ZipRecruiter

Log In

1

Full Stack Data Engineer Jobs in Kentucky (NOW HIRING)

next page

Showing results 1-20

People also search for

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 May 29, 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 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.

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 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 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
Infographic showing various Full Stack Data Engineer job openings in Kentucky as of May 2026, with employment types broken down into 84% Full Time, 4% Part Time, 3% Temporary, and 9% Contract. Highlights an 75% In-person, 5% Hybrid, and 20% Remote job distribution, with an average salary of $117,052 per year, or $56.3 per hour.

Kafka Full stack Engineer

Tata Consultancy Service Limited

Louisville, KY

$120K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago

Job description

Must Have Technical/Functional Skills
Hands-on experience in Confluent Kafka: Experienced in setting up the configuration, security, and monitoring of Confluent Kafka components: brokers, zookeeper, control center, schema registry, and connect clusters. Experienced in the development of infrastructure solutions for publisher/consumer tenants, enabling robust multi-tenant cloud services. Experience in Microsoft Azure / Google Cloud Platform (GCP) Experienced in Dot Net tech stack Strong experience in .NET (C#) development for API design and implementation Proficiency with Azure cloud services, particularly Event Hub, Logic Apps (Workflows), Azure Kubernetes services (AKS), and Azure Functions (both .NET and Java implementations) RESTful services Familiarity with authentication, authorization, and security best practices for APIs. Micro services Architecture Windows console apps and Services Proficient in SQL and PostgreSQL Database Hands-on experience on CI/CD tools (Azure DevOps, GitHub) Good understanding on terraform scripting, building pipelines and releases Roles & Responsibilities
• Set up and configure Kafka clusters, components like brokers, zookeeper, control center, schema registry, and connect clusters.
• Monitor cluster health and performance.
• Create, delete, and configure Kafka topics.
• Manage broker configurations and ensure high availability.
• Diagnosing and resolve issues related to data flow, broker failures, and consumer lag.
• Integrate Kafka with other systems/services (e.g., Azure/GCP services, restful APIs, databases, microservices etc).
• Provide support for Kafka-related issues in production. (Azure DevOps / GitHub). Experience working in agile development projects and sprint delivery
• Design, develop, and maintain web applications using .Net technologies across both front-end and back-end integrating with Confluent Platform.
• Implement responsive user interfaces and ensure seamless integration with backend services.
• Optimize application performance and ensure code quality through unit testing and code reviews.
• Develop and maintain cloud-based solutions, leveraging platforms such as Azure or GCP.
• Integrate and manage event-driven architectures using Confluent Kafka for scalable message streaming and processing.
• Monitor and troubleshoot Confluent Kafka clusters and cloud resources to ensure high availability and reliability.
• Automate deployment pipelines and manage CI/CD processes for efficient application delivery.
• Implement infrastructure as code and configuration management using relevant DevOps tools.
• Collaborate with development and operations teams to enhance system scalability, security, and monitoring.
• Individual contributor and problem solver
Salary Range $120000-$140000 years
TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Apply