Top Hybrid Data Engineer Jobs

Develop and maintain AI-powered forecasting models, apply machine learning techniques, and collaborate across teams to integrate intelligent systems into business processes.

As a Senior Data Analytics Engineer, you will design data models, collaborate across teams, improve data infrastructure, mentor others, and lead complex analytics projects to drive business outcomes.

The Staff Data Engineer will design and optimize data pipelines, collaborate with stakeholders, mentor team members, and lead architectural decisions in data infrastructure.

The Senior Machine Learning Engineer will enhance a platform for data scientists, lead ML service development, and collaborate cross-functionally to deliver AI solutions.

The Analytics Engineer 2 will support Operations data by developing data models, maintaining data pipelines, and providing insights for decision-making.

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.

As a Senior Applied Scientist, you will develop and deploy large language models, collaborate on AI projects, and improve AI features for Datadog.

Lead and mentor a team of Machine Learning engineers to design, deliver, and optimize ML systems that impact business revenue while collaborating with cross-functional teams.

The role involves designing scalable data models, translating business requirements, optimizing performance, mentoring junior staff, and collaborating with cross-functional teams.

Design and build secure data pipelines, lead data architecture, collaborate across teams, ensure data quality, and mentor other engineers.