Top Fintech Data Engineering Jobs

The Seismic Marketing Manager will manage data integration, project management, validation, and act as a technical consultant for the Seismic platform, ensuring high quality data flows and client satisfaction.

The Associate Actuary will lead actuarial model development for life insurance products, support valuation services, oversee model lifecycles, drive strategic initiatives, and foster talent development within the actuarial team.

As a Data Platform Engineer, you'll architect and implement data services, build data pipelines, optimize for real-time risk assessment, ensure data governance, and collaborate across teams.

Seeking a Senior Oracle Database Administrator with AWS Cloud expertise to design, manage, and optimize hybrid cloud database environments, ensuring security and compliance.

The Associate Director of Data Engineering will lead a team, develop employees, manage performance, foster collaboration, and improve organizational efficiency.

Design and develop Python-based analytics tools for investment research and portfolio analysis, while managing data lakes and AWS solutions.

Lead design and implementation of enterprise Azure cloud data platform capabilities. Define reference architectures, reusable platform components, standards, and enablement for ingestion, storage, processing, security, and observability. Provide hands‑on engineering, technical leadership, cross‑functional collaboration, and mentorship to ensure scalable, secure, and consistent data solutions.

The Business Systems Specialist will support data conversion, collaborate with IT and Operations teams, and ensure successful data integration across various business lines.

The Data Engineer II is responsible for designing, building, and optimizing data solutions in Azure, focusing on data pipelines and quality management. Collaborative efforts with analysts and scientists ensure effective data solutions for business needs.

The Data Engineer will assist in testing and deploying applications, implementing data quality and warehouse pipelines, and collaborating with various teams.