Data Engineer

Teza Technologies

Data Engineer at Teza Technologies responsible for building data platforms for systematic trading. Collaborating with portfolio managers and enhancing data warehouse systems.

Posted 7/7/2026full-timeAustin • Texas • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in Python and SQL for data manipulation and automation, with a strong understanding of data modeling principles and experience in cloud platforms like AWS or GCP. Capable of designing automated systems for data management and maintaining robust vendor relationships in the financial industry.

Highest-signal resume keywords

Python ProficiencySQL KnowledgeData Modeling PrinciplesCloud Platforms (AWS, GCP)Apache Airflow Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLNoSQL DatabasesData ModelingUnix/LinuxGit Version ControlJavaHadoopData CleansingAnomaly Detection

Tools & Technologies

AWSGCPApache AirflowGitHubCI/CD

Industry Keywords

Financial IndustryData WarehouseData EntitlementsQuery OptimizationPerformance Tuning

Tech Stack

Tools & technologies

AirflowApacheAWSCloudGoogle Cloud PlatformHadoopJavaLinuxMongoDBNoSQLPostgresPythonSQLUnix

About the role

Key responsibilities & impact

Work directly with Portfolio Managers and Quantitative Developers to translate business requirements into technical solutions; be a resource to explain dataset details and nuances.
Expand our data warehouse by designing and adding new sources and functionality; improve robustness, speed and scalability of our systems; manage data entitlements.
Provide innovative data management, analytics and technology input to the team and management.
Evaluate new 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 our production data warehouse as required.
Develop and maintain strong vendor relationships aligned with our business objectives.

Requirements

What you’ll need

Proficiency in Python and Unix/Linux for data manipulation, scripting, and automation.
Strong SQL knowledge and familiarity with NoSQL databases (ideally Postgres and MongoDB), including query optimization and performance tuning.
Strong understanding of data modeling principles, including both normalization and denormalization techniques.
Familiarity with cloud platforms, e.g. AWS or GCP
Experience with Git version control, collaborative workflows (e.g., Github), and understanding of CI/CD best practices.
Bachelor’s degree in Computer Science, Information Technology or related field.
Financial industry internships / experience are a plus.
Experience with Java recommended.
Experience with on-premises data infrastructure (e.g., Hadoop)
Experience with Apache Airflow or similar workflow orchestration tools.
An understanding of best practices for data modeling, including data normalization techniques.
Master’s degree in Computer Science, Information Technology, Data Science or related field.

Benefits

Comp & perks

Health, visual and dental insurance
Flexible sick time policy