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Full Stack Data Engineer Jobs in Kentucky (NOW HIRING)

Lockheed Martin

Data Engineer Staff

Lexington, KY

LockheedMartin is looking for a Data Engineer who will deliver end to end, full stack data solutions across the complete data processing pipeline. You will apply systems engineering principles to ...

Humana

Full Stack Engineer

Louisville, KY · On-site +1

The Full Stack Engineer (Level 2) is a hands-on engineering role focused on maintaining, enhancing, and modernizing an existing, long-standing enterprise application. This position requires strong ...

New

Humana

Full Stack Engineer

Louisville, KY · On-site +1

The Full Stack Engineer (Level 2) is a hands-on engineering role focused on maintaining, enhancing, and modernizing an existing, long-standing enterprise application. This position requires strong ...

New

Humana

Full Stack Engineer

Louisville, KY · On-site +1

The Full Stack Engineer (Level 2) is a hands-on engineering role focused on maintaining, enhancing, and modernizing an existing, long-standing enterprise application. This position requires strong ...

New

Humana

Sr Full Stack Software Engineer

Louisville, KY · On-site +1

... or data requires an in-depth evaluation of variable factors. This position is remote but requires ... As a Sr Full Stack Engineer, you will perform the following: * Work with a team of developers with ...

Humana

Sr Full Stack Software Engineer

Louisville, KY · On-site +1

... or data requires an in-depth evaluation of variable factors. This position is remote but requires ... As a Sr Full Stack Engineer, you will perform the following: * Work with a team of developers with ...

Humana

Sr Full Stack Software Engineer

Louisville, KY · On-site +1

... or data requires an in-depth evaluation of variable factors. This position is remote but requires ... As a Sr Full Stack Engineer, you will perform the following: * Work with a team of developers with ...

Lockheed Martin

Data Engineer Staff

Lexington, KY · On-site

Lockheed Martin is looking for a Data Engineer who will deliver end to end, full stack data solutions across the complete data processing pipeline. You will apply systems engineering principles to ...

Sarian, Inc.

Java Full Stack Developer

Louisville, KY · On-site

$50.50 - $65/hr

Java Full Stack Developer Location: Louisville, KY Onsite position Fulltime position JD: * Experience with using Java EE/JAVA 11 and above version * 8+ years' experience in Java & Springboot ...

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Showing results 1-20

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 30, 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
Infographic showing various Full Stack Data Engineer job openings in Kentucky as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $117,052 per year, or $56.3 per hour.

Data Engineer Staff

Lockheed Martin Corporation

Lexington, KY

Other

Posted 14 days ago

Lockheed Martin rating

8.2

Company rating: 8.2 out of 10

Based on 389 frontline employees who took The Breakroom Quiz

37th of 71 rated aerospace companies

Job description

LockheedMartin is looking for a Data Engineer who will deliver end to end, full stack data solutions across the complete data processing pipeline. You will apply systems engineering principles to design, build, and operate scalable pipelines that collect, ingest, transform, store, and serve data for analytics and mission critical applications while ensuring security, performance, and compliance with DoD/SOFSA standards.
Key Responsibilities
Pipeline Development & Maintenance Build, test, and maintain robust data pipelines (batch & streaming) that clean, transform, and aggregate raw data into analytic ready data stores. Implement data quality checks, smart caching, and virtualization techniques to guarantee consistency and reliability. Build automated data management conduits that support machine learning data flows.
Data Architecture & Modeling Collaborate with the Data Architect to create conceptual, logical, and physical data models that support business needs. Define functional capabilities, security, backup, and recovery specifications for each solution. Design and maintain systems that collect, store, and present data across the enterprise.
Lifecycle Management Conduct data profiling, requirement analysis, and performance tuning throughout the solution lifecycle. Deploy, monitor, and optimize ETL/ELT processes (e.g., Informatica, Talend) and related reporting/analytics layers. Develop and implement data mining and data warehousing programs to enrich the enterprise data ecosystem.
Operations & Performance Identify and resolve production incidents; tune system parameters for optimal throughput and latency. Evaluate, integrate, and validate new releases or platform upgrades. Manage the compilation, catalog ing, caching, distribution, and retrieval of data and maintain test data records.
Standards & Governance Define and enforce best practice standards, certification processes, and metadata management policies for data objects. Participate actively in the Data Governance Working Group. Implement data management standards, requirements, and specifications and ensure compliance with data classification and handling rules through access control and security best practices.
Risk & Design Support Assist early stage risk identification and mitigation for task order activities. Support Critical Design Reviews (CDRs) and advise Integrated Product Teams (IPTs) on data related risks and mitigation strategies.
Cross Discipline Liaison Serve as the technical liaison to Systems Engineering, IPT engineers, and other disciplines to ensure complete, documented requirements allocation for IT and data systems. Prepare and release engineering drawings and associated data system documentation.
Technology Integration Advise on and design the integration of new data technology solutions (e.g., IBM Cloud Pak for Data) into the SOFSA enterprise IT environment. Advise higher level leadership on critical data management issues and emerging technology trends.
Reporting Report directly to the Data Architect and provide status updates on pipeline health, performance metrics, and risk registers.
Additional Typical Duties (new content integrated) Apply data acquisition, cleaning, transformation, and ingestion best practices for machine learning data conduits. Assess and address methodological limitations to ensure reliable data delivery. Read, interpret, write, modify, and execute simple scripts (e.g.,PERL, VBS) on Windows and UNIX systems for parsing large files, automating manual tasks, and fetching/processing remote data. Record, manage, and validate test data. Establish data security controls, develop data dictionaries, and apply data mining techniques (e.g., file system searches). Perform data pre processing (imputation, dimensionality reduction, normalization, transformation, extraction, filtering, smoothing). Conduct transformation analytics (aggregation, enrichment, processing)

What Lockheed Martin employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Lockheed Martin

Sourced by ZipRecruiter

As a global security and aerospace company, the majority of Lockheed Martin's business is with the U.S. Department of Defense and U.S. federal government agencies.The remaining portion of Lockheed Martin's business is comprised of international government and commercial sales of products, services and platforms.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Bethesda, MD, US

Year founded

1912

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