Top Fintech Data Engineering Jobs

The Lead Data Engineer will manage U.S. Data Strategy capabilities, translating business objectives into cloud data solutions, while ensuring scalability and security. This includes ETL, analytics, and technical leadership in a hybrid work environment.

The Principal Data Engineer will design and optimize data pipelines, mentor team members, develop data products, and ensure data integrity while collaborating across teams.

The Staff Data Engineer will build and optimize data pipelines, influence architectural decisions, and support data governance for claims data management. They will work with cloud platforms and big data technologies to ensure high-quality data products.

The Senior Data Architect is responsible for developing data architecture plans, enforcing standards, guiding application teams, and translating business analytics into actionable data designs while coordinating across various data domains.

The role involves driving product strategy for data infrastructure, leading cross-functional teams, and implementing MLOps practices for data engineering solutions.

As a Senior Analytics Engineer at Kikoff, you will build data pipelines, automate financial reporting, ensure data accuracy, and collaborate across teams to deliver insights driving financial performance.

As a Senior Data Engineer, you will build and optimize foundational datasets, data pipelines, and analytical dashboards while ensuring data quality management.

The Assistant Vice President will develop investment solutions, manage data analysis, implement data solutions, and improve data control processes, requiring extensive experience in technology and data management.

Manage data engineering functions, including the development and deployment of data processing technologies for analytics and machine learning, while leading a team and maintaining system performance.

Lead data engineering projects and develop advanced architectures for large datasets. Collaborate with leadership to drive business growth and efficiency through data.

The AVP Product Engineer - AML is responsible for the development and enhancement of AML products, collaborating with compliance and risk teams, and utilizing machine learning for detection of suspicious activities.

Design, implement, administer, and tune complex databases; ensure availability, backup/recovery and security; perform data modeling and analysis; lead Jira and Confluence administration and integrations; support cross-functional teams and data governance.

The Database Engineer III is responsible for designing, developing, testing, and maintaining database systems, performance tuning, and troubleshooting database issues. The role includes database administration and programming using various technologies.