Top Data Engineer Jobs

The GIS Analyst will analyze and document business requirements, develop GIS maps and data layers, conduct user acceptance testing, manage GIS data for quality control, and ensure compliance with security procedures. They will also create testing scripts and collect user feedback.

The Senior Data Engineer is responsible for designing, developing, and maintaining data infrastructure, creating scalable data pipelines, and ensuring data quality and governance. They collaborate with various teams to meet data needs and stay updated on new data technologies.

The role involves developing and deploying data analytics and visualization projects, particularly focused on HDD media development. Responsibilities include creating dashboards, improving data infrastructure, and collaborating with engineers to understand analytics needs.

The Senior Data Engineer will build and maintain robust data infrastructure, optimize data pipelines, and enhance data visualization capabilities while collaborating with stakeholders and ensuring system reliability through monitoring and testing.

The Cloud Data Architect provides technical leadership in cloud computing and automation, focusing on system and service design on cloud platforms. Key responsibilities include developing enterprise data architecture, implementing cloud-based analytical platforms, and supporting data delivery teams. The role ensures critical applications are optimized for business needs and high availability, while maintaining cloud governance and driving best practices.

The role involves developing quantitative fixed income and equity pricing models within the Investment Analytics Group, analyzing risk analytics systems, and managing an internal analytics library. The candidate will work with senior quants on various financial products and facilitate communication to resolve risk and financial issues.

The Data Analytics and AI Solutions Lead will design scalable AI and data analytics solutions, discover new business opportunities, manage stakeholder relationships, and drive continuous improvement in processes and methodologies. This role requires collaboration with senior executives and a strong understanding of financial services to effectively implement innovative data-driven solutions.