# Data Engineer at Teza Technologies > Onsite · United States · Unspecified · Data engineering · open. Source: https://alderhq.app/jobs/ashby%3Ateza-technologies%3A5835dedb-2ac0-4f3b-838e-53e33e0a2dc8 (read 2026-11-07). ## Facts (observed) - Company: [Teza Technologies](https://alderhq.app/companies/teza-technologies) - Location text: Austin; Yerevan - Where it can be done from (inferred): Onsite · United States (evidence: "Location: Austin; Yerevan") - Posted: 2026-07-07 (122 days ago) - First seen by alder: 2026-11-02 · last verified: 2026-11-03 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://jobs.ashbyhq.com/teza-technologies/5835dedb-2ac0-4f3b-838e-53e33e0a2dc8 - Skills listed (inferred): Python, Java, PostgreSQL, MongoDB, AWS, GCP, Airflow, SQL ## Pay and sponsorship - Posted pay: not posted - Market band for similar posted roles (Austin, n 7): p25 $173k, median $178k, p75 $187k - H-1B filings at this company for similar roles, FY26: 1 ([US DOL OFLC LCA disclosure data](https://www.dol.gov/agencies/eta/foreign-labor/performance)) ## Description (the employer's text) ### 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 --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Ateza-technologies%3A5835dedb-2ac0-4f3b-838e-53e33e0a2dc8 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.