Top Fintech Data Engineer Jobs

Lead AI engineering initiatives, manage a software engineering team to integrate Generative AI, ensure project delivery, and drive innovation.

The Pega Engineer will develop complex data solutions, lead code design, manage data workflows, and mentor Data Engineers while implementing data management standards.

Drive data science vision and strategy to improve marketplace quality by detecting issues like counterfeits and fulfillment delays through advanced machine learning techniques.

The BI Data Engineer will build data pipelines, develop data models, conduct analyses, and drive BI tool usage across teams.

This role is focused on data conversion in ERP projects within the healthcare industry, requiring strong technical and analytical skills to manage customer engagements and ensure smooth data processes.

The Senior Data Science Workbench Analyst leads automation and cloud optimization projects, enhances data accessibility, mentors junior engineers, and improves security for AI/ML workflows.

Design, develop, and implement machine learning models and algorithms; build scalable ML pipelines, ensure data quality, and deploy models to improve customer experiences.

As a Senior Data & AI Platforms Engineer, you'll design and maintain scalable data pipelines, manage data models, and collaborate with teams for data solutions and insights.

The Staff Data Engineer is responsible for building MLOps pipelines, developing new models, implementing deep learning methodologies, and maintaining ETL processes involving large data sets and ensuring data quality.

The Senior Data/ML Engineer will create scalable data/ML systems, maintain data products, and enhance business intelligence solutions through collaboration and ownership.