---
title: 'Data Engineer at Teza Technologies'
canonical: 'https://feeny.ai/job/data-engineer-teza-technologies-austin-7qm8y0saqm71'
type: 'job'
last_seen: '2026-09-11'
---

# Data Engineer at Teza Technologies

- **Company:** Teza Technologies
- **Location:** Austin, TX
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-07-07
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.ashbyhq.com/teza-technologies/5835dedb-2ac0-4f3b-838e-53e33e0a2dc8

## Job description

## About the role

Teza's Data Platform team owns the data the firm trades on: every backtest, every live strategy, every portfolio decision starts with data we ingested, cleaned, stored, and served. The scale, in plain numbers:

- 1 PB of raw historical vendor data, growing by ~150 GB every day
- 120 TB of processed, query-ready data in historical storage
- Thousands of scheduled jobs: run by cron today, actively migrating to Apache Airflow
- Alternative data delivered directly into the real-time feeds of live trading strategies

This is a hands-on position on a small team of data engineers with growth potential. The firm is looking for outstanding technical skills, strong attention to detail, and a desire to architect and build data platforms.

Location Austin, TX / Yerevan, Armenia (in-office requirement)

## Key Responsibilities

- Work directly with Portfolio Managers and Quantitative Developers: turn their requirements into datasets and pipelines, and be the person who knows every nuance of the data they trade on.
- Design and onboard new data sources into our warehouse; improve the robustness, speed, and scalability of our systems; manage data entitlements.
- Build automated systems for data cleansing, anomaly detection, monitoring, and alerting, bad data must never reach a strategy.
- Evaluate new tools and technologies for organizing, querying, and streaming large datasets, and when nothing on the market fits, build it. That's how the bitemporal store happened.
- Support the production data warehouse the firm depends on.
- Develop and maintain vendor relationships aligned with our business objectives.

## What we're building right now

- A bitemporal data store, designed and written in-house from scratch. Every dataset answers both "what did we know then?" and "what do we know now?", which is what lets researchers trust a backtest.
- A Python 3.14 migration of a large, long-lived codebase.
- Adoption of the latest Apache Airflow: writing DAGs for the thousands of jobs moving off cron.
- Pipelines for market data and alternative data: everything from exchange feeds to weather.
- Real-time delivery: alternative data flows straight into strategies' live feeds. Pipelines you build sit in the trading path.
- CI/CD for all of it, in GitHub Actions.

## Our Stack

Python and Java · Apache Airflow · Slurm · NATS · PostgreSQL · MongoDB · S3 · NFS · GitHub Actions

## Basic Requirements

- Proficiency in Python and Unix/Linux for data manipulation, scripting, and automation.
- Strong SQL, including query optimization and performance tuning, and familiarity with NoSQL.
- A solid grasp of data modeling: normalization and denormalization, and the judgment to know when each applies.

## Nice to have

- Financial industry experience or internships.
- Java (part of our platform is written in it).
- Experience with on-premises data infrastructure.
- Familiarity with a cloud platform (AWS or GCP).
- Apache Airflow or similar workflow orchestration tools.

## Benefits

- Health, visual and dental insurance
- Flexible sick time policy

## About Teza Technologies

## Company Overview
- **One-liner**: Teza Technologies is a systematic trading firm that translates complex mathematical concepts into financial strategies across global markets, blending high-performance technology with deep scientific research.
- **Entity Type**: Private (bootstrapped; no external funding rounds disclosed)
- **Headquarters**: Chicago, United States
- **Founded**: 2009
- **Founders**: Dr. Misha Malyshev

## Core Business
- **Primary industry/industries**: Capital Markets / Quantitative Finance / Hedge Funds
- **Target customers**: Institutional investors; the firm operates a multi‑strategy quantitative hedge fund that trades on its own capital (internal money from 2009–2015, later opened to institutional capital).
- **Mission or purpose statement**: “Talent, science, and innovation meet” – the firm aims to be the best team on the financial markets through collaborative research and scientific rigor.

