Top Data Engineering Jobs in Lexington, KY

Lead end-to-end data science initiatives: design, deploy, and monitor production ML models for credit risk, pricing, collections, and fraud. Partner cross-functionally to integrate models, set development standards, mentor team members, and maintain reliable, scalable machine learning pipelines and monitoring systems.

Lead the ML Data Enablement team to define strategy and execution for accelerating third-party and internal data onboarding, enforce data quality and SLAs, build metadata and lineage standards, and deliver scalable data infrastructure and workflows to reduce time-to-production for ML models.

Lead design and implementation of a unified event-tracking data platform. Collaborate with Data, Product, and Engineering to build reusable event-publishing frameworks, monitoring/alerting, and deprecate legacy systems. Coach mid-level engineers, influence roadmap and processes, manage cloud/SaaS spend, create documentation, and participate in on-call rotations to ensure platform reliability and data trustworthiness.

Lead the Generative AI team to advance ML and generative AI capabilities. Develop and deploy models for document processing and mentor team members.

The Business Systems Specialist will support data conversion, collaborate with IT and Operations teams, and ensure successful data integration across various business lines.

As a Data Engineer, you will build and optimize data pipelines, manage ETL workflows, and ensure efficient data access and quality within the infrastructure.

The Web Scraping Specialist will extract data from websites, optimize scraping processes, and manage data integrity, ensuring high-quality outputs.

Lead and expand Data Acquisition teams, building and maintaining data pipelines and services for healthcare while collaborating with product management and engineering teams.

Lead data acquisition and management strategies for AI models, analyze data systems, oversee partnerships, and guide a team in optimized data usage.

The Data Architect will lead database management, conduct data analysis, and work with stakeholders to align data requirements with business objectives.

As a Data Engineer, you'll conduct a comprehensive data pipeline audit across various Azure services, assess data quality, and deliver remediation plans within four weeks.

The Lead Data Engineer drives enterprise-scale data solutions, oversees project scoping, and leads a team, ensuring best practices in data engineering.