Data Engineer
Data · Posted 2 months ago
We are looking for an experienced Data Engineer to design, operate, and scale the pipelines, storage layers, and standardization systems that power our data product and AI platform. You should be comfortable owning analytics engineering and data modeling within a Snowflake-powered warehouse and have a track record of b...
- Way of working
- On site
- Location
- New York, NY
- Pay range
- $200,000 to $250,000
- Level
- Junior
- Experience
- 1+ years
- Type
- Full time
- Visa sponsorship
- Not offered for this role
- The company
- under 20 people
Skills that matter here
What you would be doing
- Own ingestion, data modeling and transformation on a people data product consisting of ~260m individuals, building and improving features, attributes, and pipelines.
- Scale first-party integrations with sales and marketing systems of record, supporting a growing multi-terabyte data footprint.
- Partner with talented Data Scientists to solve challenging data problems: productionizing complicated pipelines, scaling, preserving data quality.
- Enable AI and agentic access layers, from natural language retrieval APIs to structured data orchestration.
- Have the opportunity to work on tactical teams building out data products that directly unlock 7 figure contracts.
- Work with data warehouses (Snowflake, Lakehouse on S3), data pipelines and orchestration tools (Dagster, dbt), and AWS infrastructure.
The full description
We are looking for an experienced Data Engineer to design, operate, and scale the pipelines, storage layers, and standardization systems that power our data product and AI platform. You should be comfortable owning analytics engineering and data modeling within a Snowflake-powered warehouse and have a track record of building fast, resilient data infrastructure. Bonus points if you have experience enabling AI and agentic access layers.
What you'll do:
- Own ingestion, data modeling and transformation on a people data product consisting of ~260m individuals, building and improving features, attributes, and pipelines.
- Scale first-party integrations with sales and marketing systems of record, supporting a growing multi-terabyte data footprint.
- Partner with talented Data Scientists to solve challenging data problems: productionizing complicated pipelines, scaling, preserving data quality.
- Enable AI and agentic access layers, from natural language retrieval APIs to structured data orchestration.
- Have the opportunity to work on tactical teams building out data products that directly unlock 7 figure contracts.
- Work with data warehouses (Snowflake, Lakehouse on S3), data pipelines and orchestration tools (Dagster, dbt), and AWS infrastructure.
Interested in this one?
There is no apply button here on purpose. Tell us about yourself, we book a short call, and if this role fits we walk you through the company and ask before anything is sent. Always free for you.
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