Top Fintech Data Engineering Jobs in Austin, TX

The role involves collaborating on Bot-Apps and UI-Apps development, troubleshooting existing systems, and enhancing product support in a technology-focused environment.

The Quantitative Researcher will develop and manage trading algorithms, optimize strategies, and collaborate with traders while supporting junior team members.

This role involves designing and maintaining data pipelines, creating dashboards, and collaborating with stakeholders to drive analytics solutions for external data products.

Lead the design and implementation of algorithmic trading strategies, oversee technical infrastructures, and mentor a multidisciplinary team while managing performance analysis and risk.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.

The Manager of Data Analytics Engineering will lead a team of engineers, manage data pipelines migration, collaborate with project managers, and mentor staff while fostering growth in a data-driven environment.

The Analytics Engineer will build reporting models in Snowflake, manage data pipelines, support data integration, train staff, and document processes ensuring analytics integrity.

The Data Engineer will enhance the Enterprise Data Warehouse, modernizing ETL processes, optimizing data transformations, ensuring data quality, and providing production support while collaborating with cross-functional teams.

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.

The System Conversion Data Mapping Analyst will manage client data conversion to ValonOS, ensuring accurate data mapping and validation through testing and collaboration with engineering teams.