Top Data Engineer Jobs

The Machine Learning Engineer will develop large-scale distributed training pipelines, build low-latency inference systems, and optimize model performance using GPU acceleration. Collaborating with researchers, the role involves enhancing ML frameworks and automating experiments while working within high-pressure trading environments.

Looking for a Data Engineer to create solutions for Apex Compliance and Regulatory team using next generation cloud-based data platform. Responsibilities include designing, developing, and deploying solutions on large scale trading data, building reporting infrastructure, and delivering data sets to regulatory entities and vendors.

The Director, Data Integration will oversee claims data integration, ensuring accurate and timely data integration across systems. This role involves leading a team of data engineers, shaping data strategy, engaging in product development, and collaborating closely with clients to drive successful data initiatives.

As a Senior Data Engineer, you will focus on building data infrastructure, managing ETL pipelines, collaborating with analysts, maintaining databases, and implementing process improvements. You will lead the development of data services and stay updated with cloud technologies to enhance data handling across the company.

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.

The Associate Data Engineer at Avant will develop and refine the company's data model to support business needs, engage with stakeholders to clarify requirements, and ensure high-quality data governance. The role involves mentoring teammates and utilizing various technologies to automate data pipelines and optimize database performance.

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.