1

Data Engineer Jobs in Kentucky (NOW HIRING)

Data Engineer

Louisville, KY · On-site

$110K - $132K/yr

Data Engineer FLSA Status: Exempt Department: Enterprise Data Analytics Hours of Operation: Monday - Friday - 40 hours General Job Summary: Stock Yards Bank & Trust is seeking a skilled and detail ...

Data Engineer

Owensboro, KY · On-site

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Louisville, KY · On-site

$110K - $132K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Frankfort, KY · On-site

$99K - $119K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Bowling Green, KY · On-site

$112K - $134K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Lexington, KY · On-site

$112K - $135K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Covington, KY · On-site

$111K - $133K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer (Remote)

Louisville, KY · On-site +1

$104K - $125K/yr

The Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and analytics-ready datasets. You will be collaborating across multiple teams and ...

Data Engineer (Remote)

Louisville, KY · On-site +1

$104K - $125K/yr

The Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and analytics-ready datasets. You will be collaborating across multiple teams and ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Project - Data Engineer

Louisville, KY · On-site

$109K - $131K/yr

Deloitte is a leading consulting firm, and they are seeking an experienced Data Engineer - Project Delivery Analyst to support their Data & Analytics Foundry across various business product teams.

New

Project - Data Engineer

Louisville, KY · On-site

$110K - $132K/yr

As an experienced Data Engineer - Project Delivery Analyst you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so ...

New

Data Engineer II

Covington, KY · On-site

$111K - $133K/yr

Senior Data Engineer Duration: Long Term contract Location: Durham, NC or Jersey City, NJ or Westlake, TX or Boston, MA or Salt Lake City, UT or Merrimack, NH or Covington, KY after covid settles ...

Data Engineer - Manager

Louisville, KY · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Engineer - Manager, you will play a pivotal role in transforming raw data ...

Senior Data Engineer

Louisville, KY · Remote

$101K - $138K/yr

The Senior Data Engineer work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. The Senior Data ...

Senior Data Engineer

Louisville, KY · On-site

$101K - $138K/yr

The Senior Data Engineer work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. The Senior Data ...

Senior Data Engineer

Louisville, KY · Remote

$101K - $138K/yr

The Senior Data Engineer work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. The Senior Data ...

next page

Showing results 1-20

Data Engineer information

See Kentucky salary details

$38.6K

$112.7K

$154.2K

How much do data engineer jobs pay per year?

As of Jun 24, 2026, the average yearly pay for data engineer in Kentucky is $112,662.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $119,400.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, with salaries often higher than many other IT roles. Compensation varies based on experience, location, and industry, but strong technical skills in programming, databases, and cloud platforms typically lead to higher earnings.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipeline tools. Entry-level data engineering positions may be available for candidates with relevant internships or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect some prior experience. Certifications or coursework in data management can also be beneficial for those starting out.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of expertise and a strong track record in data architecture and engineering.
What are the most commonly searched types of Data Engineer jobs in Kentucky? The most popular types of Data Engineer jobs in Kentucky are:
What are popular job titles related to Data Engineer jobs in Kentucky? For Data Engineer jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Kentucky look for? The top searched job categories for Data Engineer jobs in Kentucky are:
What cities in Kentucky are hiring for Data Engineer jobs? Cities in Kentucky with the most Data Engineer job openings:
What are popular job titles related to Data Engineer jobs in KY? For Data Engineer jobs in KY, the most frequently searched job titles are:
Infographic showing various Data Engineer job openings in Kentucky as of June 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $112,662 per year, or $54.2 per hour.
Data Engineer

$110K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 7 days ago


Stock Yards Bank & Trust rating

8.8

Company rating: 8.8 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

12th of 141 rated banks


Job description

Stock Yards Bancorp, Inc. (NASDAQ: SYBT), parent company of Stock Yards Bank & Trust Company, with offices in Louisville, Central, Eastern and Northern Kentucky, as well as the Indianapolis, Indiana and Cincinnati, Ohio metropolitan markets.
Job Title: Data Engineer
FLSA Status: Exempt
Department: Enterprise Data Analytics
Hours of Operation: Monday - Friday - 40 hours
General Job Summary:
Stock Yards Bank & Trust is seeking a skilled and detail-oriented Data Engineer to support the bank's data analytics initiatives. The selected candidate will work closely with data analysts, data scientists, and key stakeholders across the bank to design, develop, and maintain scalable data pipelines and infrastructure. This role involves designing and implementing ETL processes, ensuring data quality and integrity, and developing robust data models to support comprehensive reporting and analytics needs. The ideal candidate will have a strong technical background in data engineering, experience with various database architectures and ETL tools, and a passion for leveraging data to drive business value. This is an onsite position with no relocation assistance provided.
Organizational Duties and Responsibilities:
  • Supports the mission, vision and philosophy of the bank. Complies willingly with all organizational policies and procedures.
  • Supports all functions that maintain compliance with regulatory agencies.

