Senior Software Engineer, Data Platform

Hiring for multiple roles.

Traditional forecasting breaks under petabytes of features, megabytes of labels, and time-varying noise. Our breakthrough research is foundational in the field: generating industry-beating results (MIT News). Our predictive engines combine a wide variety of data through rigorous scientific process.  We leverage alternative datasets (consumer transactions, geolocation, etc) along with private, public, external, and internal data. 

The Data Platform is a critical component in our scientific approach to forecasting. The role will require everything from high-level architecture design to performant implementation.

• →Build distributed systems supporting complex transformations over petabyte-scale data
• →Design, implement, and maintain production cloud data pipelines for complex, disparate datasets
• →Work closely with our Quants and Applied Scientists to support rigorous scientific process, rapid experimentation, and new product initiatives  

• Bachelor’s or advanced degree in Computer Science, math or equivalent 
• 3+ years of experience in data engineering or related fields with a track record of building (coding) and scaling a data platform
• 2+ years of industry experience building ETL pipelines in a major cloud provider
• Highly proficient in python and SQL
• Advanced knowledge of databases, design patterns, OOP, and concurrency
• Knowledge of data management fundamentals and data storage principles
• Passion for intuitive data models 
• Experience communicating with senior management as well as colleagues from engineering, analytics, and business backgrounds
• Experience with AWS, orchestration platforms, and modern tech stacks
• Strong software engineering fundamentals: system design, algorithms, data structures

• Experience building systems that integrate LLMs with large-scale data processing
• Working understanding of basic probability and statistics
• Experience implementing ML models
• Experience with DBT
• MS or PhD in STEM field

In-person at our NYC office strongly preferred.  Remote candidates who can spend some time in-office (e.g., monthly) will also be considered.