## Products & Services
- **Futures**: Models supply/demand across global commodities, bonds, and currencies using a framework built on market microstructure and economic causality. Strategies are market‑neutral and statistically driven, processing over 500 billion market data packets daily.
- **Equities**: Spans thousands of instruments in U.S. and APAC markets, combining scale with precision. Statistical arbitrage and high‑throughput systems are core.
- **Options**: Expanding into volatility surfaces and correlation models. Volatility‑aware strategies that draw on firm‑wide equities and futures capabilities.
- **Artificial Intelligence**: Deep learning architectures including LLMs and neural networks to uncover hidden signals. Integrated into every stage of the trading lifecycle.
- **Technology Platform**: Low‑latency infrastructure, real‑time execution, scalable research stack. At peak processes 7+ million messages per second.

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metric**: Approximately 76 employees (LinkedIn); estimated annual revenue of $10M is reported by some third‑party sources but has not been officially confirmed.
- **Notable Investors/Partners**: The firm is privately held with no disclosed external investors. Key past talent sources include Citadel, Tower Research Capital, Yandex, and Goldman Sachs.
- **Growth Signals**: Headcount grew +16.3% year‑over‑year (LinkedIn); active job postings increased +87.5% year‑over‑year; expanded into Armenia and deepened presence in global equity and options markets; multi‑strategy platform now covers global futures, equities, and options.

## Competitive Advantages
- **Proprietary formula for hiring**: “Success = step(IQ) × step(IT) × step(HR) × exp(Drive)” – filters for fast thinking, technical fluency, collaboration, and ownership. Creates a culture of high‑performing, autonomous teams.
- **Scientific culture**: Flat, open‑door structure with minimal bureaucracy; strong emphasis on R&D and rapid prototyping.
- **Infrastructure scale**: Processes 100+ billion market data packets daily; built one of the fastest low‑latency execution systems.
- **Track record**: Operating since 2009 with deep roots in HFT (historical Sharpe ratios of 10‑20), now diversified across multiple strategies and asset classes.

## Strategic Focus
- **Expansion beyond HFT**: Transitioned from a pure high‑frequency trading shop to a multi‑strategy quantitative hedge fund.
- **Options trading**: Actively building and scaling options strategies using the firm’s equities and futures expertise.
- **AI integration**: Deploying LLMs, neural nets, and machine‑learned alpha across research and trading.
- **Global footprint**: Offices in Chicago, Austin, London, Yerevan, and presence in Colombia, with plans to further expand talent pools globally.

## Why Work Here
- **Culture**: “Scientific, open‑door culture with a flatter structure.” Employees are encouraged to question, experiment, and collaborate across disciplines. No micromanagement, no bureaucracy.
- **Benefits** (U.S.): 401(k) with immediate vesting, two medical plans (PPO and HDHP with HSA), wide range of coverage.
- **Work environment**: 76 person firm with offices in six time zones; hybrid/office‑based depending on role. Most employees write code (C++, Java, Python).
- **Interview process**: Averages 25‑30 days; includes coding tests, live problem‑solving, and non‑technical assessments. Technical topics vary by role. Uses an Automated Employment Decision Tool (AEDT) for skills assessment.
- **Notable engineering culture**: Emphasis on technical fluency across the entire firm (not just developers). Research and engineering teams work tightly together.

## Sources
1. [teza.com](https://www.teza.com/) – Company homepage
2. [teza.com/who-we-are](https://www.teza.com/who-we-are/) – Company story, leadership, values
3. [teza.com/what-we-do](https://www.teza.com/what-we-do/) – Products, technology, AI, strategies
4. [teza.com/careers](https://www.teza.com/careers/) – Careers page, benefits, interview process, culture
5. [linkedin.com/company/teza-technologies](https://www.linkedin.com/company/teza-technologies) – Employee data, headcount growth, job trends, talent sources

## Other roles at Teza Technologies

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- [Quantitative Researcher, PhD](https://feeny.ai/job/quantitative-researcher-phd-teza-technologies-austin-m6dfyyxma5ek) — Austin, TX
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- [DevOps Engineer](https://feeny.ai/job/devops-engineer-teza-technologies-yerevan-zc9wr3er3f23) — Yerevan, Armenia
- [Trading Platform Developer](https://feeny.ai/job/trading-platform-developer-teza-technologies-austin-5dvy1pn6whvx) — Austin, TX
- [Stay Connected With Us !](https://feeny.ai/job/stay-connected-with-us-teza-technologies-london-q14yqzf58j2w) — London, United Kingdom
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