Remote Position
[Remote] Senior/Staff Analytics Engineer
🌍 Remote · Senegal
💼 Full-time
Note: The job is a remote job and is open to candidates in USA. Render is building a modern cloud platform for developers creating AI-native, full-stack, multi-service applications. The Staff Analytics Engineer will lead the evolution of Render’s Analytics Engineering platform by building trusted data models, establishing engineering standards, enabling self-service and AI-assisted analytics, and improving data reliability and efficiency.
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
- Establish engineering standards. Define and improve practices for data modeling, testing, documentation, version control, CI/CD, and code review. Review high-impact dbt changes and reduce technical debt across the analytics codebase
- 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
- Raise the bar for Analytics Engineering. Mentor analysts, scientists, and analytics engineers on dbt development, dimensional modeling, and engineering best practices, and help teams adopt shared standards
Skills
- 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
- 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
- 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
- Proven ability to partner closely with analysts, scientists, and business stakeholders to translate requirements into scalable, maintainable data models
- Excellent communication skills. You can explain complex technical concepts and tradeoffs to technical and non-technical audiences and build alignment across teams
- Experience building data models that connect product usage, acquisition, CRM, and financial data across the customer lifecycle
- Experience using AI-assisted coding or analytics tools such as Codex, Cursor, or Claude Code to accelerate data modeling, testing, documentation, or exploration
- This position is generally not eligible for new visasponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization
- 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
- Offers Equity
- 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. We will also work with you to create a supportive plan of return.
- 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. FSAs and HSAs are available as well.
- Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
- Monthly cell phone and internet subsidy.
- Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.
- Continuous learning benefits & related support.
Company Overview
Company H1B Sponsorship