Top Data & Analytics Jobs

Lead design and delivery of scalable data integration, storage, and infrastructure to enable analytics and AI. Build ETL/ELT pipelines, cloud-native data systems, IaC and CI/CD, ensure SRE practices (SLOs/SLIs), prototype end-to-end solutions, and drive architectural trade-offs while collaborating across teams to transition validated solutions to platform engineering.

Design, develop, and maintain AxiomSL data sources, mappings, and regulatory reports. Build scalable data pipelines, perform advanced SQL transformations, ensure data lineage and reconciliation, support audits and production L2/L3 operations, and drive automation and platform upgrades to meet regulatory requirements.

The Lead Data Platform Engineer will design and build Virtuous's data platform, ensuring it is secure, scalable, and AI-ready. Responsibilities include architecting access controls, optimizing performance, and enabling self-service analytics while maintaining governance and compliance standards.

Design, develop, and maintain large-scale data architectures and pipelines; deploy cloud-native data applications and CI/CD; support ML model productization; enforce code hygiene and best practices; mentor junior engineers; produce documentation and runbooks; collaborate with consulting teams and clients and travel as required.

As a Staff Data Engineer, you'll architect secure data systems, build pipelines, enforce best practices for sensitive data management, and mentor teams across Tonal.

The Senior Data Engineer will design and scale cloud-based data platforms, ensuring quality and performance while collaborating with cross-functional teams to deliver actionable data solutions.

The role involves building and owning data pipelines, maintaining data quality, and creating reporting systems that provide insights to various teams. The candidate will also design AI-ready data infrastructure.

Design and build scalable cloud-native data platforms on AWS, architect streaming and batch ingestion pipelines, implement data lakes/warehouses, optimize data models, enforce security and governance, and expose curated datasets as APIs for applications.