Top Fintech Data Engineer Jobs in Boston, MA

As a Data Engineer, you will design and build data pipelines, ensuring data accuracy and developing data solutions that meet business requirements.

The Applied Researcher II at Capital One will develop AI foundation models, collaborate with cross-functional teams, and engage in impactful applied research to enhance customer interactions through AI applications.

Lead the Analytics Engineering team to enhance data modeling and transformation, ensuring accurate data governance and user empowerment through effective data pipelines and models.

Lead Hometap's data architecture and engineering functions, ensuring data is a strategic asset and managing teams for efficient data governance and operations.

The Principal Data Engineer will design and build data solutions and workflows using a range of technologies. Responsibilities include working collaboratively in an agile team to develop data engineering operations focused on data ingestion, curation, and testing.

The Data Engineering Manager at Circle leads a team of data engineers, overseeing the development of reliable data warehouses and pipelines for blockchain analytics, while mentoring team members and collaborating with cross-functional teams.

As a Machine Learning Engineer, you'll enhance ML productivity, improve model deployment, and implement algorithms for credit decisioning systems.

Lead a team of analytics engineers to develop data insights and infrastructure for Consumer CX operations, enhancing decision-making and operational efficiency.

Lead the design and development of scalable ML systems to enhance customer experience. Own the machine learning lifecycle, collaborate across teams, and mentor other data scientists.

The Senior Machine Learning Engineer will enhance a platform for data scientists, lead ML service development, and collaborate cross-functionally to deliver AI solutions.