Top Fintech Data Engineer Jobs in Boston, MA

As a GCP Tools Senior Analyst, you will support analytics functions, provide technical training, design GCP infrastructure, and enhance analytics capabilities.

Lead a data science team in developing machine learning models for credit risk management, driving business outcomes and team growth.

As a Senior Data Scientist, you will develop and deploy AI/ML models, transition them to production, and mentor junior members while collaborating with cross-functional teams.

As a Senior Data Infrastructure Engineer, you'll manage large-scale data platforms, ensuring their performance and scalability while collaborating with development teams and supporting data initiatives.

Design and maintain high-quality data pipelines, develop DBT models, collaborate with analytics and data science teams, and optimize data operations for scalability.

Lead the architecture and development of scalable data pipelines, mentor team members, and align data engineering practices with business objectives in a complex technical environment.

Drive AI innovation for data analytics and risk management by developing AI/ML models, analyzing large datasets, and implementing real-time monitoring solutions.

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

As a Data Scientist focusing on MLOps, you will forecast cash flows, improve user experience, explore datasets, build and deploy models at Pipe.

The Director of Data Engineering leads teams in developing data pipelines, architecture, and infrastructure improvements, and collaborates with cross-functional areas within Voya Financial.