# Data Engineering Lead at Hark

- Company: Hark
- What the company does: At Hark, we are building the most advanced personal intelligence in the world.
- Company website: https://hark.com
- Type: Startups
- Level: Senior
- Location: San Jose
- Work setup: On-site
- Pay: $170K to $450K base salary per year (USD)
- Posted: 2026-04-14
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/hark/jobs/4218888009
- Page: https://www.1752.vc/careers/jobs/hark-data-engineering-lead/

## About the role

You'll build the data infrastructure that turns raw signals into the training data Hark's models learn from, and the pipelines that keep it flowing at scale. That means owning the full data engineering stack: ingestion, transformation, quality filtering, and delivery to training and evaluation systems. The models we ship are only as good as the data behind them, and this role owns that foundation.

## What they're looking for

- Strong data engineering fundamentals. You are comfortable designing and operating large-scale batch and streaming pipelines, and you care about correctness and reliability
- Experience building data systems for machine learning. You understand the difference between a data pipeline for analytics and one that feeds model training, and you know what it takes to get the latter right
- Systems thinking. You reason about schema evolution, backfills, and failure modes before they become production incidents. You build for the day-2 case, not just the demo
- A quality instinct. You don't just move data. You understand what's in it, catch problems early, and close the feedback loop with the people who need clean data
- Strong communication. You can work closely with model researchers and engineers, explain data tradeoffs clearly, and make good decisions across team boundaries
- 5+ years of relevant data engineering experience. Experience at a fast-growing AI or research-driven company is a strong plus

Tags: Product Engineering