Data EngineerLocation: New York, NY
Employment Type: Full-time
Focus: Data Engineering, Snowflake, Data Modeling, AI Data Infrastructure, Marketing Technology
About the RoleOur client is hiring a
Data Engineer to design, operate, and scale the pipelines, storage layers, and standardization systems that power their data product and AI platform.
This role is ideal for someone who is strong in analytics engineering, data modeling, Snowflake-powered warehouses, and resilient data infrastructure. You'll help build and scale the data foundation behind a massive people data product while partnering closely with data scientists, AI engineers, and product teams.
This is a high-ownership role for someone who can build reliable pipelines, improve data quality, support large-scale first-party integrations, and help enable AI and agentic access layers on top of structured data.
What You'll Do- Own ingestion, data modeling, and transformation for a large-scale consumer data product
- Build and improve features, attributes, and pipelines across hundreds of millions of individuals
- Scale first-party data integrations with sales, marketing, and customer systems of record
- Support and improve a growing multi-terabyte data footprint
- Partner with data scientists to productionize complex data pipelines and modeling workflows
- Improve data quality, reliability, standardization, and scalability across the platform
- Build data infrastructure that supports AI-powered products and agentic workflows
- Enable AI and agentic access layers, including natural language retrieval APIs and structured data orchestration
- Work on data products that directly support major enterprise customer opportunities
- Build with modern data infrastructure including Snowflake, lakehouse architecture on S3, Dagster, dbt, and AWS
What We're Looking For- Strong experience in data engineering, analytics engineering, or data infrastructure
- Experience owning data modeling and transformations in Snowflake or a similar cloud data warehouse
- Strong SQL skills and comfort working with large, complex datasets
- Experience building resilient ingestion pipelines and transformation workflows
- Experience with tools such as dbt, Dagster, Airflow, or similar orchestration platforms
- Familiarity with AWS data infrastructure, S3-based lakehouse patterns, or similar cloud environments
- Strong understanding of data quality, standardization, schema design, and pipeline reliability
- Ability to partner closely with data scientists and product teams
- Comfort working in a fast-moving startup environment with high ownership
- Interest in building data systems that power AI products, marketing intelligence, and agentic workflows
Bonus Experience- Experience with consumer data, identity graphs, marketing data, or customer data platforms
- Experience integrating with sales and marketing systems of record
- Experience building data products for enterprise customers
- Experience enabling AI, LLM, or agentic access layers on top of structured data
- Experience with natural language data retrieval, semantic layers, or structured data orchestration
- Experience working with multi-terabyte datasets or large-scale people data products
Why This Opportunity- Build the data infrastructure behind an AI-native marketing intelligence platform
- Work on a large-scale proprietary consumer graph covering hundreds of millions of U.S. consumers
- Partner with strong technical teams across data science, AI, product, and engineering
- Help scale first-party data integrations for leading consumer brands
- Build data systems that directly unlock major enterprise customer opportunities
- Work with modern data tools across Snowflake, dbt, Dagster, S3, and AWS
- Join a venture-backed company with $20M raised and strong commercial momentum
