Render
Senior/Staff Analytics Engineer
SF or Remote (US/Canada) · Staff+
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About the role
- You'll help teams move faster with consistent metrics and maintainable models they can trust.
Responsibilities
- Own our Analytics Engineering architecture. Guide the long-term evolution of Render's Analytics Engineering platform, strengthening foundational models so our data remains trusted, scalable, and ready for AI-assisted analytics.
- Build trusted, reusable data models. Design, build, and maintain governed dbt models that serve as authoritative sources for business-critical metrics across Product, Engineering, Growth, Go-to-Market, Finance, and other teams.
- Enable self-service and AI-assisted analytics. Design and maintain semantic and context layers that make metrics consistent, data discoverable, and analysis reliable for both people and AI tools.
- Partner closely with analysts and scientists. Help analysts and scientists translate domain-specific business logic into scalable, maintainable warehouse models, moving shared logic out of individual reports and dashboards and into governed datasets.
- Improve reliability and efficiency. Partner with Data Engineering to strengthen source data quality, warehouse architecture, and BigQuery performance and cost efficiency.
- Experience building semantic and context layers, trusted metrics, and warehouse architectures that support self-service analytics for humans and AI agents across multiple business domains.
- Own our Analytics Engineering architecture.
- We will also work with you to create a supportive plan of return.
Requirements
- 7+ years of experience in Analytics Engineering, Data Engineering, or a related technical field, including at least 3 years of hands-on experience running dbt in production.
- Expert-level SQL skills and a track record of designing and owning scalable Kimball dimensional models.
- Deep expertise in modern Analytics Engineering practices, including Git, testing, CI/CD, documentation, data contracts, lineage, and governance.
- Strong understanding of modern cloud data warehouse architecture, performance optimization, and cost efficiency, with experience in platforms such as BigQuery, Databricks, or Snowflake.
- A track record of establishing technical standards, influencing engineering practices without formal authority, and improving reliability while reducing technical debt.
- Experience using AI-assisted coding or analytics tools such as Codex, Cursor, or Claude Code to accelerate data modeling, testing, documentation, or exploration.
- Hands-on experience with Render's analytics stack, including BigQuery, Segment, dbt, and analytics tools such as Metabase or Mixpanel.
- Experience with developer-focused, product-led, sales-led, or usage-based businesses.
- Knowledge of cloud infrastructure, PaaS, developer tooling, or other technically complex products.
Benefits
- 4 weeks of paid vacation.
- 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child.
- Long-term disability, life insurance, and 401K plans.
- 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent.
- Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
- Continuous learning benefits & related support.
- Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.
Company info
- Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms-so teams can ship fast, scale reliably, and focus on their product, not infrastructure.
- Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively.
- We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.
Equal opportunity
- Please contact us to request accommodation.
Visa & Work Authorization
- This position is generally not eligible for new visa sponsorship.
This listing is sourced directly from Render's careers page and normalized into a canonical job model.