Essential Duties and Responsibilities:
  • Design, develop, and maintain scalable data pipelines to support the bank's data analytics initiatives
  • Implement and optimize ETL processes to ensure efficient data flow and integration from various sources, including APIs, SFTP, cloud and on-prem systems
  • Collaborate and communicate effectively with analysts and business stakeholders to empower self-service analytics, facilitate the discovery of insights, and create intuitive visual representations of data
  • Develop and maintain data models to support reporting, analytics, and data visualization needs
  • Developing and implementing data security measures to protect sensitive information
  • Ensure data quality and integrity by implementing data governance practices, including data validation, cleansing, and classification
  • Monitor and troubleshoot data pipeline performance to ensure reliability, efficiency and cost optimization
  • Maintain healthy code repositories and leverage source control systems (e.g., Git) to ensure efficient version management, seamless collaboration, and adherence to best practices in code management
  • Develop and maintain an understanding of the bank's data sources and how they can be used to provide business value for the bank
  • Stay up to date with emerging technologies and industry trends to drive innovation and maintain a competitive edge in data engineering
  • Develop and maintain documentation for data pipelines, processes, and data models

Working Conditions: Works in office with occasional travel to bank locations, training seminars and conferences
Education: Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Administration or related field
Experience:
  • 5+ years of experience working in an analytics/data engineering role
  • Track record of success in developing and deploying creative insights, services and solutions that drove increased business value
  • Financial services background is a plus
  • 3+ years working on maintaining databases with a focus on improving data ingestion pipelines
  • Expertise in designing and implementing star schema dimensional models, establishing a single source of truth for analytical reporting, dashboards and insights discovery
  • Experience with various database architectures (e.g. SQL Server, Snowflake, Databricks, Azure)
  • Experience with various visualization solutions (e.g. Tableau, PowerBI, Sigma, MicroStrategy)
  • Experience with various ETL and orchestration solutions (e.g. Informatica, Fivetran, DBT, Matillion)
  • Proficient in writing advanced SQL to handle complex data transformations

Specific Skills:
  • Motivated, self-starter
  • Track record of working autonomously with organizational and time management skills
  • Proven ability to manage multiple projects simultaneously while maintaining high standards of quality and meeting deadlines
  • Enjoy supporting team members by sharing technical knowledge and helping solve problems
  • Ability to develop and follow documented policies and procedures to ensure proper compliance
  • Strong technical acumen and decision-making skills
  • Strong problem-solving skills with the ability to troubleshoot and resolve complex technical issues efficiently
  • Exhibit a professional appearance and demeanor
  • Ability to work flexible work schedules, after-hours as required
  • Professional verbal and written communication skills
  • Ability to use the Microsoft Office M365 suite of products

Physical requirements:
The physical demands described here are representative of those that must be met by an employee in order to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • Primarily sedentary work performed in an office environment
  • Ability to sit for extended periods of time while working at a computer
  • Frequent use of hands and fingers to operate a computer, keyboard, mouse, and other office equipment
  • Ability to speak clearly and hear well enough to communicate with clients, team members, and vendors via phone, video, and in person
  • Visual acuity sufficient to read computer screens, printed documents, and financial data
  • Occasional standing, walking, bending, or reaching
  • Ability to lift and carry up to 10-15 pounds occasionally (e.g., files, office supplies)

Benefits:
  • 401(K) with a company match of up to 6%
  • ESOP employer match
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Cancer/Disease insurance
  • Accident insurance
  • Flexible Spending Accounts
  • Flexible Savings Accounts
  • Health Savings Accounts
  • Bank paid Life/AD&D insurance
  • Voluntary Life/AD&D insurance
  • Bank paid Short-Term and Long-Term Disability insurance
  • Employee Stock Purchase Plan
  • Employee Assistance Program