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Data Engineer Jobs in Kentucky (NOW HIRING)

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Data Governance- Manager

Louisville, KY · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Perform feature engineering, experimentation, model evaluation, benchmarking, and performance ... Develop scripts and processes for data scraping, collection, cleansing, normalization, and ...

Partner with data engineers, business analysts, and stakeholders to translate business needs into robust data structures. Define and enforce data modeling standards, best practices, and naming ...

New

Data Bricks engineer

Louisville, KY · On-site

$110K - $132K/yr

Role Description: Data Bricks engineer with Experience in AEP integrations Essential Skills: Data Bricks engineer with Experience in AEP integrations Desirable Skills: Not listed Keywords: Not listed ...

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Data Engineer information

See Kentucky salary details

$38.6K

$112.7K

$154.2K

How much do data engineer jobs pay per year?

As of Jul 19, 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.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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.

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 pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
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 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:
Lead Data Engineer - Modernization & Reliability

Lead Data Engineer - Modernization & Reliability

Humana

Louisville, KY • Remote

$98K - $129K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Humana rating

7.9

Company rating: 7.9 out of 10

Based on 262 frontline employees who took The Breakroom Quiz

158th of 281 rated insurance


Job description

Become a part of our caring community
The Lead Data Engineer is responsible for leading the modernization, optimization, and stabilization of the Wisconsin Medicaid Market's data platform ecosystem across two independent health plan technology stacks. This role owns the market's Data Warehouse and ODS, drives ETL/data movement strategy (including SSIS modernization), and improves the reliability, observability, and security posture of data pipelines supporting critical Medicaid operations.
The Lead Data Engineer partners closely with the Market BI team as their IT counterpart to improve data access and flow, including establishing and managing Databricks pipeline patterns and platform enablement as the BI environment evolves.

The Lead Data Engineer owns and evolves the Wisconsin Medicaid Market's data stores and data movement ecosystem, including the Data Warehouse and ODS, and the ETL processes that connect vendor and internal systems. This role is accountable for modernizing and optimizing the market's data platform to improve reliability, reduce technical debt, strengthen observability/fault tolerance, and increase engineering efficiency in a complex dual-stack environment.

The Lead Data Engineer is also the Market BI team's primary IT partner for data platform enablement - improving data access patterns, strengthening pipeline governance, and helping establish a maintainable approach to Databricks pipelines and workflows as the market matures its analytics capabilities.

This is a Lead-level individual contributor role where work requires higher autonomy and complexity and includes directing the work of a small number of contract resources while remaining hands-on in delivery.

Team Culture & Expectations

On the Wisconsin Medicaid Market IT team, how you show up is as important as what you accomplish. We value a positive attitude, curiosity, ownership, and a desire to learn and make a meaningful difference. This role requires collaboration, high accountability, and comfort operating in ambiguity while continuously improving data reliability, security, and outcomes for associates, members, providers, and other stakeholders.


Use your skills to make an impact

Skills & Capabilities

The ideal candidate blends deep data engineering fundamentals with the ability to lead through influence - setting direction, improving reliability, and guiding others' work (including contract resources) while staying hands-on.

Required Skills

  • SQL, ETL/ELT & Data Platform Depth - Proven production experience with SQL Server data engineering, including warehousing patterns, operational support, performance tuning, and ETL/ELT design. Strong experience with SSIS/SSRS and Azure Data Factory (or similar orchestration) in real operating environments.
  • Integration & Interoperability Tooling (WI Market Reality) - Experience working across integration engines and healthcare data movement patterns, including tools such as Rhapsody / CorePoint
  • Modernization, Optimization & Stabilization Mindset - Demonstrated ability to modernize and optimize fragile pipelines and legacy patterns, reduce technical debt, and improve reliability, observability, and fault tolerance.
  • Databricks / UDAP Growth Path (directional, not gatekeeping) - Experience with Databricks and/or enterprise data platforms (e.g., UDAP), or strong aptitude and desire to grow into these platforms as part of market modernization and enterprise alignment.
  • Execution Leadership - Highly organized, self-directed, and able to drive work to outcomes in an ambiguous, rapidly changing environment including planning, sequencing, and communicating progress/risk. Experience creating detailed technical documentation to gain buy-in and drive decisions. Team operates in SAFe Agile practices.
  • Vendor / Contract Resource Direction - Ability to direct and review contract resource work (clarify requirements, establish standards, review deliverables, ensure maintainability).

Preferred Skills

  • Own the market's data stores (Data Warehouse + ODS) and ensure stability, security, and performance
  • AI Integration
  • Lead modernization and optimization of the ETL ecosystem, including SSIS modernization and improved reliability/observability
  • Drive reduction of legacy report patterns and support transition aligned to enterprise SSRS footprint reduction efforts
  • Partner with Market BI as their IT counterpart to improve data access and establish/manage Databricks pipeline patterns
  • Define and enforce data engineering standards aligned with enterprise direction.
  • Reduce technical debt and streamline workflows to lower operational burden on engineers and increase delivery capacity

Additional Information

Work-At-Home Requirements

  • WAH requirements: Must have the ability to provide a high speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.
  • A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.
  • Satellite and Wireless Internet service is NOT allowed for this role.
  • A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information
Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

Scheduled Weekly Hours

40

Pay Range

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.


$142,300 - $195,700 per year


This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

Description of Benefits

Humana, Inc. and its affiliated subsidiaries (collectively, "Humana") offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.
About us
About Inclusa: Inclusa manages the provision of a person-centered and community-focused approach to long-term care services and support to Family Care members across the state of Wisconsin. As a values-based organization devoted to building vibrant and inclusive communities, Inclusa deploys a unique approach to managed care with a trademarked model of support named Commonunity which focuses on the belief in everyone, and from that belief, the common good for all is achieved. In 2022, Inclusa was acquired by Humana. This partnership will allow us to create a model of care that provides industry-leading support for members across the health care continuum.About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health - delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer atHumana.comand atCenterWell.com.


Equal Opportunity Employer

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.


What Humana employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Humana logo

About Humana

Sourced by ZipRecruiter

Humana Inc., headquartered in Louisville, KY., is a leading health care company that offers a wide range of insurance products and health and wellness services that incorporate an integrated approach to lifelong well-being. By leveraging the strengths of its core businesses, Humana believes it can better explore opportunities for existing and emerging adjacencies in health care that can further enhance wellness opportunities for the millions of people across the nation with whom the company has relationships.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Louisville, KY, US

Year founded

1961

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