Senior Data Platform Engineer: AI-Driven, Low Latency

Hazel; New York (NY); Hybrid; USD 155,000 - 200,000; Full time

Benefits offered by this job

Top-tier health, dental, vision

401(k)

Unlimited PTO

Equity (0.3–0.5%)

Hybrid in NYC

Job summary

Hazel is hiring a Data Platform Engineer to own ingestion, transformation, orchestration, and reliability across the data stack. You will also advance our AI agents to write, build, and test new integrations end-to-end, with automation at the core of scaling your work.

You’ll ship new source integrations and improve data quality for a fast-growing consumer-brands platform. We seek 4+ years of production data infra experience, deep dbt/SQL knowledge, strong Python, and experience with

Qualifications

• 4+ years building production data infrastructure.
• Deep understanding of dbt and SQL; strong opinions on grain, incrementality, and data modeling.
• Strong Python; ingestion layer is code you’ll write.
• Owned an orchestrator in production (Dagster, Airflow, Temporal, Prefect, etc).
• AI-native in practice; you use coding agents to do the work of a larger team.

Responsibilities

• Own data platform end-to-end: ingestion, transformation, orchestration, and reliability.
• Develop AI agents to write, build, and test new integrations end-to-end.
• Automate your job, especially data integrations and transformations.
• Ship new source integrations end-to-end.

Skills

SQL

Python

Data modeling

API design

Tools

dbt

Dagster

Airflow

Temporal

DuckDB

Job description

Hazel is hiring a Data Platform Engineer to own ingestion, transformation, orchestration, and reliability across the data stack. You will also advance our AI agents to write, build, and test new integrations end-to-end, with automation at the core of scaling your work.

You’ll ship new source integrations and improve data quality for a fast-growing consumer-brands platform. We seek 4+ years of production data infra experience, deep dbt/SQL knowledge, strong Python, and experience with