The role
- COMP
- $200K - $250K
- EQUITY
- Competitive Equity.
- LOCATION
- New York
- WORKPLACE
- On-site
- EXPERIENCE
- 1+ years
- VISA
- None, Visa transfers
- STACK
- Snowflake, AWS, Airflow
- INDUSTRY
- AI, Marketing, Data
/roles — ROLE_461
Data Engineer
Early-stage marketing AI company whose agents and consumer data platform help major brands reach customers
The company
Early-stage marketing AI company whose agents manage brand data, analytics, campaigns, and measurement on top of a proprietary identity and attribute dataset covering most U.S. consumers.
- STAGE
- Series A-stage
- FUNDING
- $20M+ raised
- TEAM
- ~20 people
- FOUNDED
- 2023
JD — the work
About the role
You would build and scale the data pipelines, storage, and normalization systems that feed the company's AI platform and data products. You will own data modeling and analytics engineering in a Snowflake warehouse, so a history of shipping quick, durable data systems matters. The work ranges from core ingestion to access layers that let AI agents query the data, and it directly supports large enterprise deals.
What you'll do
- Run ingestion, modeling, and transformation for a consumer dataset spanning hundreds of millions of people
- Grow the connections into customers' marketing and sales platforms as the data footprint reaches multiple terabytes
- Partner with data scientists to productionize complex pipelines, scale them, and protect data quality
- Build access layers for AI agents, from APIs that answer plain-language queries to orchestration of structured data
- Join focused strike teams shipping data products tied directly to seven-figure deals
- Work with dbt, Dagster, Snowflake, an S3-based lakehouse, and AWS infrastructure
What they're looking for
- Hands-on data engineering experience (1+ years), including infrastructure that is both fast and dependable
- Strong data modeling and analytics engineering skills in Snowflake
- Experience with orchestration and transformation tools such as Airflow, Dagster, or dbt on AWS
- Willingness to work on-site in New York
Nice to have
- Prior work exposing data to AI agents or LLM-based retrieval