Top Fintech Data Engineering Jobs

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.

As a Workday Integration Consultant at Deel, you'll implement certified integrations for clients, support payroll data, troubleshoot issues, and ensure compliance while maintaining documentation.

This program recruits PhD graduates for internships and full-time roles, focusing on applying AI and computer science to impactful technology solutions.

Lead development of fixed income pricing and risk systems, manage daily risk processes, collaborate with portfolio managers, and oversee analytics in production environments.

The Data Modeler designs and maintains data models and structures, translating business needs into effective data frameworks, while ensuring data governance and supporting AI/ML initiatives.

The role involves leading data integration strategies, developing ETL workflows, managing platform architecture, and contributing to technical solutions in a financial services context.

The Principal Data Engineer will design and implement enterprise data frameworks, mentor teams, and ensure data quality while collaborating with stakeholders.

The Quantitative Developer Intern will design and implement low-latency trading platforms and high-performance backtesting frameworks using C++ and Python in a cloud environment.

Lead the technical direction of data engineering by designing ETL pipelines, ensuring data quality, optimizing infrastructure, and mentoring junior engineers.

Lead design, build, and maintenance of scalable data pipelines and lakehouse infrastructure using PySpark, Databricks, and Airflow. Own data & ML platform (Terraform, Databricks), improve observability, data quality, and developer tooling, and partner closely with Data Science and engineering teams.