Top Data Engineer Jobs

Develop and implement innovative pricing algorithms using machine learning and optimization techniques to solve complex pricing challenges. Engage in the entire ML development pipeline, from data acquisition to model deployment, while collaborating with cross-functional teams and effectively communicating results to diverse audiences.

As a Database Administrator at iManage, you will oversee the lifecycle of Database Server systems, leading their implementation, configuration, maintenance, and performance optimization. Your role includes monitoring system health, providing solutions to issues, partnering with developers for query tuning, and ensuring the availability and security of production applications.

As a Data Production Engineer, you will support live trading teams by automating tasks, analyzing data, and ensuring data quality. Responsibilities include onboarding datasets, performing validations, debugging data anomalies, and providing production support in a fast-paced trading environment.

The Senior Data Engineer will design, develop, and maintain data sourcing, ingestion, and transformation solutions for reporting and analytics. Responsibilities include creating data ingestion pipelines in Databricks, maintaining automation pipelines, documenting processes, and mentoring junior developers.

The Data Engineering Lead provides technical leadership to the Data & Analytics team, collaborates with product management, mentors team members, and ensures the successful execution of data and analytics projects while maintaining coding standards and best practices.

The Manager, Data Management Operations will oversee the Supplier Management function, ensuring cohesive and efficient operations and administration. Responsibilities include compliance oversight, data tracking, KPIs reporting, and supporting various cross-functional projects. The role involves liaising with stakeholders globally to improve supplier performance and manage supply chain compliance.

The Senior Machine Learning Engineer will create end-to-end AI and machine learning solutions, collaborating with stakeholders to define project requirements, gather data, and deploy models into production. Responsibilities include analyzing data for insights, managing projects from start to finish, and staying updated on industry trends to drive innovation.