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Data Engineer Intern Jobs in Kentucky (NOW HIRING)

$100 - $140/hr

... intern. The team works closely with the Data Analytics team s and stakeholders across Business Technology to deliver enterprise AI capabilities. The AI Engineer II plays a critical role in building ...

$74 - $83/hr

We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. As a Software Engineering Intern, you ...

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The data science intern will help drive proactive and predictive insights that inform strategic ... Engineering, Supply Chain Management/Logistics, Finance What You Need * Currently pursuing a ...

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The data science intern will help drive proactive and predictive insights that inform strategic ... Engineering, Supply Chain Management/Logistics, Finance What You Need * Currently pursuing a ...

New

The data science intern will help drive proactive and predictive insights that inform strategic ... Engineering, Supply Chain Management/Logistics, Finance What You Need * Currently pursuing a ...

New

The data science intern will help drive proactive and predictive insights that inform strategic ... Engineering, Supply Chain Management/Logistics, Finance What You Need * Currently pursuing a ...

New

... Data Manager Intern (Federal Work-Study) Company Overview Key Responsibilities: Your primary ... This hybrid role balances technical process engineering with active peer education, providing a ...

The data science intern will help drive proactive and predictive insights that inform strategic ... Engineering, Supply Chain Management/Logistics, Finance What You Need * Currently pursuing a ...

New

The data science intern will help drive proactive and predictive insights that inform strategic ... Engineering, Supply Chain Management/Logistics, Finance What You Need * Currently pursuing a ...

New

$74 - $83/hr

At Databricks, we are passionate about helping data teams solve the world\'s toughest problems ... As a Software Engineering Intern, you will join a team of engineers to build features that ...

New

$52 - $74/hr

Analyze, test, and debug system performance through simulation and real-world data, conducting root ... full-time engineer upon successful completion of the program. The hourly rate for the Intern ...

New

$40/hr

The Software Engineer Intern implements developer tools or product features on a rapid-release ... A solid foundation in computer science, with competencies in data structures, algorithms, and ...

$40/hr

The Software Engineer Intern implements developer tools or product features on a rapid-release ... A solid foundation in computer science, with competencies in data structures, algorithms, and ...

$40/hr

The Software Engineer Intern implements developer tools or product features on a rapid-release ... A solid foundation in computer science, with competencies in data structures, algorithms, and ...

Showing results 21-40

Data Engineer Intern information

See Kentucky salary details

$11

$22

$33

How much do data engineer intern jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for data engineer intern in Kentucky is $22.07, according to ZipRecruiter salary data. Most workers in this role earn between $17.93 and $25.05 per hour, depending on experience, location, and employer.

What does a Data Engineer Intern do?

A Data Engineer Intern supports the design, development, and maintenance of data pipelines and databases within an organization. They assist in collecting, cleaning, and organizing raw data, ensuring it is accessible and usable for data analysts and scientists. Interns may work with various tools and programming languages such as SQL, Python, and cloud platforms to help manage large datasets. Their responsibilities often include troubleshooting data issues, optimizing data workflows, and learning best practices in data engineering. This role provides hands-on experience in data infrastructure and is an excellent starting point for a career in data engineering.

What are the key skills and qualifications needed to thrive as a Data Engineer Intern?

To thrive as a Data Engineer Intern, you typically need a solid understanding of programming languages like Python or Java, introductory experience with data structures, and familiarity with databases, often supported by coursework in computer science or related fields. Familiarity with tools such as SQL, cloud platforms (e.g., AWS or Azure), and data pipeline frameworks like Apache Spark or Airflow is common and highly valued. Strong problem-solving abilities, attention to detail, and effective communication help interns collaborate and learn quickly in team environments. These skills and traits are crucial for building, maintaining, and optimizing data systems that support reliable analysis and business insights.

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

AspectData Engineer InternData Analyst Intern
Required SkillsSQL, Python, ETL, data pipeline developmentExcel, SQL, data visualization tools
Work EnvironmentData engineering teams, cloud platformsBusiness intelligence teams, reporting tools
Industry UsageTech, finance, healthcareRetail, marketing, finance

Data Engineer Interns focus on building and maintaining data pipelines and infrastructure, requiring programming and database skills. Data Analyst Interns analyze data to generate insights, emphasizing visualization and reporting. Both roles are common in data-driven industries but serve different functions within organizations.

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 Intern jobs in Kentucky?

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

What cities in Kentucky are hiring for Data Engineer Intern jobs?

Cities in Kentucky with the most Data Engineer Intern job openings:

Infographic showing various Data Engineer Intern 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 $45,916 per year, or $22.1 per hour.

Data and Analytics - AI Engineer II

Woodmenlife

On-site

$100 - $140/hr

Other

Posted 4 days ago


Key responsibilities

  • Design and develop AI/ML solutions aligned with business objectives

  • Build and deploy RAG augmented CoPilots into enterprise production environments

  • Monitor model performance and implement continuous improvements


Job description

WoodmenLife Home Office, 1700 Farnam Street, Omaha, Nebraska, United States of America •

Omaha, NE, USA

Job Description

Posted Thursday, August 27, 2026 at 5:00 AM

Requisition Job Title: AI Engineer II Division: Business Technology Department: Data & Analytics Location: Home Office (Hybrid – Omaha, NE preferred)

PLEASE NOTE: WoodmenLife will not sponsor applicants for work visas for this position. Applicants must be currently authorized to work in the United States on a full-time basis.

