Data Engineer

Jack; New York (NY); Híbrido; USD 180.000 - 220.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity up to 1%

Hybrid work in Flatiron NYC

Descripción de la vacante

Jack in New York City is building an operating system for sports sponsorship and is hiring its first full-time data engineer. You will own ingestion, build deduplication and entity resolution, and design a Postgres data model from scratch while leveraging LLMs to extract data from contracts.

This role blends hands-on data engineering with customer-facing clarity, reporting to the CTO in a small, fast-moving startup.

Formación

• 2 to 6 years of data engineering or backend data work.
• Built production data systems from scratch using Python and SQL.
• Hands-on ETL/ELT, migrations, dedup and entity resolution.
• Experiencing with PostgreSQL and cloud warehouses (BigQuery preferred).
• Familiar with AI coding tools like Claude Code or Cursor is a plus.

Responsabilidades

• Own ingestion of messy customer data from spreadsheets, CRMs, contracts and APIs.
• Build entity resolution, deduplication and record matching to canonical model.
• Design the data warehouse and Postgres data model from scratch.
• Use LLMs to extract structured data from sponsorship contracts.
• Automate customer onboarding and explain the data to non-technical clients.

Conocimientos

Python

SQL

ETL/ELT

Entity resolution

Data modeling

PostgreSQL

BigQuery

GCP

AI coding tools

Herramientas

PostgreSQL

BigQuery

GCP

Descripción del empleo

A seed-stage, investor-backed startup in NYC is building the operating system for sports sponsorship, working with pro soccer and minor league baseball clubs and the brands that sponsor them. They are hiring their first full-time engineer, a hands-on Founding Data Engineer who works directly with the CTO.

What you'll do

• Own ingestion of messy customer data from spreadsheets, CRMs, contracts and APIs
• Build entity resolution, deduplication and record matching that turns inconsistent sources into one canonical model
• Design the data warehouse and Postgres data model from scratch
• Use LLMs to extract structured data from sponsorship contracts
• Automate customer onboarding and explain the data to non-technical clients

What we're looking for

• 2 to 6 years as a data engineer, or a backend engineer doing mostly data work
• Built production data systems from scratch in Python and SQL, ideally at a seed to Series A or small company
• Hands-on ETL/ELT, migrations, dedup and entity resolution
• Postgres plus a cloud warehouse (BigQuery preferred), GCP a plus
• Ships with AI coding tools like Claude Code or Cursor (a plus)

Details

• Base salary $180K to $220K plus up to 1% equity
• Hybrid, 3 days a week in the Flatiron, NYC office
• Must be a US citizen or green card holder (no visa sponsorship)