Top Senior Level Data Engineer Jobs

As a Senior Machine Learning Engineer at Wasabi, you will develop and refine computer vision algorithms and NLP models while leading AI advancements in a team-oriented environment. Responsibilities include collaborating across teams, optimizing machine learning models, and ensuring reliable implementation and maintenance of AI systems.

The Senior Cloud Data Engineer will design, develop, and enhance data solutions and pipelines, driving data-driven decisions. Responsibilities include collaborating with teams, building cloud-native solutions, optimizing data pipelines, and mentoring junior engineers.

The Senior Data Engineer will lead data engineering projects, including building ETL tools, data pipelines, and enhancing data quality and governance for a real estate data platform. This role involves collaboration with cross-functional teams and shaping team culture.

As a Principal Machine Learning Engineer, you will develop scalable ML systems for Roblox's Virtual Economy, overseeing design, collaborating with teams, mentoring junior engineers, and setting the direction for future ML initiatives.

As a Senior Principal Machine Learning Engineer at Atlassian, you will design and implement innovative machine learning models to enhance products like Jira and Confluence, analyze vast datasets for insights, and collaborate with cross-functional teams to foster AI integration. You'll also mentor colleagues and lead AI knowledge-sharing sessions.

The Staff Machine Learning Engineer will design, build and productionize machine learning models to tackle business challenges, collaborate with product managers and engineers, maintain high code quality, and research emerging technologies. They will also share knowledge through presentations and discussions.

The Director of Business Intelligence, Reporting & Analytics will lead the team in achieving strategic objectives by integrating data insights, automation, and visualization tools to support decision-making in operations. This role involves collaborating with various leaders, managing a team, and enhancing a data-driven culture within the organization.