2 months ago
Base Salary
$155k - $200k/yr
Responsibilities
- Own Hazel’s data platform end to end, including ingestion, transformation, orchestration, and reliability.
- Optimize ingestion pipelines for low-latency data availability and consistent performance during seasonal demand surges.
- Build a clean, predictable data transformation layer for Hazel’s intelligence systems.
- Automate data integrations and transformations, including developing AI agents that write, build, and test integrations.
- Ship new source integrations end to end and maintain data platform reliability as the company scales.
- Document data systems and workflows effectively.
Requirements
- 4+ years of experience building production data infrastructure and owning a warehouse relied upon by others.
- Deep understanding of dbt, SQL, data grain, incrementality, and data modeling.
- Strong Python programming experience for building ingestion infrastructure.
- Production experience owning an orchestrator such as Dagster, Airflow, Temporal, or Prefect.
- Practical experience using coding agents and understanding where they improve or worsen engineering work.
- Strong technical documentation skills.
- Comfort working as the sole owner of the data function while helping build out the future team.
- Nice to have experience with open table formats, e-commerce or direct-to-consumer data, Shopify, Klaviyo, Amazon SP-API, advertising platforms, or multi-tenant warehouse design.
Benefits
- $155–200K base salary and 0.15–0.25% equity.
- Top-tier health, dental, and vision coverage.
- 401(k).
- Unlimited PTO.
- Hybrid work arrangement in NYC.
- Hiring process includes a 15-minute introduction, founder call, systems design and case study, and onsite.
About Hazel
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.