To be considered for this position, applicants must submit a resume that includes their full name, current residential address, email address, and phone number. Resumes that do not contain all required contact information will not be considered.

Role Overview How This Role Fits into WoodmenLife

This role is part of a newly formed AI team within the Data & Analytics function, currently consisting of an AI Engineer Lead (III), Data Scientist I, and an AI Engineer intern. The team works closely with the Data Analytics team s and stakeholders across Business Technology to deliver enterprise AI capabilities.

The AI Engineer II plays a critical role in building and deploying scalable, production-grade AI solutions that support core business functions. This position helps drive WoodmenLife’s transformation into an AI-first organization, modernizing processes across underwriting, claims, customer experience, and risk assessment.

Why You’ll Love This Role

WoodmenLife is seeking an AI Engineer II to help bring AI solutions from concept to reality across the enterprise. In this role, you’ll build systems that go beyond experimentation—delivering real, measurable business impact.

This position is ideal for someone passionate about applying AI in production environments, solving meaningful business problems, and working across a modern cloud-based ecosystem. You’ll gain exposure to end-to-end AI delivery, collaborate with cross‑functional teams, and play a foundational role in scaling AI capabilities across the organization.

WoodmenLife offers a supportive, collaborative environment that encourages growth, innovation, and continuous learning.

This is the Life (WoodmenLife)

As a not-for-profit life insurance company, WoodmenLife is devoted to protecting the financial futures of families and making a difference in hometowns across America. With over 13 5 years of success, our commitment extends beyond our members—we invest in our associates.

We provide an environment that encourages professional growth, creativity, and innovation, while supporting meaningful work that directly impacts our members and communities.

What You’ll Do Key Functions
  • Design and develop AI/ML solutions aligned with business objectives
  • Build and deploy RAG augmented CoPilots into enterprise production environments
  • Develop data pipelines and infrastructure to support AI workloads
  • Monitor model performance and implement continuous improvements
  • Ensure AI solutions meet security, compliance, and governance standards
Day-to-Day Responsibilities
  • Design and build AI/ML solutions for various business units
  • Design and i ntegrate Agentic processes into enterprise systems and workflows
  • Maintain and optimize data pipelines for training and inference
  • Monitor model accuracy, drift, and performance metrics
  • Collaborate with cross-functional teams to deliver scalable solutions
  • Participate in code reviews, documentation, and best practice development
  • Build prototypes, MVPs, and production-ready AI applications
  • Develop agentic workflows and intelligent automation solutions
  • Implement APIs and services for agent integration
  • Apply AIOps/ MLOps practices for deployment, monitoring, and lifecycle management
  • Partner with Data Teams , IT, and business stakeholders
  • Contribute to enterprise AI strategy and adoption
  • Stay current with emerging AI tools and technologies
  • Promote responsible AI practices including fairness, explainability, and compliance
Tools & Technologies

Languages: Python, SQL, C#

Frameworks: TensorFlow, PyTorch , ML.NET

Data Platforms: Snowflake (preferred), SQL Server, Fabric

Projects & Initiatives
  • Advancing enterprise AI/ML capabilities and platforms
  • Building intelligent automation and agent-based workflows
  • Strengthening the organization’s data and AI foundation
  • Driving responsible AI governance and compliance practices
  • Expanding AI adoption across business functions
Qualifications Minimum Qualifications
  • Bachelor’s degree in Computer Science , Data Science, or related field
  • 3–5 years of experience developing AI/ML solutions in production environments
  • Strong programming skills in Python, SQL, and C#
  • Experience with machine learning, deep learning, or NLP
  • Experience with cloud platforms and MLOps practices
  • Strong analytical, problem-solving, and communication skills
  • Ability to manage multiple priorities and meet deadlines
Preferred Qualifications
  • Experience in insurance or financial services
  • Familiarity with underwriting, claims, or risk workflows
  • Experience with Microsoft technology stack and Snowflake
  • Exposure to responsible AI and governance frameworks

AI Engineers may advance to AI Engineer III, with opportunities to expand into senior engineering, architecture, or AI leadership roles as the organization continues scaling its AI capabilities.

Operational Considerations

This is a hybrid role based in Omaha, NE. Candidates should be able to work on‑site as needed to support team collaboration and strategic initiatives.

Leadership Insight

Leadership style is people-centered, focusing on understanding individual strengths, empowering ownership, and fostering a collaborative environment where team members can grow and succeed.

WoodmenLife offers a competitive compensation and benefits package. Learn more: https://www.woodmenlife.org/careers/home-office/benefits/ . Employment is contingent upon successful completion of background checks, which may include criminal, credit, fingerprinting (where required ), drug screening, and reference checks. WoodmenLife is committed to creating an inclusive environment that values diverse perspectives and provides equal opportunities for growth, leadership, and service .

WoodmenLife Home Office, 1700 Farnam Street, Omaha, Nebraska, United States of America,

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