Lexington, KY

Data Jobs in Lexington, KY

5 jobs found

Include remote jobs

1mo ago

Staff Machine Learning Engineer

Xometry Lexington, KY

Lexington, KY

1mo ago Closed

Full time Ai Ml Artificial Intelligence Cloud

This position is no longer accepting applications (closed Oct 19, 2026).

Job Description

Join Xometry’s AI/ML team in Lexington, KY (hybrid) as a Staff Machine Learning Engineer, leading end-to-end delivery of complex ML systems and partner integrations.

Responsibilities

Technical ownership across the lifecycle: lead requirements gathering through release, delivering high-quality results on time across complex, cross-functional initiatives
Partner integration AI/ML architecture: architect and build the high-performance AI/ML layer of the embedded DFM AI + IQE integration with Teamcenter and Designcenter
Real-time ML serving: design serving architecture and a low-latency signal path to deliver DFM and pricing feedback directly into the designer’s environment
Define ML data contracts: specify model input/output contracts and implement MLOps, governance, and observability for a mission-critical, public-marketplace partner integration
Cloud production systems: develop cloud-based systems for real-time endpoints and MLOps, integrated with Xometry’s broader systems and infrastructure
Cross-domain problem solving: evaluate variable factors and deliver solutions aligned with both business and technical objectives
Roadmapping and process improvement: identify opportunity areas, own new processes and solutions, and develop multi-quarter roadmaps for key technical objectives
Engineering quality and security: apply best practices in automated testing, parallel and distributed computing, and secure software development for ML systems
Collaborate across functions: work with engineers, product managers, data scientists, and business stakeholders to translate requirements into robust solutions
Mentorship and reviews: conduct design reviews, code reviews, and technical mentorship to raise team capability
Stay current: keep pace with ML/AI advances and bring relevant new approaches, tools, and frameworks into practice

Requirements

Bachelor’s degree in a STEM field (or equivalent experience) plus 6–8 years of machine learning engineering experience
Production ML ownership: proven track record owning and delivering complex ML systems in production
ML/AI expertise: deep knowledge of ML and AI technologies, including Gradient Boosting and Deep Learning and/or Generative AI frameworks, with a focus on backend scalability and reusability
Real-time ML at scale: hands-on experience deploying real-time ML products in cloud environments; AWS strongly preferred, including monitoring, alerting, and auto-scaling
Python and frameworks: strong proficiency in Python and advanced ML/AI frameworks such as TensorFlow or PyTorch
Software engineering fundamentals: solid grounding in data structures and algorithms
MLOps experience: model monitoring, data and concept drift detection, and automated retraining and redeployment pipelines
Delivery and infrastructure practices: CI/CD pipelines (e.g., GitHub Actions), test-driven development, and infrastructure as code (e.g., Terraform)
Performance optimization: experience profiling and optimizing ML deployments for latency and throughput
Independent execution: ability to operate on new and ambiguous assignments, determine methods and procedures, and communicate effectively across engineering, product, and business audiences
Modern modeling exposure: transformers, self-supervised pre-training, LLMs, or generative AI experience
Cloud-native systems: knowledge of containers, Kubernetes, and cloud-native distributed systems
Domain experience: manufacturing, supply chain, or marketplace background is a plus

Technologies

Python
TensorFlow
PyTorch
Gradient Boosting
Deep Learning
Generative AI frameworks
AWS
CI/CD pipelines
GitHub Actions
Test driven development
Terraform
MLOps
Model monitoring
Data and concept drift detection
Auto-scaling
Containers
Kubernetes
Transformers
Self-supervised pre-training
Large language models (LLMs)
Solid Edge
NX
Designcenter
Teamcenter
Parallel and distributed computing

Benefits

401(k) match
Medical, dental and vision insurance
Life and disability insurance
Generous paid time off including vacation, sick leave, floating and fixed holidays
Maternity and bonding leave
EAP and other wellbeing resources

View full job page →

2mo ago

Data Analyst

Intellibee Lexington, KY

Lexington, KY

2mo ago Closed

Full time Business Intelligence Data Analysis Data Analytics

This position is no longer accepting applications (closed Sep 17, 2026).

Job Description

Intellibee is seeking a Data Analyst in Lexington, KY (onsite) to analyze client data and deliver reporting solutions across SSRS, SSMS, Tableau, and ETL workflows.

Responsibilities

Perform data analysis on the client’s data using SSRS, SSMS, and Tableau.
Work on ETLs and analytical modules that support movement from OLTP to OLAP databases.
Design and deliver report-based releases with end-to-end ownership.

Requirements

Experience as a Data Analyst with:
- Tableau development
- SSRS development
- ETL development and architecture
- SQL script design and development
Functional domain expertise in Healthcare and State program benefits.

