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The Voleon Group Data Engineering Jobs

Open data engineering roles at The Voleon Group, pulled live from their hiring system.

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5 openThe Voleon GroupData Engineering

100% of open data engineering roles call out Airflow; Python and Go appear in roughly a third. 80% of these data engineering roles are fully remote.

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Latest data engineering roles at The Voleon Group
The Voleon Group

Staff Software Engineer, Batch and Realtime Streaming

Architect and build Voleon’s batch and realtime streaming platform that powers ML research and production trading systems. Requires 10+ years experience building scalable data infrastructure with Python, Go, and distributed systems.

315k – 405kBerkeley, CA +1Data EngineeringRemoteGoRay
The Voleon Group

Senior Software Engineer, Strategy Research Analytics

Leads design and evolution of analytics infrastructure for research reporting, owning pipelines, datasets, and platform standardization. Collaborates with data scientists using Python, SQL, distributed engines like Presto/Spark. Requires 6+ years in data infrastructure.

200k – 255kBerkeley, CA +1Data EngineeringRemoteSQLORC
The Voleon Group

Senior/Staff Software Engineer, Data Infrastructure Group

Builds and scales data infrastructure including cataloging, versioning, and lineage to support research and production workflows. Collaborates with engineers and researchers, provides technical guidance, and mentors teammates requiring 5+ years experience in software engineering and data technologies.

225k – 310kBerkeley, CA +1Data EngineeringRemoteGoC++
The Voleon Group

Senior/Staff Software Engineer, Data Engineering Team

Builds scalable data ingestion pipelines, processing systems, and tooling to support AI/ML research and trading operations at a quantitative finance firm. Requires 5+ years experience in robust software engineering with modern languages and data infrastructure expertise.

225k – 310kBerkeley, CA +1Data EngineeringRemoteGoC++
The Voleon Group

Senior Software Engineer, Post-Trade Financial Systems

Develops scalable data infrastructure, real-time processing systems, and observability tools for post-trade financial systems supporting AI/ML-driven trading. Requires 5+ years experience with Python, data engineering, and cross-functional leadership in high-stakes production environments.

225k – 255kBerkeley, CAData EngineeringHybridGoETL