Turning consumer data into brand revenue through applied artificial intelligence.
Data Engineer, Data Product
Brands sit on mountains of consumer data, yet extracting tangible revenue from it remains a massive challenge. This growth-stage AI startup builds the pipeline that closes that gap. As a Data Engineer on the data product team, you will architect the foundational infrastructure that transforms raw consumer signals into reliable, revenue-generating intelligence for enterprise clients. You will own the flow from ingestion through transformation, ensuring the underlying data product is robust enough to power real-time marketing decisions.
What they're looking for
- 2 to 5 years of professional experience building data pipelines and infrastructure.
- Fluency in Python, with hands-on production experience across Airflow, Snowflake, and Spark.
- Comfort integrating large language models and OpenAI technologies into data workflows.
- Proven ability to design scalable data models that serve external-facing product features.
- Willingness to work on-site in New York and thrive within a highly collaborative, eighteen-person team.