Top Data Engineering Jobs in Lexington, KY

As a Data Engineer at LiveKit, you will manage the analytics infrastructure, develop scalable GCP-based data pipelines, and ensure effective data movement and transformation processes, while collaborating with the Analytics and engineering teams.

Partner with customers and sales to design and present scalable Databricks Lakehouse architectures, build reference architectures and demos, consult on big data, ETL, and ML projects, validate integrations, and drive technical wins and adoption across accounts.

The Data Engineer Senior will optimize data pipelines, work within scrum teams, mentor others, and improve data quality, reliability, and governance.

The Data Engineer will build and scale data systems, manage data pipelines, ensure data quality, and collaborate with cross-functional teams to utilize entertainment data effectively.

As a Senior Data Engineer, you will build and maintain the data platform infrastructure, oversee data lakehouse architecture, and collaborate with product engineering to ensure reliable data delivery and adherence to data contracts.

The Senior Data Architect designs and implements data architecture solutions, leveraging modern platforms and methodologies to enhance data management, modeling, and integration across applications and stakeholders.

The Senior Data Engineer will design and build data pipelines on Azure Databricks, ensuring data security and governance while collaborating with clients and vendors on projects.

Lead scaling of a commercial channel data management platform for oncology/hematology. Manage vendor and data provider relationships, design data pipelines and governance, improve data quality, oversee data aggregation and provisioning for commercial insights, and ensure compliance, security, and documentation.

The Data and Reporting Architect will lead the design of data architectures and reporting systems, addressing complex data challenges and ensuring compliance with regulatory standards. Responsibilities include mentoring engineers, defining data quality frameworks, and collaborating with various teams to implement scalable solutions.

The IBM TM1 Developer will manage the SDLC for Finance applications, focusing on TM1 and migrating from Essbase, while collaborating with global teams.