# Senior Analytics Engineer at Chainguard

- Company: Chainguard
- What the company does: Chainguard provides trusted open source artifacts for every layer of your modern software stack—containers, language libraries, and VM images. Backed by General Catalyst, Kleiner Perkins and Lightspeed.
- Company website: https://www.chainguard.dev/
- Type: Startups
- Level: Senior
- Location: United States - Remote
- Work setup: Remote
- Posted: 2026-09-11
- Apply by: 2026-10-26
- Apply: https://job-boards.greenhouse.io/chainguard/jobs/4711370006
- Page: https://www.1752.vc/careers/jobs/chainguard-senior-analytics-engineer/

## About the role

We are looking for a Senior Analytics Engineer to join our Analytics team and help build the data foundation that powers decisions across the company. This is a high-impact senior individual-contributor role for someone who can own and evolve data infrastructure, analytical models, and self-service data products while partnering closely with stakeholders across Finance, Go-to-Market, Product, Engineering, Customer Success, and other business functions.

## What they're looking for

- 5+ years of experience in analytics engineering, data engineering, business intelligence engineering, or a closely related field, equivalent depth of experience will also be considered
- Demonstrated success leading complex, cross-functional data initiatives from ambiguous problem definition through delivery, adoption, and measurable business impact
- Advanced SQL skills and deep experience designing, building, and operating analytical data models and pipelines
- Strong hands-on experience with dbt and modern analytics-engineering practices, including testing, version control, documentation, orchestration, observability, and data quality management
- Experience working with modern ELT and activation tools such as Fivetran and Hightouch, or comparable technologies
- Experience with cloud data platforms and warehouses. Experience with Google Cloud Platform and BigQuery is strongly preferred

Tags: IT & Biz Ops