# Senior Software Engineer, Data Platform - Company: [Covariance]() - Location: New York - Team: Product & Engineering - Salary: $145K – $220K - Posted: September 24, 2025 ## Job description 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](https://www.covariance.ai/#research-press-section)). 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. **Responsibilities include:** * 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 **Required qualifications:** * 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 **Nice-to-haves:** * 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. **Benefits:** * The salary range for this position is $145,000-$220,000 * Free health, vision, dental insurance * 401k with match * Unlimited PTO + 13 company holidays * Daily Grubhub lunch stipend * Pre-tax commuter benefits ## Apply [Apply on Covariance]() Canonical job page: