Data Engineer

Data Engineer

AI Startup | New York City (on-site)

Compensation: $260,000–$300,000 + equity package.

About

A small data team owns everything: pipelines, quality checks, core data models, and the infrastructure that feeds product decisions across the business. High-leverage work at a company that is scaling fast.

The company builds AI agents that automate high-volume operational workflows. The product is live, the data surfaces are growing, and system stability is a real engineering challenge.

The fit is a strong software engineer who is deep on data - someone who moves across services, debugs problems at the source, and owns outcomes end-to-end.

What you'll do

* Own the data pipeline completely: design, implement, and maintain data infrastructure and ETL processes

* Build large-scale pipelines that process high volumes reliably with clear quality standards

* Design core data objects and models used across the organisation

* Optimise data flow for product, operations, and analytics teams

* Implement data quality monitoring and alerting systems

* Develop client-facing reporting and metrics datasets

What you'll need

* 4+ years of professional data engineering experience

* Strong coding foundations in Python, Java, and/or SQL

* Solid ETL design and implementation experience

* Knowledge of data warehousing, particularly Snowflake

* Startup mindset: high ownership, scrappy, comfortable with ambiguity

* On-site in NYC (strongly preferred; SF only for truly exceptional candidates)

Shortlisted candidates will be contacted within 48 hours.