Founding Data Engineer: Own End-to-End Data Pipelines

Socket.dev; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Imagine AI is looking for a data product engineer to own the data pipeline end-to-end, from scraping and ingestion through storage, cleaning and dashboards in the product. You will build metrics, monitor content performance, and synthesize data into insights used by customers.

You will join as one of the first hires, participate in customer calls, and translate feedback into product updates. You will work on the stack including SQL, TypeScript, Python, and Next.js, shaping how data drives

Qualifications

• 2–5 years of experience in data/engineering or a similar role.
• Built and operated production data flows end to end at any scale.
• Shipped customer-facing dashboards or analytics inside a product.
• Proficient in SQL and TypeScript or Python; able to ship in Next.js.
• Applied simple models in production (classification, scoring, clustering) and know when not to use ML.

Responsibilities

• Own the data pipeline end to end from scraping/ingestion to dashboards.
• Build metrics, monitor content performance, and derive insights for customers.
• Engage with customers on calls and translate feedback into product insights.
• Collaborate closely with frontend and product to ship features on the data tier.

Skills

Data pipeline ownership

End-to-end data flows

Customer-facing dashboards

SQL

TypeScript

Python

Next.js

ML basics

Job description

Imagine AI is looking for a data product engineer to own the data pipeline end-to-end, from scraping and ingestion through storage, cleaning and dashboards in the product. You will build metrics, monitor content performance, and synthesize data into insights used by customers.

You will join as one of the first hires, participate in customer calls, and translate feedback into product updates. You will work on the stack including SQL, TypeScript, Python, and Next.js, shaping how data drives