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Full Stack Data Engineer Jobs in Kentucky (NOW HIRING)

SynergisticIT

Jr. Java Software Engineer

Owensboro, KY · On-site

We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics ...

Eliq

Senior Full Stack Software Engineer

Argillite, KY · Hybrid

At Eliq, you'll be joining a fast-growing SaaS company building the data and intelligence layer ... You will join a brand-new Embedded Energy engineering team, building an entirely new product area ...

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All JobsFull Stack Data Engineer JobsFull Stack Data Engineer Jobs in Kentucky

Full Stack Data Engineer information

See Kentucky salary details

$38.6K

$117.1K

$165.5K

How much do full stack data engineer jobs pay per year?

As of Jul 9, 2026, the average yearly pay for full stack data engineer in Kentucky is $117,052.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,400.00 and $137,200.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior full stack data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost living areas or within large tech companies. Compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires a combination of technical proficiency, leadership, and industry experience.

What is the difference between Full Stack Data Engineer vs Data Scientist?

AspectFull Stack Data EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields
Work EnvironmentBuild data pipelines, manage databases, develop APIsAnalyze data, create models, generate insights
Industry UsageTech, finance, healthcare, where data infrastructure is keyResearch, analytics, product development teams

Full Stack Data Engineers focus on building and maintaining data infrastructure, integrating data from various sources, and ensuring data availability. Data Scientists analyze data, develop models, and generate insights. While both roles require strong technical skills, Full Stack Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What does a full-stack data engineer do?

A full-stack data engineer designs, develops, and maintains data pipelines, databases, and data processing systems across both backend and frontend components. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and optimized for analysis and application use. This role often requires knowledge of data architecture, ETL processes, and programming skills to support data-driven decision-making.

Can I make 200K as a data engineer?

Full Stack Data Engineers with extensive experience, advanced skills in cloud platforms, and expertise in tools like Spark or Hadoop can potentially earn salaries of $200,000 or more, especially in high-cost-of-living areas or senior roles. Salary levels depend on factors such as location, industry, company size, and individual qualifications.

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

To thrive as a Full Stack Data Engineer, you need strong expertise in data modeling, ETL processes, and proficiency in both backend (e.g., Python, Java) and frontend (e.g., JavaScript, React) development, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), big data tools (like Spark or Hadoop), and database systems (SQL and NoSQL) is typically required, and certifications in these technologies are advantageous. Excellent problem-solving, communication, and collaboration skills help you bridge gaps between data, development, and business teams. These skills ensure you can design, build, and maintain scalable data solutions that meet organizational needs efficiently.

What engineers make $300,000 a year?

Full Stack Data Engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $300,000 or more annually. High compensation often reflects seniority, specialized knowledge, and leadership roles within organizations. Certifications like AWS or Google Cloud and a strong portfolio can also contribute to higher salaries.

How does a Full Stack Data Engineer typically balance responsibilities between backend data infrastructure and frontend data presentation tasks?

Full Stack Data Engineers are often required to split their time between developing robust backend data pipelines and creating user-facing tools or dashboards that visualize data insights. This dual responsibility means you'll need to prioritize tasks based on project needs, effectively collaborating with data scientists, analysts, and frontend developers. Communication is key, as you'll bridge gaps between technical teams and business stakeholders, ensuring data flows seamlessly from source systems to end users. Over time, many engineers find opportunities to specialize further or move into leadership roles overseeing data architecture and team strategy.

What is a Full Stack Data Engineer?

A Full Stack Data Engineer is a professional who designs, builds, and maintains the entire data pipeline, from data collection and storage to processing and visualization. They work with both the backend infrastructure (such as databases, data warehouses, and ETL processes) and frontend tools (like dashboards or reporting systems) to ensure data is accessible and usable for analytics. Full Stack Data Engineers possess skills in programming, database management, data modeling, cloud platforms, and often data visualization, allowing them to manage every stage of data flow within an organization.
What are popular job titles related to Full Stack Data Engineer jobs in Kentucky? For Full Stack Data Engineer jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Full Stack Data Engineer jobs in Kentucky look for? The top searched job categories for Full Stack Data Engineer jobs in Kentucky are:
Full Stack Data Engineer jobs near you
Full Stack Developer

Full Stack Developer

World Wide Technology Holding, LLC

Corbin, KY • On-site

Full-time

Medical, Dental, Vision, Life, PTO

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

Job description

Qualifications:

  • Bachelor's degree in Computer Science, Management Information Systems, Supply Chain, or a related field
  • 5+ years of professional software development experience with a mix of the following technologies:
    • Development: JavaScript / Node.js / Vue.js, Java / Spring Boot
    • Databases: MongoDB, Oracle, PostgreSQL, PL/SQL
    • Containers & Platforms: OpenShift, Kubernetes, Docker
    • CI/CD & Tooling: GitHub, Jenkins, AI-assisted coding tools
    • Messaging & Event Streaming: Apache Kafka, Confluent Platform
  • Test first mindset with experience in test automation, unit, functional, end-to-end, and regression testing
  • Ability to critically analyze and decompose complex technical requirements. Strong problem-definition, requirements elicitation, impact analysis, and solution design skills
  • Excellent written and verbal communication skills for both technical and non-technical audiences
  • Ability to think innovatively, present alternative solutions, and demonstrate creativity in problem-solving and application design
  • Experience thriving in Agile environments with evolving requirements
  • Highly responsible self-starter/team-oriented individual with very strong work ethic and interpersonal skills

Preferred Skills:

  • Experience using/building inside the Tibco EBX platform
  • Experience working with data governance, MDM, or enterprise data platforms
  • Familiarity with diagramming and presentation tools (e.g., Lucid, PowerPoint)
  • Deep understanding of Data Quality Management (Survivorship Rules, Match Rules)
  • Hands-on experience with Apache Kafka and Confluent Platform for real-time data streaming and event-driven architecture patterns
  • Exposure to AI concepts such as LLMs, RAG, agents, or prompt engineering

The well-being of WWT employees is essential. So, when it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees:

  • Health and Wellbeing: Combined Health Insurance (Dental and Vision), Employee Assistance Program, Wellness program
  • Financial Benefits: Competitive pay, Profit Sharing, Life and Disability Insurance, Tuition Reimbursement
  • Paid Time Off: PTO & Holidays, Parental Leave, Sick Leave, Bereavement
  • Additional Perks: Employee Assistance Program, Employee Discount Program and more!

Note: This is not an all-encompassing list and should not be used as a complete description of the plan's benefits.

We strive to create an environment where all employees are empowered to succeed based on their skills, performance, and dedication. Our goal is to cultivate a culture of belonging that encourages innovation, collaboration, and respect for all team members, ensuring that WWT remains a great place to work for all!

If you require accessibility accommodation(s) or adjustment during any stage of the hiring process, please let your WWT Recruiter know. The recruiter will work with you to understand your needs and help ensure an accessible experience throughout the interview process.

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