Top Data Engineering Jobs in Lexington, KY

The Data Engineer I is responsible for building reliable ELT/ETL pipelines, implementing data quality checks, and optimizing data models using dbt, while collaborating with stakeholders to ensure data reliability and consistency.

Join Quora's data infrastructure team to build and maintain data lakes, pipelines, query engines, and dashboards. Work on scalability, cost and performance improvements, participate in planning and on-call rotations, and contribute to tooling and reliability. Mentorship and training provided for new graduates.

Lead the design and delivery of enterprise-scale knowledge graph solutions for the U.S. Government, focusing on architecture, operationalization, and integration of complex data systems.

The CJA Pod Lead/Technical Architect will lead the migration of Adobe Analytics to Customer Journey Analytics, ensuring accurate recreation of analytics logic and reporting structures. Responsibilities include guiding teams, overseeing data validation, and collaborating with stakeholders to optimize analytics environments.

The Analytics Engineer will develop scalable data models, collaborate with business teams, and ensure data quality, while empowering stakeholders with tools and training.

The Lead Analytics Engineer will build a canonical data foundation for decision-making at Kit, enable self-service data exploration for stakeholders, and modernize the analytics process across departments.

Lead the Engagement Data Warehouse team, owning the vision for data products and managing a team of data engineers. Drive data roadmap, engineering excellence, and foster team culture within data-intensive systems.

The role involves writing and deploying scripts for data collection, transforming data sets, diagnosing bugs, and collaborating with other engineers using agile principles.

As a Payment Analytics Engineer, you will ensure data consistency in payments, automate reporting, analyze interchange data, and collaborate with Engineering for data management.

The Senior Data Engineer will design and build data pipelines and infrastructure to support data science and business intelligence solutions, utilizing AWS services and streaming technologies.