Top Senior Level Data Engineer Jobs

The Staff Machine Learning Engineer will develop new AI capabilities, enhance code quality, collaborate with cross-functional teams, and manage the development process to deliver efficient data-driven business solutions. This includes hands-on design, documentation, and ensuring high-quality code delivery in a dynamic environment.

The Bathymetry Data Manager will oversee processes and infrastructure for acquiring, processing, and managing bathymetric data collected by Saildrone’s autonomous vehicles. This includes developing survey requirements, establishing quality standards, and coordinating with technical teams to improve data methods and automation.

The Senior Software Engineer will build systems and tools to enable data scientists in creating machine learning applications, improve frameworks for scalable pipeline development, collaborate with product owners, and mentor junior team members within the C3 AI Platform engineering team.

As a Staff Applied ML Scientist, you will develop advanced machine learning algorithms to generate insights from large-scale computer networks, specifically focusing on cybersecurity issues. Your role involves utilizing state-of-the-art machine learning and graph learning techniques, fine-tuning LLMs, and building scalable ML products that enhance security policies for users.

As a Senior Data Engineer at Trunk, you will build scalable data pipelines, design efficient data storage solutions, and optimize distributed applications. You will work closely with customers to understand their needs and integrate AI models for analytics. The role requires a strong understanding of distributed systems and experience in building data applications.

The Database Administrator at SquareTrade will manage the database environment, create and configure PostgreSQL and AWS Aurora database clusters, monitor health and security, perform maintenance, manage access control, support developers, and optimize SQL queries while providing 24x7 on-call support.

The Data Wrangler will evaluate and improve high throughput data and metadata quality for bioinformatic use cases, engage with scientists for stakeholder outreach, prepare documentation, and assist in the development of data formats and pipelines.