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NourishNourishNew York, NY

Senior / Staff Data Engineer

Build and own the modern data platform as the first dedicated data engineering hire, focusing on ingestion, Snowflake/dbT infrastructure, governance, observability, and AI/ML data foundations. Requires 5+ years building production data platforms with strong SQL, Snowflake, and dbt experience.

Salary not listed
Hybrid5+ YOEData Engineering

About the role

Key Responsibilities

  • Own and improve data ingestion and orchestration across our modern data stack.
  • Build a scalable, reliable, and cost-efficient Snowflake platform.
  • Partner on dbt architecture, testing, CI/CD, and data modeling best practices.
  • Improve observability, monitoring, and platform reliability.
  • Build the governance, semantic layer, and self-service capabilities that power trusted analytics and AI.
  • Help establish production-ready infrastructure for AI and machine learning workloads.
  • Turn recurring operational pain points into automation, tooling, and reusable platform capabilities.

Requirements

  • 5+ years of experience building modern data platforms or infrastructure.
  • Owned production data pipelines and cloud data warehouses.
  • Highly proficient in SQL.
  • Experience with Snowflake and dbt (or similar technologies).
  • Improved platform reliability, performance, and cost through thoughtful architecture and automation.
  • Care about building trusted, well-governed data systems that enable self-service analytics.
  • Excited about the role AI will play in the modern data platform.
  • Communicate technical tradeoffs clearly and enjoy enabling other engineers and business teams.

Nice-to-Haves

  • Experience with RudderStack, Fivetran, Omni, or Metabase.
  • Background in building infrastructure, governance, and semantic layers for AI agents and human users.

Skills

SQLSnowflakedbtData PipelinesData WarehousesData GovernanceData ObservabilityRudderstackFivetranMetabaseOmniCI/CDData ModelingAI Infrastructure
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