Data Platform Engineer — Python/SQL, Cloud, On-site

Teza Technologies; Austin (TX); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health, dental and vision insurance

In-office collaboration

Job summary

Teza Technologies is looking for Data Engineers to join our data team. Data drives systematic trading and is central to the firm's business.

This hands-on role sits on a small team with rapid growth potential. You will work directly with Portfolio Managers and Quantitative Developers to translate requirements into robust data solutions, expand the data warehouse, and improve speed, scalability and data quality.

Qualifications

• Python and Unix/Linux for data manipulation and automation.
• SQL and NoSQL databases with Postgres/MongoDB; query optimization.
• Data modeling: normalization and denormalization.
• Cloud platforms like AWS or GCP.
• Git workflows and CI/CD practices.
• Bachelor’s degree in CS/IT or related field.

Responsibilities

• Translate business requirements into technical data solutions with PMs and developers.
• Expand data warehouse by adding sources; improve robustness, speed and scalability; manage data entitlements.
• Provide data management, analytics and technology input to the team and management.
• Evaluate tools and technologies suitable for organizing, querying and streaming large datasets.
• Design and build automated systems for data cleansing, anomaly detection, monitoring and alerting.
• Support production data warehouse as required.
• Develop and maintain strong vendor relationships aligned with business objectives.

Skills

Python

Unix/Linux

SQL

NoSQL databases

Data modeling

Cloud platforms

Git

CI/CD

Education

Bachelor's degree in Computer Science or related field

Tools

Postgres

MongoDB

Git

CI/CD

Apache Airflow

Job description

Teza Technologies is looking for Data Engineers to join our data team. Data drives systematic trading and is central to the firm's business.

This hands-on role sits on a small team with rapid growth potential. You will work directly with Portfolio Managers and Quantitative Developers to translate requirements into robust data solutions, expand the data warehouse, and improve speed, scalability and data quality.