# Analytics Engineer at Chalk

- Company: Chalk
- What the company does: Chalk is the AI data platform that delivers real-time context and compute infrastructure for agents and ML models — deployed in your cloud, built for speed. Backed by General Catalyst and Felicis.
- Company website: https://chalk.ai/
- Type: Startups (AI role)
- Level: Mid level
- Location: SF
- Work setup: On-site
- Pay: $170K to $210K base salary per year (USD)
- Posted: 2026-09-23
- Apply by: 2026-11-07
- Apply: https://jobs.ashbyhq.com/chalk/199bdc4b-cea1-49e7-9640-2a2641482b2e
- Page: https://www.1752.vc/careers/jobs/chalk-analytics-engineer/

## About the role

We're hiring an Analytics Engineer to own the data layer that powers decision-making across Chalk. When a customer signs up, a lot happens behind the scenes: they get set up in our systems, we start recording their usage, and the right rates and terms get attached. That data flows all the way through to the metrics that leadership, Finance, and GTM use to run the business. You'll own the pipelines, data models, and analytics that make every step of that path trustworthy.

## What they're looking for

- 4+ years of experience in analytics engineering, data engineering, or a similar hybrid data role
- Experience building data models for billing, usage metering, or financial reporting - you understand why correctness, idempotency, and auditability matter when the output is an invoice
- Strong Python skills - you're comfortable writing and maintaining production pipeline code, not just notebooks
- Expert-level SQL and deep, hands-on experience with a cloud data warehouse (we use BigQuery)
- Fluency with modern analytics tooling - dbt or similar transformation frameworks, and BI/notebook tools
- Strong data intuition: you catch the anomaly in the chart before anyone else does, and you don't ship a number you can't explain

Tags: Operations