Data Engineer - Quant Trading

Data Engineer - Quant Trading

About Deeter Investments

Deeter Investments is a founder‑led proprietary trading firm built around real‑time, data‑driven decision‑making.

We prize curiosity, collaboration, and a bias for action. After years of discretionary success, we’re launching a dedicated algorithmic division.

Role Description

As our first Data Engineer, you’ll own critical datasets end-to-end from ingestion and system architecture to reliability and access.

You'll be designing, building, and running the data backbone for our algorithmic team.

You’ll work directly with traders and researchers to turn messy external feeds into high-performance, well-structured datasets that guide decisions in research and production.

Key Responsibilities

• Architect cloud-native batch and streaming ELT for diverse sources; standardize, de-duplicate, document; define schemas and redundancy.
• Stand up core platform : storage / lakehouse, orchestration, metadata / catalog, CI / CD, IaC, observability; keep it simple and cost-aware.
• Implement data quality checks, anomaly detection; maintain survivorship-bias-free histories and handle corporate actions / entitlements.
• Expose clean data via APIs / query layers and shared libs; produce “research-ready” datasets for fast backtests and production.
• Partner with quants / DS / SWE to scope, prototype, and productionize new datasets quickly; own incident response and runbooks.
• Uphold security and access hygiene (IAM / least-privilege, secrets, audit).

Qualifications & Experience

Nice to Have

Location : Remote

Language : English required

Employment : Full-time