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Data Technology Jobs in Kentucky (NOW HIRING)

Lockheed Martin

Data Engineer Staff

Lexington, KY · On-site

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 ...

Lockheed Martin

Data Engineer Staff

Lexington, KY · On-site

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 ...

Pwc

Data Engineer - Manager

Louisville, KY

In data engineering at PwC, you will focus on designing and building data infrastructure and ... You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Bluelight Consulting

$94K - $113K/yr

Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field ... or equivalent professional experience). * Core Experience: Proven experience developing end-to-end ...

Ventures Unlimited Inc

Big Data Architect

Louisville, KY

$61.25 - $78.75/hr

Our success begins with our ability to apply our relationships, leverage technologies, and identify talent - often in combination - to an endless array of real-world customer needs Title : Big Data ...

GMV

Data Architect

Verona, KY · On-site +1

$59 - $75.75/hr

If you want to know more about Big Data, artificial intelligence or machine learning and how they ... You will be able to acquire or perfect knowledge in the technologies we use as well as in skills.

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$36

$81

How much do data technology jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for data technology in Kentucky is $36.54, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $55.41 per hour, depending on experience, location, and employer.

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

To thrive in a Data Technology role, you need strong analytical skills, experience in data management, and knowledge of programming languages such as SQL or Python, often supported by a bachelor’s degree in computer science, information systems, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), cloud platforms (AWS, Azure, or Google Cloud), and relevant certifications (such as Certified Data Management Professional) is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills are key soft skills for success. These competencies help ensure the integrity, accessibility, and actionable value of data within an organization.

Is 40 too late for data science?

Data science is a field open to professionals of all ages, including those starting at 40 or later. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, as well as gaining practical experience through projects or certifications. Age is less important than your ability to learn and adapt to evolving technologies in the field.

What is a Data Technology job?

A Data Technology job focuses on managing, processing, and analyzing data using various tools and technologies. Professionals in this field work with databases, cloud platforms, and big data frameworks to store, organize, and extract insights from data. They may also develop data pipelines, ensure data quality, and optimize data infrastructure for business and analytical use.

What is the highest paying data job?

The highest paying data job is typically a Chief Data Officer or Data Executive, earning six-figure salaries or higher, especially in large organizations. Senior roles such as Data Architects or Machine Learning Directors also command high compensation due to their expertise in data infrastructure and advanced analytics. These positions often require extensive experience, advanced skills in data management, and relevant certifications.

What are the typical responsibilities of someone working in Data Technology?

Professionals in Data Technology are typically responsible for developing and maintaining data infrastructure, designing databases, ensuring data quality, and implementing data security standards. Day-to-day tasks may involve collaborating with analysts, engineers, and business stakeholders to enable data-driven decision-making and optimize existing systems. As part of a cross-functional team, you might be tasked with troubleshooting data issues, integrating new data sources, and supporting the deployment of analytics solutions. This role offers exposure to a fast-evolving environment, expands your technical skills, and often provides opportunities to progress toward senior data engineering or data architect positions.

What does a data technologist do?

A data technologist designs, implements, and manages data systems and infrastructure to support data collection, storage, processing, and analysis. They often work with tools like databases, data pipelines, and cloud platforms, and may have skills in programming, data modeling, and data security to ensure efficient and secure data operations.

What jobs pay 500,000 a year in the US?

In the field of data technology, senior roles such as Chief Data Officer, Data Science Director, or Lead Data Engineer can reach or exceed $500,000 annually, especially in large corporations or tech firms. These positions typically require extensive experience, advanced skills in data management, analytics, and leadership, and often involve performance-based bonuses or stock options.
What are popular job titles related to Data Technology jobs in Kentucky? For Data Technology jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Data Technology jobs in Kentucky look for? The top searched job categories for Data Technology jobs in Kentucky are:
Data Technology jobs near you
Infographic showing various Data Technology 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 $76,000 per year, or $36.5 per hour.
Data Engineer Staff

Data Engineer Staff

Lockheed Martin

Lexington, KY • On-site

Other

Posted 12 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

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Benefits

Hours and flexibility

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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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