Averity · 5 days ago
Data Engineer @ Mission-Driven Series A Startup NYC
Averity is a mission-driven Series A startup focused on empowering small business owners against corporate dominance. The Data Engineer will design and maintain scalable data pipelines, integrate diverse datasets, and develop data deliverables that enhance product features.
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Responsibilities
Design, build, and maintain scalable data pipelines, with a strong focus on the transformation layer of ETL processes using Python
Ingest and integrate large volumes of first and third-party data, including small business, real estate, and financial datasets, and prepare them for investor-facing products
Develop and maintain intermediate data deliverables that support multiple product features and downstream applications
Build and enhance shared data schemas to standardize and unify data across diverse sources
Leverage LLMs and AI tools to parse, structure, and extract insights from unstructured datasets
Contribute to the development of pricing and valuation models, including improving model transparency and explainability using AI techniques
Work with national origination lists and property-level datasets, including landlord and property attribute data, to expand and enrich data coverage
Qualification
Required
Proven experience building Data products
Tech Stack alignment: Python, SQL, GCP, PySpark, Databricks
Experience utilizing alternative datasets
A mission-driven mindset—you want your work to have a real-world impact
You thrive in an in-office collaborative environment where we challenge each other to bring our best selves every day
Preferred
A degree in Computer Science
Experience in PropTech, FinTech, Financial Services, or Insurance—if you've worked at a company that delivers lines of credit, you'll do well here
Benefits
Significant equity – own a meaningful stake in the company’s future
401(k) plan
Fully covered benefits (Health, Dental, Vision)