Data Engineer Visa Sponsorship Jobs in Kentucky
Data engineer visa sponsorship jobs in Kentucky are concentrated in Louisville and Lexington, where companies like Humana, Kindred Healthcare, and Tempur Sealy have built out data infrastructure teams. The state's strengths in healthcare analytics, logistics, and manufacturing create steady demand for engineers who can build and maintain production data pipelines.
Find Data Engineer JobsOverview
Showing 5 of 25+ Data Engineer Jobs in Kentucky with Visa Sponsorship
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all Data Engineer Jobs in Kentucky with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Engineer Jobs in Kentucky with Visa Sponsorship.
Get Access To All JobsINTRODUCTION
The Phia Group is a service-oriented organization assisting employee health plans nationwide. We provide our clients with innovative cost-cutting solutions and constantly expanding service offerings. We continue to enjoy growth thanks to our most valuable resource – our talented and committed team.
At The Phia Group, whose mission is to provide high quality yet affordable healthcare to American employees and their families, you can look forward to not only unparalleled benefits for yourself but also being immersed in a company that was named one of USA Today’s Top Workplaces for 2026. Meanwhile, from a regional perspective, both The Boston Globe and Louisville Business First also recognized our unwavering commitment to upholding an internal culture of inclusivity, enjoyment, and empathy for our valued employees by listing The Phia Group in their respective lists for the Top Places to Work in 2026.
ROLE AND RESPONSIBILITIES
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 stakeholders to solve complex problems and support data-driven initiatives.
Essential Duties and responsibilities include the following; other duties may be assigned:
- Build, maintain, and optimize data pipelines utilizing Azure Data Factory, ensuring data is ingested, transformed, and delivered to Snowflake reliably for analytics
- Implement monitoring, alerts, and testing of data pipeline performance, data quality metrics, and lineage to ensure trustworthy data delivery
- Troubleshoot data issues and perform root cause analysis to proactively resolve operational issues
- Document data structures, processes, architectural decisions, and best practices for knowledge sharing
- Develop, maintain, and optimize Snowflake objects (schemas, tables, views) and SQL transformations to produce curated, analytics-ready datasets
- Collaborate with analysts, stakeholders, and product owners to translate business needs into data requirements and stable technical implementations
- Enable data for AI/ML use cases by preparing feature-rich datasets, supporting feature engineering, and ensuring data consistency for model training and inference
- Support deployment and operationalization of machine learning models by integrating pipelines with ML workflows (e.g., batch/real-time scoring)
- Continually improve ongoing reporting and analytics, automating or simplifying self-service or manual processes
- Implement version control practices for all data engineering code and documentation
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related field; or equivalent experience
- 5+ years of experience in data engineering or business intelligence roles working with ETL, data modeling, data architecture, and developing pipelines and applications for analytics (e.g., BI, reporting, machine learning, deep learning)
- Solid programming skills in advanced SQL, Python, or other programming languages for data processing and automation
Experience supporting or working with AI/ML workflows, including:
- Data preparation and feature engineering for machine learning models
- Integration of data pipelines with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch, or similar)
- Understanding of model lifecycle concepts (training, validation, deployment, monitoring)
- Expertise working with Snowflake for data warehousing, including experience with schema design, performance tuning, and optimization
- Proficiency with Git, Azure DevOps, and collaborative development best practices
- Experience designing, developing, and deploying end-to-end pipelines using Azure Data Factory
WORKING CONDITIONS / PHYSICAL DEMANDS
Sitting at workstation for prolonged periods of time. Extensive computer work. Workstation may be exposed to overhead fluorescent lighting and air conditioning. Fast paced work environment. Operates office equipment including personal computer, copiers, and fax machines.
This job description is not intended to be and should not be construed as an all-inclusive list of all the responsibilities, skills or working conditions associated with the position. While it is intended to accurately reflect the position activities and requirements, the company reserves the right to modify, add or remove duties and assign other duties as necessary.
External and internal applicants, as well as position incumbents who become disabled as defined under the Americans with Disabilities Act, must be able to perform the essential job functions (as listed here) either unaided or with the assistance of a reasonable accommodation to be determined by management on a case by case basis.
INTRODUCTION
The Phia Group is a service-oriented organization assisting employee health plans nationwide. We provide our clients with innovative cost-cutting solutions and constantly expanding service offerings. We continue to enjoy growth thanks to our most valuable resource – our talented and committed team.
At The Phia Group, whose mission is to provide high quality yet affordable healthcare to American employees and their families, you can look forward to not only unparalleled benefits for yourself but also being immersed in a company that was named one of USA Today’s Top Workplaces for 2026. Meanwhile, from a regional perspective, both The Boston Globe and Louisville Business First also recognized our unwavering commitment to upholding an internal culture of inclusivity, enjoyment, and empathy for our valued employees by listing The Phia Group in their respective lists for the Top Places to Work in 2026.
