Top Remote Senior Level Data Engineer Jobs

Develop and maintain data platforms, architect data pipelines, and collaborate with stakeholders to drive operational efficiencies. Improve system performance and ensure data security and compliance. Share knowledge through documentation and mentoring.

Lead data engineer role at Wipfli focusing on the continuous advancement of a modern data lakehouse. Responsible for translating requirements into effective data models, developing in data technologies, managing project life cycle activities, achieving/maintaining proficiency in required skills, and collaborating with team members.

The Senior Data Engineer will lead the development of high-impact products, collaborate with Finance and Accounting teams, and take ownership of data services lifecycle. Responsibilities include architecting data models, resolving data integrity issues, and ensuring data solutions align with business needs.

The Senior Data Engineer will design, develop, and manage scalable data architectures and pipelines, primarily using cloud platforms like Azure. Responsibilities include data integration, modeling, optimization, and mentoring. The role emphasizes collaboration with cross-functional teams to ensure data infrastructure supports analytics and drives decision-making.

The AI/ML Scientist Manager will lead the deployment of AI solutions, ensuring best practices in model operationalization. Responsibilities include framework development, collaborative implementation with Data Scientists, team leadership of ML engineers, managing ML operations with ML Flow, and overseeing CI/CD pipelines.

The Senior Data Engineer will analyze requirements, write and ship code in dbt, design data pipelines, enhance data systems, and mentor junior engineers. This role focuses on leveraging data for strategic business impact and improving developer efficiency through automation within a cloud environment.

The Director of Data Strategy and Analytics will lead the strategy and analytics function to empower Sales, Marketing, and Customer Success by developing data-driven insights and performance management systems. Responsibilities include building analytics capabilities, managing a team of analysts, and conducting complex analyses for strategic decision-making.