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Data Processing Jobs in Kentucky (NOW HIRING)

Data Engineer (Remote)

Louisville, KY · On-site +1

$104K - $125K/yr

Document data structures, processes, architectural decisions, and best practices for knowledge sharing * Develop, maintain, and optimize Snowflake objects (schemas, tables, views) and SQL ...

Data Engineer (Remote)

Louisville, KY · On-site +1

$104K - $125K/yr

Document data structures, processes, architectural decisions, and best practices for knowledge sharing * Develop, maintain, and optimize Snowflake objects (schemas, tables, views) and SQL ...

Data Entry Clerk

Lexington, KY · Hybrid

$16 - $18/hr

Ability to follow structured processes and maintain confidentiality. Additional Skills & Qualifications * 6+ months of experience in data entry, compliance, or billing support. * Experience in data ...

Data Entry Clerk

Lexington, KY · On-site

$16 - $18/hr

Ability to follow structured processes and maintain confidentiality. Additional Skills & Qualifications * 6+ months of experience in data entry, compliance, or billing support. * Experience in data ...

Data Engineer II

Louisville, KY · On-site

$110K - $132K/yr

You will bring practical experience in data processing and modeling within a data environment, including expertise in data modeling, test automation, and building reliable, trusted, and efficient ...

... Processing/Analytics/Science, Artificial Intelligence and Robotics - At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

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 ...

Responsibilities : • Implement and manage complex geospatial data processing and analysis routines • Perform geospatial imagery and LiDAR point cloud processing and analysis • Administer ArcSDE ...

Participates in the data gathering, data processing and data mining of large and complex datasets. * Supports the team in developing algorithms using advanced mathematical and statistical techniques ...

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Data Processing information

See Kentucky salary details

$10

$17

$30

How much do data processing jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for data processing in Kentucky is $17.60, according to ZipRecruiter salary data. Most workers in this role earn between $13.99 and $19.42 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Processing position, and why are they important?

To thrive in Data Processing, you need strong analytical abilities, attention to detail, and proficiency with spreadsheets and database management, often supported by an associate's degree or relevant experience. Familiarity with tools like Microsoft Excel, SQL, or data entry software, as well as certifications such as Certified Data Processor (CDP), are frequently expected. Strong organizational skills, time management, and the ability to troubleshoot problems efficiently are valued soft skills. These competencies are crucial for ensuring data accuracy, meeting deadlines, and supporting smooth information operations within an organization.

What are the typical daily responsibilities of someone working in Data Processing?

A typical day for a Data Processing professional involves entering, validating, and updating records in databases or spreadsheets to ensure data integrity. You may also be responsible for generating reports, cleaning large data sets, and identifying discrepancies or errors for correction. Collaboration with team members or departments is common to clarify data requirements and resolve issues. Staying organized and attentive to detail is essential because the quality of processed data can impact decision-making across the organization.

What is a Data Processing job?

A Data Processing job involves collecting, organizing, and managing data to ensure accuracy and accessibility. Professionals in this role use software tools to input, clean, analyze, and process data for businesses or organizations. They may also generate reports and automate workflows to streamline data handling. Strong attention to detail and proficiency in data management tools are essential for success in this field.

What job makes $10,000 a month without a degree?

In data processing, high-paying roles such as data analysts or data engineers can earn around $10,000 per month, especially with specialized skills in programming, database management, and data analysis tools. These positions often require experience and proficiency in software like SQL, Python, or cloud platforms, but may not always require a formal degree if skills are demonstrated through certifications or a strong portfolio.
What are the most commonly searched types of Data Processing jobs in Kentucky? The most popular types of Data Processing jobs in Kentucky are:
What cities in Kentucky are hiring for Data Processing jobs? Cities in Kentucky with the most Data Processing job openings:
Infographic showing various Data Processing job openings in Kentucky as of May 2026, with employment types broken down into 2% As Needed, 77% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $36,611 per year, or $17.6 per hour.
Data Engineer (Remote)

Data Engineer (Remote)

The Phia Group

Louisville, KY • On-site, Remote

$104K - $125K/yr

Full-time

Posted 12 days ago


Job description

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.
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

Experience and 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 prolong 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.