Data Platform Engineer - End-to-End AI Pipelines

David Joseph & Company; San Francisco (CA); On-site; USD 230,000 - 280,000; Full time

Benefits offered by this job

Equity

Founding role

On-site work

Job summary

David Joseph & Company is recruiting a founding data engineer in San Francisco to own the data layer end-to-end, from external sources to production signals used by AI agents. The role balances data infrastructure with product/backend engineering, with a clear path to lead the data function.

You will partner with customers to define data use cases, build ingestion pipelines, and ensure high data quality for scalable AI workflows, while working on-site five days a week.

Qualifications

• 5–8 years in data engineering with production pipelines
• Built and scaled end‑to‑end data systems
• Based in San Francisco or open to relocating and on-site work

Responsibilities

• Partner with customers to pinpoint high‑value data use cases and decide which external sources to bring onto the platform
• Design, build, and operate end-to-end pipelines that ingest, extract, and synthesize data from new external sources
• Surface data through product interfaces so it is cleanly consumable by AI agents, with a focus on accuracy
• Build and maintain evaluation harnesses that keep data quality and agent reliability high at scale

Skills

Data engineering

Production pipelines

AI/ML agent frameworks

Evaluation harnesses

Education

CS or STEM degree

Tools

Python

SQL

Git

Data pipelines tooling

Job description

David Joseph & Company is recruiting a founding data engineer in San Francisco to own the data layer end-to-end, from external sources to production signals used by AI agents. The role balances data infrastructure with product/backend engineering, with a clear path to lead the data function.

You will partner with customers to define data use cases, build ingestion pipelines, and ensure high data quality for scalable AI workflows, while working on-site five days a week.