Top Hybrid Data Engineering Jobs

The Senior Data Platform Engineer will design, maintain, and enhance Hinge's data platform, including data pipelines, monitoring systems, and user feedback incorporation while ensuring data quality and system reliability.

The role involves leading data architecture strategies and driving innovation in data solutions while ensuring compliance with governance policies. Responsibilities include translating data requirements into technical plans, overseeing advanced data technologies, and fostering collaboration among stakeholders.

The Software Engineer will develop forecasting interfaces, optimize scheduling for support agents, and enhance MLOps for efficient model deployment.

As a Data Engineer at Edmunds, you will architect and maintain data platforms for analytics and AI/ML, ensuring scalable, reliable data processing and supporting cross-functional collaboration.

The Principal Data Engineer will develop scalable data pipelines, manage data infrastructure across AWS, Databricks, and Snowflake, and enforce data quality and best practices.

The Senior Analytics Engineer will design and implement ETL pipelines and dashboards, ensure data quality, train users, and develop advanced analytics solutions.

This internship involves building AI applications, collaborating on a technical project, using modern AI workflows, and delivering a functional product along with a presentation.

Lead the development and implementation of automation techniques using AI and machine learning to improve life underwriting operations and processes.

As a Staff Data Engineer at DISQO, you will lead the architecture of data pipelines, integrate Generative AI capabilities, and mentor engineers, focusing on scalable solutions and data quality.

The Data Engineer will design and build scalable data systems, contribute to the architecture of the data platform, and collaborate with AI/ML engineers to enhance automation and intelligence in Canoe's systems.