Senior Data Engineer

Teza Technologies is looking for a Senior Data Engineer to join our core services technology team. Data drives systematic trading and is critical to all aspects of the firm's business.

This is a hands-on position on a small team of data engineers with significant growth potential, as this team will grow rapidly over the next couple of years. The firm is looking for outstanding technical skills, strong attention to detail, and experience architecting and building data platforms.

About Teza
Teza is a systematic quantitative hedge fund. Every day we translate complex mathematical concepts into financial strategies trading on the world’s largest markets with synergy between people and technology.
There’s nothing more important to us than collaborative research, uniting the brightest minds on the planet. With offices in six time zones, we never skip a beat – trading 24/7, with holding periods from milliseconds to months.

Job Description

Key responsibilities/Day-to-day:

• 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.

Basic Requirements:

• At least 4 years experience designing, optimizing and deploying ETL/ELT and analytics pipelines.
• Demonstrated experience with Unix/Linux and Python/Pandas for data manipulation and integration.
• Experience with SQL and NoSQL databases, preferably Postgres and MongoDB, including querying, data transformation and performance tuning.
• Experience with on-prem compute environments, e.g., Hadoop.
• Experience with version control, branching and collaboration on GitHub.
• Bachelor’s degree in Computer Science, Data Science or related field.

Nice to have Requirements: 

• Financial industry experience is a plus.
• Experience with Java recommended.
• Familiarity with cloud platforms, e.g. AWS or GCP.
• Experience with Apache Airflow or similar tools.
• An understanding of best practices for data modeling, including data normalization techniques.
• Master’s degree in Computer Science, Data Science or related field.

What you’ll get: 

• Health and disability insurance
• Flexible sick time policy, PTO
• Office Lunch

Benefits

• Health and disability insurance
• Flexible sick time policy, PTO
• Office Lunch