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Senior Software Engineer, Data Platform at Covariance.ai. . Location: New York. 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.. . 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.