Technologies

Tableau
SSRS
SSMS
ETL
SQL

Preferred Skills

Tableau development
SSRS report building
ETL architecture and development
SQL scripts writing for ad hoc reports
Functional JADs
DDD and release management ownership

View full job page →

2mo ago

Data Engineer Staff

Lockheed Martin Corporation Lexington, KY

Lexington, KY

2mo ago Closed

Full time Analytics Big Data Business Analytics

This position is no longer accepting applications (closed Aug 23, 2026).

Job Description

Lockheed Martin Corporation is seeking a skilled Data Engineer Staff to join its data engineering team in Lexington, Kentucky, on a hybrid work arrangement. The role centers on delivering end-to-end data solutions across the full data processing pipeline, designing, building, and operating scalable pipelines with an emphasis on security, performance, and DoD/SOFSA compliance.

Responsibilities

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.
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.
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.
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, cataloging, caching, distribution, and retrieval of data and maintain test data records.
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.
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.
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.
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.
Report directly to the Data Architect and provide status updates on pipeline health, performance metrics, and risk registers.
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).

Requirements

Bachelor’s degree in Artificial Intelligence, Computer Science, Information Systems, Data Engineering, or a related field (Master’s preferred).
Data‑mining and data‑warehousing principles.
Database management systems, query languages, table relationships, and views.
Proficiency with Hadoop, Java, Python, SQL, Hive, and PIG for data exploration.
DataOps processes and best practices.
Data‑security roles and responsibilities; ability to implement access‑control and encryption safeguards.
Knowledge of how to collect, store, monitor, and validate test data.
Ability to assess methodological limitations and recommend mitigation strategies.

Technologies

Hadoop, Java, Python, SQL, Hive, PIG
Informatica, Talend, IBM Cloud Pak for Data
AWS, Azure, GCP
PERL, VBS
Microsoft Power BI Report Server, Deltek COBRA
Microsoft SharePoint, SAP, Teamcenter
PowerShell, Oracle SQL Server, Microsoft SQL Server

Benefits

Flexible Schedules
Competitive pay
Comprehensive benefits

Security Clearance

This position requires a government security clearance, you must be a US Citizen for consideration.

Clearance Level

Secret

Other Important Information

Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.
Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.
Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.
Schedule for this Position: Non- standard 40 hour work week as assigned by leader

Experience Level

Experienced Professional

Business Unit

MISSILES AND FIRE CTRL (S0806)

Relocation Available

Possible

Career Area

Data Science

Type

Task Order/IDIQ

Shift

First

View full job page →

3mo ago

Data Analyst Senior

Lockheed Martin Corporation Lexington, KY

Lexington, KY

3mo ago Closed

Full time Senior Analyst Analytics

This position is no longer accepting applications (closed Aug 17, 2026).

Job Description

Lockheed Martin Corporation offers a hybrid work arrangement in Lexington, KY for a Senior Data Analyst who translates raw data into actionable insights, identifies new data sources, applies statistical methods, and delivers dashboards and narrative visualizations to support business and risk management decisions while upholding data governance.

This role thrives in a collaborative, data-driven environment and focuses on turning complex analytics into clear, business-ready outcomes that support strategic decisions and governance.

Benefits

Competitive pay
Comprehensive benefits
Flexible schedules

Responsibilities

Source and bring in new internal and external data streams to enrich analyses.
Pull, cleanse, and preprocess data from databases, APIs, and scraped sources, preserving data quality.
Leverage structured datasets to address concrete business problems once data architectures are in place.
Integrate data from diverse sources to yield new insights; design and implement custom algorithms and data flows for large enterprise datasets used in modeling, data mining, and research.
Apply statistical and mathematical methods to large datasets to reveal trends, patterns, and risk signals.
Translate results into concise business narratives, visuals, and interactive dashboards, including Power BI Report Server.
Define data requirements, specifications, and data sources to inform actionable recommendations.
Collaborate with systems analysts, engineers, and developers to design applications that validate source data and findings.
Detect hidden patterns and relationships, dissect problems, and explore connections across disparate data.
Create and maintain KPI dashboards delivering real time performance insights for stakeholders.
Generate regular analytical reports and ad hoc analyses to support decision making.
Derive strategic insights from large data sets and present data in engaging formats.
Communicate technical findings to both technical and non technical audiences.
Contribute to the Data Governance Working Group.
QA data scraping and query processes; triage and resolve data issues promptly.
Document data lineage, metadata, and analytical methodology in line with governance standards.
Develop data standards, policies, and procedures; design and implement data mining and data warehousing programs.
Elicit functional and technical requirements from business owners and translate them into analytic solutions.
Manage key analytics tasks and resources to meet cost, schedule, and quality objectives.
Run queries and develop algorithms to analyze data structures and integrate data from multiple tool sources.
Utilize IBM Cloud Pak for Data, Oracle/SQL Server, SAP, Deltek COBRA, SharePoint, Teamcenter, and cloud platforms (AWS, Azure, GCP).

Requirements

Bachelor's degree in Computer Science, Information Systems, Data Science, Business Analytics, or a related field; Master’s preferred.
Experience designing solutions with awareness of networking concepts, protocols, network security methodologies, cyber threats, vulnerabilities, and cybersecurity principles.
Knowledge of data administration, data standardization policies, and standards.
Applied experience in data mining, data warehousing, machine learning, and AI theory.
Understanding of network access, identity and access management, including PKI.
Familiarity with programming language structures and query languages such as SQL and object oriented design.
Knowledge of secure coding techniques.

Technologies

IBM Cloud Pak for Data
Oracle/SQL Server
SAP
Deltek COBRA
SharePoint
Teamcenter
AWS, Azure, GCP
Power BI Report Server
SQL, Python, PowerShell, PERL, VBS
Excel, STATA, SAS, SPSS

Security and clearance

This position requires a government security clearance; US citizenship is required for consideration. Clearance level: Secret.

Job details

Experience level: Experienced Professional
Business unit: MISSILES AND FIRE CTRL (S0806)
Career area: Data Science
Type: Task Order/IDIQ
Shift: First
Education: Bachelor's degree required; Master's preferred
Location: Lexington, KY (hybrid)

Other important information

Expression of Interest: Applying indicates interest and may be considered for other openings with similar requirements; you may be contacted for related opportunities.
Ability to work remotely: Part-time remote telework; part of the schedule on-site at a Lockheed Martin facility; specifics discussed during hiring.
Work schedules: A variety of alternate work schedules are supported, including condensed weeks; these supplements to paid time off benefits.
Schedule for this position: Non-standard 40 hour work week as assigned by the leader.
Equity and inclusion: Lockheed Martin is an equal opportunity employer; qualified candidates are considered without regard to legally protected characteristics.
Application window: 90 days from posting; for optimal consideration, apply within 5 to 30 days of the requisition posting date.
Relocation: Possible

View full job page →

3mo ago

Data Analyst

JY Legner Associates Lexington, KY

Lexington, KY

3mo ago Closed

$42 - $48/hr Contract Analyst Analytical Skills Analytics

This position is no longer accepting applications (closed Aug 1, 2026).

Job Description

JY Legner Associates seeks a detail-oriented Data Analyst to bolster ERP management processes and everyday business operations through careful data aggregation, cleansing, analysis, and reporting. The role collaborates across multiple functions to convert data into actionable insights that drive performance measurement and strategic decisions. Based in Lexington, Kentucky, the position offers a hybrid work arrangement with on-site work required during the training period.

Responsibilities

Consolidate, cleanse, validate, and analyze data across varied ERP management processes and focus areas.
Create, maintain, and report on core business performance indicators (KPIs).
Provide analytical support for financial operations and related business functions.
Support material tracking and inventory processes with data-driven analysis.
Monitor end-to-end communication activity to inform operational decisions.
Support regulatory and customer reporting functions with data insights.
Extract data from multiple sources to inform analysis and reporting efforts.
Identify trends, patterns, and actionable insights to guide strategic decisions.
Offer analytical backing for a range of business initiatives and projects.
Collaborate with cross-functional teams to improve reporting accuracy and efficiency.

Requirements

Bachelor’s degree in Data Science, Computer Science, Information Systems, Analytics, or a related field.
1–3 years of experience in data analytics, data science, or a similar analytical role.
Experience working with Oracle.
Experience working with SAP.
Proficiency with the Microsoft Office Suite, especially Excel.
Experience gathering, cleansing, and preparing data from multiple sources for analysis.
Strong analytical and problem-solving abilities with the capacity to translate data into meaningful business insights.
Ability to manage multiple priorities and collaborate effectively in a team environment.

Technologies

Oracle
SAP
Microsoft Office Suite
Excel
Maximo

Benefits

401(k) with 4% company match
AD&D insurance
Dental insurance
Disability insurance
Health insurance
Life insurance
Vision insurance

Education

Bachelor’s degree in Data Science, Computer Science, Information Systems, Analytics, or a related field.

Experience

SAP: 2 years (Required)
Oracle ERP: 2 years (Required)
Perform analysis and create reports or dashboards: 2 years (Required)
Data analytics, business analytics, or data science: 2 years (Required)

Location & Work Arrangement

Location: Lexington, KY 40536 (Hybrid remote)
Hybrid schedule; onsite attendance required until fully trained

Contract & Compensation

Job Type: Contract
Compensation: USD 42 - 48 per hour
Contract Duration: Through December 2026, with potential extension/renewal based on business needs and performance

Application & Qualifications

Do you confirm understanding that this is a W2 role that is slated to run until December 2026, but it may be extended?
Do you currently reside within a reasonable commuting distance of Lexington, KY?

View full job page →

Data Jobs in Lexington, KY

Staff Machine Learning Engineer

Data Analyst

Data Engineer Staff

Data Analyst Senior

Data Analyst

Get Data Jobs in Lexington, KY alerts