Teza Technologies
Verified live 1d ago
Data Engineer
Brief overview
Austin, TXIn-person
UndergradOr in progress
6 H-1B approvalsDept. of Labor
3 green cardsCertified filings
PythonUnix/LinuxSQLNoSQL databasesPostgresMongoDBQuery optimizationPerformance tuningData modelingNormalizationDenormalizationCloud platformsAWSGCPGit version controlGithubCI/CD best practices
About the company
Teza Technologiesteza.com
Teza Technologies ia a Global Quantitative Trading Firm Based On Talent, Science and Innovation.
Visa sponsorship history
3 years sponsoring, last filed FY2025
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.6H-1B approved
67%approval rate
5new H-1B hires
3PERM certified
$208,000median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20232
20241
20253
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20232
20241
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20231
20252
Top sponsored roles
Chief Financial OfficerPortfolio Manager
Sponsored employees from
China
Job description
Summary
Teza Technologies is looking for Data Engineers to join their data team, where data is critical to all aspects of the firm's business. The role involves working closely with Portfolio Managers and Quantitative Developers to create technical solutions and improve the firm's data infrastructure.
Responsibilities
- 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
Skills
- 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
Qualifications
Must Haves
- 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
Nice to Haves
- 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
- Health, visual and dental insurance
- Flexible sick time policy
