Data Engineer: Build Scalable Data Platforms for Trading

Teza Technologies; Austin (TX); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Health, vision and dental insurance

Flexible sick time policy

Job summary

Teza Technologies is hiring a Data Engineer to join our data team in a hands-on role. You will work with Portfolio Managers and Quant Developers to translate requirements into scalable data solutions.

Responsibilities include expanding the data warehouse, improving performance, and building automated data cleansing and monitoring systems. Cloud familiarity (AWS/GCP), Python, SQL, and NoSQL experience are essential.

Qualifications

• Bachelor's degree in Computer Science, Information Technology or related field.
• Proficiency in Python and Unix/Linux for data manipulation, scripting, and automation.
• Strong SQL knowledge and familiarity with NoSQL databases (Postgres and MongoDB).
• Familiarity with cloud platforms (AWS or GCP).
• Experience with Git version control and CI/CD best practices.

Responsibilities

• Translate business requirements into technical data solutions with Portfolio Managers and Quant Developers.
• Expand data warehouse by designing and adding sources and functionality; improve robustness, speed and scalability; manage data entitlements.
• Provide data management, analytics and technology input to the team and management.
• Evaluate tools and technologies 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 needed.
• Develop and maintain vendor relationships aligned with business objectives.

Skills

Python

SQL

NoSQL

Data modeling

Cloud platforms

Git & CI/CD

Unix/Linux

Education

Bachelor's degree in CS/IT

Tools

PostgreSQL

MongoDB

Job description

Teza Technologies is hiring a Data Engineer to join our data team in a hands-on role. You will work with Portfolio Managers and Quant Developers to translate requirements into scalable data solutions.

Responsibilities include expanding the data warehouse, improving performance, and building automated data cleansing and monitoring systems. Cloud familiarity (AWS/GCP), Python, SQL, and NoSQL experience are essential.