Senior / Staff Data Engineer

About the role

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.

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.