Data Engineer

NxT Level•New York, NY

3d•Onsite

About The Position

Our 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.

Requirements

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

Nice To Haves

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

Responsibilities

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