Top Data Engineer Jobs

As a Senior/Staff ML Research Scientist at Nuro, you will research and develop advanced machine learning techniques to enhance scene retrieval and search capabilities for autonomous driving systems. In this role, you'll create ML data pipelines, collaborate with infrastructure teams, and implement innovative solutions while maintaining a focus on practical applications for real-world impact.

The Financial Analytics Engineer will enhance data and analytics infrastructure, focusing on fund planning, portfolio construction, and performance analysis. They will design scalable data pipelines, collaborate on LLM solutions, and ensure seamless data operations with cross-functional teams.

Design, implement, test, deploy, monitor, and support new and existing modules of the Data Platform for a high-tech home security company. Collaborate with external companies, internal teams, analysts, and data scientists to analyze data and ensure home security. Embrace a hybrid work model with flexibility between office and home.

As a Data Engineer at Brex, you will design, build, and maintain scalable data models and pipelines, collaborate with Data Scientists and BI Analysts to understand data needs, and ensure high-quality data documentation. You will play a key role in enabling data-driven initiatives and maintaining robust data workflows across the organization.

In this role, a Staff Data Analyst will work with engineering teams to enhance the Aurora Driver through data analytics, developing metrics and dashboards, mentoring in the data space, and collaborating on various Data Science projects to improve performance across subsystems.

Lead the development and maintenance of data services and solutions, design efficient data models, improve architecture and processes for data products, and create new data products. Collaborate with teams to meet strategic and operational needs.

The Senior Data Engineer will enhance and optimize data architecture and pipelines, work with cross-functional teams, develop data applications, and implement machine learning solutions. Responsibilities include data analysis, ETL processes, and ensuring data delivery compliance while following SDLC principles.