Top Data Engineering Jobs in Lexington, KY

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.

Lead the architecture and design of an operational data platform, focusing on data unification, streaming integrations, governance, and mentoring teams while ensuring HIPAA compliance.

As a Senior Data & Analytics Engineer, you'll lead data initiatives, manage a team, and ensure data quality while turning insights into actionable decisions across the company.

Lead data conversion processes, provide expert guidance on Oracle Cloud, and ensure the successful implementation of conversion solutions while collaborating with stakeholders.

Lead the implementation and support of Oracle HCM solutions, focusing on integrations and conversions. Collaborate with teams, resolve issues, and provide training. Ensure integrations function smoothly and meet project requirements.

The Marketing Data Scientist will analyze data, onboard clients, develop data pipelines in R, and propose improvements to enhance efficiency.