Hazel

Senior Data Platform Engineer

Hazel
Apply
2 months ago

Base Salary

$155k - $200k/yr

Responsibilities

  • Own the data platform end to end, including ingestion, transformation, orchestration, and reliability.
  • Optimize ingestion pipelines for low-latency availability and consistent performance during peak seasonal surges.
  • Build the data transformation layer and automate data integrations and transformations.
  • Develop AI agents that write, build, and test new integrations end to end.
  • Ship new source integrations and maintain platform reliability as Hazel scales.

Requirements

  • 4+ years of experience building production data infrastructure and owning a data warehouse used by others.
  • Deep understanding of dbt, SQL, data grain, incrementality, and data modeling.
  • Strong Python skills for building the ingestion layer.
  • Production experience owning an orchestrator such as Dagster, Airflow, Temporal, or Prefect.
  • Practical experience using coding agents and evaluating where they help or create problems.
  • Strong technical documentation skills and comfort being the initial owner of the function.
  • Nice-to-have experience with open table formats, e-commerce or DTC data, Shopify, Klaviyo, Amazon SP-API, advertising platforms, and multi-tenant warehouse design.

Benefits

  • $155–200K base salary.
  • 0.15–0.25% equity.
  • Top-tier health, dental, and vision coverage.
  • 401(k).
  • Unlimited PTO.
  • Hybrid work in NYC.

Tech Stack

Apache AirflowdbtPythonSQL

Categories

Data Engineering
Hazel

About Hazel

1-10 employees

Hazel builds an AI coworker for consumer brands that connects to live ecommerce and marketing systems like Shopify, Klaviyo, Amazon, and Meta. It answers operators’ questions with cited data, proactively flags issues, and can take actions directly in connected platforms. The company is privately held and headquartered in New York, NY.

Contact me