Top Remote Fintech Data Engineering Jobs

As a Graph Database Administrator, you'll design and maintain core data services, build data pipelines, and optimize performance for internal and external users, focusing on reliability and data governance while collaborating with various teams.

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.

As a Senior Data Engineer, you will design, build, and maintain scalable data platforms, ETL pipelines, and support analytics and ML workflows, ensuring data quality and cross-functional collaboration.

The role involves designing and developing tools in Python for trading and risk management, maintaining data pipelines, and collaborating with teams to enhance trading strategies using advanced techniques.

As an Analytics Engineer, you'll lead the transformation layer of data, focusing on data quality, refactoring for clarity, and optimizing costs in BigQuery. You'll work closely with cross-functional teams to ensure effective data use and architecture as the foundation for AI initiatives.

The Senior Data Engineer will design and implement data processing pipelines using Java and Spark, optimize performance, and mentor junior engineers while ensuring compliance with data governance standards.

As a Senior Data Engineer, you'll design and maintain scalable data pipelines, optimize workflows with dbt and Snowflake, and mentor teams across functions to enhance data reliability and performance.

The Staff Solution Architect leads architectural decisions in fintech, driving projects from design to implementation, ensuring compliance and collaboration across teams while addressing technical challenges and risk management.

The Senior Data Engineer is responsible for designing, managing, and optimizing data pipelines and databases, improving data solutions across business units, and ensuring robust data governance and analytics capabilities.

Develop and maintain data pipelines and reporting tools, support real-time processing workflows, and collaborate with teams to enhance platform capabilities, utilizing Java, Python, and Groovy scripts.