Data Engineer

Data EngineerLocation: New York, NY Employment Type: Full-time Focus: Data Engineering, Snowflake, Data Modeling, AI Data Infrastructure, Marketing TechnologyOur client is building an AI-powered platform for marketing leaders. Their technology helps marketing teams focus on brand storytelling while AI agents handle the operationally intensive work behind the scenes, including data management, analytics, campaign generation, measurement, and reporting. The platform is built on a proprietary consumer graph covering more than 270M U.S. consumers and thousands of through-time attributes. On top of that data foundation, our client has built agentic systems that help brands unify first-party data, standardize messy datasets, train targeting models, improve campaign performance, and give marketing teams meaningful time back. The company works with leading consumer brands across sports, financial services, hospitality, real estate, estate planning, and other major categories. They have raised $20M from top-tier investors and are building a deeply technical team with experience across data, AI, marketing, finance, research, and consumer 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 DoOwn ingestion, data modeling, and transformation for a large-scale consumer data productBuild and improve features, attributes, and pipelines across hundreds of millions of individualsScale first-party data integrations with sales, marketing, and customer systems of recordSupport and improve a growing multi-terabyte data footprintPartner with data scientists to productionize complex data pipelines and modeling workflowsImprove data quality, reliability, standardization, and scalability across the platformBuild data infrastructure that supports AI-powered products and agentic workflowsEnable AI and agentic access layers, including natural language retrieval APIs and structured data orchestrationWork on data products that directly support major enterprise customer opportunitiesBuild with modern data infrastructure including Snowflake, lakehouse architecture on S3, Dagster, dbt, and AWSWhat We're Looking ForStrong experience in data engineering, analytics engineering, or data infrastructureExperience owning data modeling and transformations in Snowflake or a similar cloud data warehouseStrong SQL skills and comfort working with large, complex datasetsExperience building resilient ingestion pipelines and transformation workflowsExperience with tools such as dbt, Dagster, Airflow, or similar orchestration platformsFamiliarity with AWS data infrastructure, S3-based lakehouse patterns, or similar cloud environmentsStrong understanding of data quality, standardization, schema design, and pipeline reliabilityAbility to partner closely with data scientists and product teamsComfort working in a fast-moving startup environment with high ownershipInterest in building data systems that power AI products, marketing intelligence, and agentic workflowsBonus ExperienceExperience with consumer data, identity graphs, marketing data, or customer data platformsExperience integrating with sales and marketing systems of recordExperience building data products for enterprise customersExperience enabling AI, LLM, or agentic access layers on top of structured dataExperience with natural language data retrieval, semantic layers, or structured data orchestrationExperience working with multi-terabyte datasets or large-scale people data productsWhy This OpportunityBuild the data infrastructure behind an AI-native marketing intelligence platformWork on a large-scale proprietary consumer graph covering hundreds of millions of U.S. consumersPartner with strong technical teams across data science, AI, product, and engineeringHelp scale first-party data integrations for leading consumer brandsBuild data systems that directly unlock major enterprise customer opportunitiesWork with modern data tools across Snowflake, dbt, Dagster, S3, and AWSJoin a venture-backed company with $20M raised and strong commercial momentum