Top Remote Data Engineering Jobs in Lexington, KY

The Director of Data Engineering will architect Vibe's data platform and ML infrastructure, ensuring data governance, team leadership, and optimization of data economics for scalable growth.

The Manufacturing Analytics Engineer will manage the analytics pipeline, transforming operational data from OT systems into actionable insights for decision-making, while collaborating with Engineering, IT, and Operations.

The Engagement Manager will oversee the data modernization lifecycle, coordinating with partners to implement modern data platforms and manage multiple concurrent engagements effectively.

Manage leased partner network data integration into I-Network, ensure data quality and delivery for client claims systems and regulatory filing, support SFTP access, create requirements and QA sign-off for projects, produce analytical insights, mentor team members, and assist Business Development/National Accounts and project management.

The Data Engineer will build and maintain data infrastructure, design data pipelines, and develop reusable frameworks, leveraging technologies like Azure Databricks and PySpark for data processing and transformation.

Design and enhance data management and analytics functions, build data assets, establish engineering standards, and enable self-service data access for analytics at Danaher.

Lead architecture and hands-on engineering to design, scale, and govern a cloud-native lakehouse using Databricks and Microsoft Fabric. Build batch/streaming pipelines, ensure HIPAA-compliant PHI handling, produce analytics-ready datasets, mentor engineers, and drive platform strategy, governance, and reliability.

As an AI Engineer, you'll work closely with customers to understand their needs, train and deploy models, and build scalable AI systems.

The Data Engineer will enhance the Enterprise Data Warehouse, modernizing ETL processes, optimizing data transformations, ensuring data quality, and providing production support while collaborating with cross-functional teams.

Ensure timely, high-quality data conversions from legacy systems to new platforms. Work with Implementation Specialists and Project Managers to execute conversion tasks, validate data integrity, troubleshoot issues, support deployments, and assist scheduling and customer communications.