Top Remote Fintech Data Engineering Jobs

The role involves driving product strategy for data infrastructure, leading cross-functional teams, and implementing MLOps practices for data engineering solutions.

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.

As a Data Analytics Engineer I, you'll bridge engineering and analytics, manage data pipelines, collaborate with stakeholders, and utilize modern open-source tech for data transformation and integration in structured finance.

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.

The Analytics Engineer II will build data models, ensure data quality, and support business teams with analytics needs.

The Senior Data Engineer will design and build data models, manage data pipelines, improve data quality, and collaborate with teams to deliver reliable data solutions for the company.

As a Data Engineer, you will build and optimize data pipelines, ensuring accurate data delivery that informs pricing and market analytics at Alt.

The Data Engineer will build and maintain data pipelines, optimize queries, collaborate with teams, and ensure data quality across Google Cloud systems.

Lead the data engineering team, develop data platform strategies, ensure data reliability, and mentor engineers in a fintech environment.

The role involves developing, productionizing, and optimizing trading systems using C++ and Python, focusing on high-frequency trading and market microstructure.