Senior / Staff Data Engineer

Nourish

$130K — $160K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in building modern data platforms or infrastructure
  • Proficient in SQL with experience in Snowflake and dbt
  • Experience owning production data pipelines and cloud data warehouses
  • Ability to enhance platform reliability, performance, and cost through architecture and automation
  • Committed to building trusted and well-governed data systems
  • Interest in AI's role in data platform evolution
  • Strong communicator of technical tradeoffs to engineers and business teams

Responsibilities

  • Own and enhance data ingestion and orchestration across the data stack
  • Build a scalable and reliable Snowflake platform with cost efficiency
  • Collaborate on dbt architecture, testing, CI/CD, and data modeling best practices
  • Increase observability, monitoring, and overall platform reliability
  • Establish governance, a semantic layer, and self-service capabilities for analytics and AI
  • Create production-ready infrastructure for AI and machine learning initiatives
  • Automate and develop tooling to address recurring operational challenges

Benefits

  • Open to exceptional remote candidates
  • Full-time position with hybrid work (2-3 days/week in office)
  • Located in Gramercy, NYC
  • Opportunity to have a significant impact as the first dedicated data engineering hire
  • Collaboration with cross-functional teams to improve data platform accessibility and usability
Full Job Description
About the Role

We are hiring a Senior or Staff Data Engineer to become the first dedicated data engineering hire on Nourish's Data team. This is a high-impact platform role where you'll build the foundation that makes our data faster, more reliable, easier to trust, and more cost efficient as we scale.

Our stack includes RudderStack and Fivetran for ingestion, Snowflake as our warehouse, dbt for transformations, and Omni and Metabase for BI. As AI becomes a core way our teams interact with data, you'll also help build the infrastructure, governance, and semantic layer that enable both humans and AI agents to safely and efficiently access trusted data.

You'll partner cross functionally to improve the entire data platform - from ingestion and modeling to observability, governance, and production data workflows.

This is a full-time role and open to NYC-based candidates (2-3 days/week in office), with exceptional remote candidates considered. Our office is located in Gramercy.
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.
We'd love to hear from you if:
  • You have 5+ years of experience building modern data platforms or infrastructure.
  • You've owned production data pipelines and cloud data warehouses.
  • You're highly proficient in SQL and have experience with Snowflake and dbt (or similar technologies).
  • You've improved platform reliability, performance, and cost through thoughtful architecture and automation.
  • You care about building trusted, well-governed data systems that enable self-service analytics.
  • You're excited about the role AI will play in the modern data platform.
  • You communicate technical tradeoffs clearly and enjoy enabling other engineers and business teams.
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