuring data quality and maintaining up-to-date documentation are crucial to support efficient troubleshooting and future scalability.

What is the difference between Data Warehouse Engineer vs Data Analyst?

AspectData Warehouse EngineerData Analyst
CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, Google CloudBachelor's in Statistics, Math, or related; certifications like Microsoft Data Analyst
Work EnvironmentDesigning, building, maintaining data warehouses; working with ETL toolsAnalyzing data, creating reports, visualizations
Industry UsageUsed in organizations managing large-scale data infrastructureUsed across industries for business insights and decision-making

While both roles work with data, Data Warehouse Engineers focus on building and maintaining data storage systems, whereas Data Analysts interpret data to generate insights. They often collaborate but have distinct technical and functional responsibilities.

What does a data warehouse engineer do?

A data warehouse engineer designs, develops, and maintains data storage systems that aggregate and organize large volumes of data from various sources. They use tools like SQL, ETL processes, and data modeling to ensure data is accessible, accurate, and optimized for analysis. Their work supports business intelligence and decision-making processes.

What are popular job titles related to Data Warehouse Engineer jobs in Kentucky?

For Data Warehouse Engineer jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Data Warehouse Engineer jobs in Kentucky look for?

The top searched job categories for Data Warehouse Engineer jobs in Kentucky are:

What are popular job titles related to Data Warehouse Engineer jobs in KY?

For Data Warehouse Engineer jobs in KY, the most frequently searched job titles are:

Data Warehouse Engineer jobs near you
Infographic showing various Data Warehouse Engineer job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $109,868 per year, or $52.8 per hour.

Data Warehouse Developer

Louisville, KY

Churchill Downs Incorporated
See more jobs at Churchill Downs Incorporatedexternal

$47.25 - $64.75/hr

Full-time

Posted 11 days ago

Job description

ABOUT CHURCHILL DOWNS INCORPORATED 

Churchill Downs Incorporated (“CDI”) (Nasdaq: CHDN) has been creating extraordinary entertainment experiences for more than 150 years, beginning with one of the most iconic and enduring events in sports and entertainment—the Kentucky Derby. Headquartered in Louisville, Kentucky, CDI blends a rich legacy with a forward-looking approach to growth. Through the acquisition, development, and operation of live and historical racing entertainment venues, the expansion of online wagering services and other technology businesses, and the ownership and operation of regional casino gaming properties, CDI offers diverse career opportunities across the country. Our success is driven by dedicated team members who are passionate about delivering exceptional experiences, embracing innovation, and helping shape the future of entertainment.

JOB SUMMARY

The Data Warehouse Developer will utilize (BI) development skills, including MicroStrategy, in a highly collaborative Scrum environment. As a part of the BI team, the Data Warehouse Developer will design, implement, and maintain our data warehouse and front end reporting systems that allow users to access to pre-designed reports and self-serve analysis. They will work with data warehouses and utilize Microsoft SQL Server and support our growing brick and mortar gaming facilities. Specifically, the Data Warehouse Developer will perform the following day-to-day job duties: Build and maintain Extraction, Transform, and Load (ETL) and Data Warehouse objects (including Transactional Replication/CDC, SQL Procedures, MicroStrategy semantic model, SSAS, MDS/DQS, BIML, PowerShell scripts); SSIS, Translate business requirements into detailed, production-level technical specifications and data models; Modify existing reports and/or develop new reports by analyzing databases, data sources, structures for the benefit of users; Use SQL including complex stored procedures, common table expressions, analytic and functions, query optimization, and indexing; Design, implement, and maintain normalized, operational data store, and dimensionally modeled database systems; Design and develop ETL processes while utilizing Microsoft SQL Server Integration Services (SSIS); Use object-oriented languages such as C#, PowerShell, or Python; Use Agile and Scrum methodologies to iterate quickly on product changes, develop user stories, and work through backlogs; Understand data management and data warehousing technologies related to data modeling, database administration and performance tuning, archiving, and disaster recovery; Work with multi-terabyte data sets; Design and build enterprise conceptual or logical data models; and Contribute to the design and optimization of CDI's data layer as the company's single layer of the truth.

EDUCATION AND EXPERIENCE

Education Requirement: Master’s degree in computer information technology, computer science, business analytics, data analytics, or a related field.

Experience Requirement: Two (2) years of experience as a data engineer or data developer.

REQUIRED SKILLS AND ABILITIES

Must have work experience in each of the following:  1) designing, implementing, and optimizing enterprise-scale data warehouse and operational data store architectures, including normalized and dimensionally modeled systems, serving as a single source of truth across business domains; 2) architecting and maintaining sophisticated ETL pipelines leveraging SSIS, BIML, Transactional Replication and Change Data Capture, with an emphasis on scalability, data quality, and performance in high-volume environments; 3) developing and maintaining semantic models and analytical layers using platforms such as MicroStrategy and SSAS, enabling governed self-service analytics while abstracting complex data structures for business users; and 4) advanced SQL development, including complex stored procedures, analytic functions, query optimization, and indexing strategies, specifically tuned for multi-terabyte data environments and mission-critical reporting systems.
#LI-DNI

CHURCHILL DOWNS INCORPORATED

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.

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