ROLE AND RESPONSIBILITIES
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 stakeholders to solve complex problems and support data-driven initiatives.
Essential Duties and responsibilities include the following; other duties may be assigned:
- Build, maintain, and optimize data pipelines utilizing Azure Data Factory, ensuring data is ingested, transformed, and delivered to Snowflake reliably for analytics
- Implement monitoring, alerts, and testing of data pipeline performance, data quality metrics, and lineage to ensure trustworthy data delivery
- Troubleshoot data issues and perform root cause analysis to proactively resolve operational issues
- Document data structures, processes, architectural decisions, and best practices for knowledge sharing
- Develop, maintain, and optimize Snowflake objects (schemas, tables, views) and SQL transformations to produce curated, analytics-ready datasets
- Collaborate with analysts, stakeholders, and product owners to translate business needs into data requirements and stable technical implementations
- Enable data for AI/ML use cases by preparing feature-rich datasets, supporting feature engineering, and ensuring data consistency for model training and inference
- Support deployment and operationalization of machine learning models by integrating pipelines with ML workflows (e.g., batch/real-time scoring)
- Continually improve ongoing reporting and analytics, automating or simplifying self-service or manual processes
- Implement version control practices for all data engineering code and documentation
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related field; or equivalent experience
- 5+ years of experience in data engineering or business intelligence roles working with ETL, data modeling, data architecture, and developing pipelines and applications for analytics (e.g., BI, reporting, machine learning, deep learning)
- Solid programming skills in advanced SQL, Python, or other programming languages for data processing and automation
Experience supporting or working with AI/ML workflows, including:
- Data preparation and feature engineering for machine learning models
- Integration of data pipelines with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch, or similar)
- Understanding of model lifecycle concepts (training, validation, deployment, monitoring)
- Expertise working with Snowflake for data warehousing, including experience with schema design, performance tuning, and optimization
- Proficiency with Git, Azure DevOps, and collaborative development best practices
- Experience designing, developing, and deploying end-to-end pipelines using Azure Data Factory
WORKING CONDITIONS / PHYSICAL DEMANDS
Sitting at workstation for prolonged periods of time. Extensive computer work. Workstation may be exposed to overhead fluorescent lighting and air conditioning. Fast paced work environment. Operates office equipment including personal computer, copiers, and fax machines.
This job description is not intended to be and should not be construed as an all-inclusive list of all the responsibilities, skills or working conditions associated with the position. While it is intended to accurately reflect the position activities and requirements, the company reserves the right to modify, add or remove duties and assign other duties as necessary.
External and internal applicants, as well as position incumbents who become disabled as defined under the Americans with Disabilities Act, must be able to perform the essential job functions (as listed here) either unaided or with the assistance of a reasonable accommodation to be determined by management on a case by case basis.
Data Engineer Job Roles in Kentucky
See all Data Engineer Jobs in Kentucky
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Data Engineer Jobs in KentuckyData Engineer Jobs in Kentucky: Frequently Asked Questions
Which companies sponsor visas for data engineers in Kentucky?
Louisville-based Humana is among the most active sponsors, consistently filing H-1B visa petitions for data and analytics roles. Kindred Healthcare, Tempur Sealy, and Ashland Global Holdings have also appeared in federal LCA disclosure data for technical positions. Regional financial institutions and logistics operators headquartered in the state round out the sponsoring employer pool, though volume is lower than in major coastal tech hubs.
Which visa types are most common for data engineer roles in Kentucky?
The H-1B is the most common visa category for data engineers in Kentucky, as the role consistently qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, information systems, or a closely related field. Candidates already holding L-1B intracompany transferee status or OPT through the University of Kentucky or University of Louisville also appear in employer filings for these roles.
Which cities in Kentucky have the most data engineer sponsorship jobs?
Louisville accounts for the largest share of data engineer sponsorship activity in Kentucky, driven by its concentration of healthcare, logistics, and corporate headquarters. Lexington is a secondary market, with demand tied to the University of Kentucky's research programs and regional technology employers. Outside these two cities, sponsorship opportunities are limited, and most internationally mobile candidates target one of these two metros.
How to find data engineer visa sponsorship jobs in Kentucky?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search for data engineer roles in Kentucky without sorting through postings from employers who won't sponsor. The platform focuses on positions where sponsorship has been confirmed or is indicated, which saves significant time compared to reviewing unfiltered listings. Start by filtering to Kentucky and the data engineer role category to see what's currently active.
Are there any Kentucky-specific considerations for data engineers seeking visa sponsorship?
Kentucky's data engineering market is heavily weighted toward healthcare and logistics, so candidates with experience in those domains, particularly healthcare data standards like HL7 or FHIR, or supply chain data systems, tend to align well with local employer needs. The University of Kentucky and University of Louisville produce graduate talent in data-related fields, which means employers in the state have established pipelines and some familiarity with sponsoring OPT and STEM OPT extension holders.
What is the prevailing wage for sponsored data engineer jobs in Kentucky?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.