Top Remote Data Engineering Jobs in Lexington, KY

Lead design and implementation of shared, reusable analytics data models and pipelines. Drive standardization, governance, observability, and CI/CD for analytics; partner with Data Science, Infrastructure, and Product to certify metrics, modernize orchestration, and integrate AI-native tooling.

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.

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

The Manager of Data Engineering will lead the data engineering team, oversee data pipeline design and implementation, manage data governance, and ensure data quality while driving team professional growth.

Develop custom R programming code for PK/PD analyses, ensuring data quality and compliance with CDISC standards while training others and improving programming tools.

As a Data Conversion Specialist, you will manage data extraction, transformation, and loading for client migrations to improveit 360 or MarketSharp, ensuring accuracy, timely conversion, and customer satisfaction.

The Technical Integration Specialist will manage data integration workflows, ensure project implementations, troubleshoot data issues, and train clients on SmithRx's integration solutions.

The Junior Data Engineer will analyze data, build and maintain data pipelines, support CI/CD processes, and assist in IT modernization efforts for a Federal client.

Design, develop, and maintain ETL solutions using Informatica PowerCenter. Collaborate with business analysts, optimize ETL processes, and ensure data quality.

Develop and maintain ETL solutions, optimize processes, validate data, and support production issues. Collaborate with analysts for efficient data integration.