2 months ago
New York, NY, USAMid Level
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 data availability and consistent performance during seasonal surges.
- Build a clean and predictable data transformation layer.
- Automate data integrations and transformations, including developing AI agents that write, build, and test integrations end to end.
- Ship new source integrations end to end.
- Own data platform reliability as the platform scales.
- Document systems and work clearly.
Requirements
- 4+ years building production data infrastructure and owning a warehouse relied upon by others.
- Deep understanding of dbt and SQL, including 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 hurt engineering work.
- Strong technical documentation skills.
- Comfort working initially as the sole owner of the function and helping grow the team.
- Preferred experience with open table formats, e-commerce or DTC data, Shopify, Klaviyo, Amazon SP-API, ad platforms, and multi-tenant warehouse design.
Benefits
- $155–200K base salary.
- 0.15–0.25% equity.
- Top-tier health, dental, and vision benefits.
- 401(k).
- Unlimited PTO.
- Hybrid work in NYC.
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.