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Senior/Staff Analytics Engineer

Render· Finance & Operations Organization
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SF or Remote (US/Canada)$195k - $268kFull-timePosted 4w ago

About the role

Senior/Staff Analytics Engineer to lead the evolution of Render's Analytics Engineering platform, building trusted, reusable data models and enabling self-service and AI-assisted analytics across multiple business domains.

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.

Qualifications

  • 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 to accelerate data modeling, testing, documentation, or exploration.

Skills

Required:SQLdbtData Modeling (Kimball dimensional modelling)Data WarehousingSemantic/Context Layer DesignCommunication
Nice to have:Leadership/Mentoring

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. Plan for 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 available.
  • Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
  • Monthly cell phone and internet subsidy.
  • Commuter benefits for Bay Area Renders, and home office stipends for remote Renders.
  • Continuous learning benefits & related support.
Last updated Oct 21, 2026. Interested? Apply on the company site.
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