Data Engineer
Indexed description
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.
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