Senior/Staff Analytics Engineer

This is a fully remote position, open to applicants in United States, +2 more locations.

📋 Description

• Spearhead the advancement of Render’s Analytics Engineering platform.

• Create, develop, and uphold governed dbt models as the definitive sources for essential business metrics.

• Establish and enhance practices for data modeling, testing, documentation, version control, CI/CD, and code reviews.

• Evaluate significant dbt changes and minimize technical debt within the analytics codebase.

• Design and sustain semantic and context layers to ensure consistent metrics, data exploration, and dependable analysis for both humans and AI tools.

• Collaborate with analysts, scientists, data engineers, and various teams across Product, Engineering, Growth, Go-to-Market, Finance, and other business areas.

• Convert domain-specific business logic into scalable and maintainable warehouse models.

• Work alongside Data Engineering to enhance source data quality, warehouse architecture, BigQuery performance, and cost efficiency.

• Guide analysts, scientists, and analytics engineers in dbt development, dimensional modeling, and engineering best practices.

• Establish the technical direction and shared standards for Analytics Engineering at Render.

⛳️ Requirements

• Over 7 years of experience in Analytics Engineering, Data Engineering, or a related technical domain.

• A minimum of 3 years of practical experience operating dbt in a production environment.

• Proficient SQL skills at an expert level.

• Proven history of designing and managing scalable Kimball dimensional models.

• In-depth knowledge of Git, testing, CI/CD, documentation, data contracts, lineage, and governance.

• Experience in constructing semantic and context layers, trusted metrics, and warehouse architectures for self-service analytics accessible to both humans and AI agents.

• Strong comprehension of contemporary cloud data warehouse architecture, performance enhancement, and cost efficiency.

• Familiarity with BigQuery, Databricks, or Snowflake.

• Demonstrable experience in setting technical standards, influencing engineering practices without formal authority, and enhancing reliability while minimizing technical debt.

• Capability to collaborate with analysts, scientists, and business stakeholders to convert requirements into scalable, maintainable data models.

• Exceptional communication skills, capable of explicating complex technical concepts and trade-offs to both technical and non-technical audiences.

• Experience in developing data models that connect product usage, acquisition, CRM, and financial data throughout the customer lifecycle.

• Familiarity with AI-assisted coding or analytics tools such as Codex, Cursor, or Claude Code.

• Applicants needing visa sponsorship must obtain business authorization; this position is generally not eligible for new visa sponsorship.

• Preferred qualifications: experience with BigQuery, Segment, dbt, Metabase, or Mixpanel; involvement with developer-focused, product-led, sales-led, or usage-based businesses; knowledge of cloud infrastructure, PaaS, developer tooling, or technically complex products.

🏝️ Benefits

• 4 weeks of paid vacation.

• 14 weeks of fully paid parental leave for all parents.

• Long-term disability insurance.

• Life insurance.

• 401K plans.

• 100% employer-paid medical coverage.

• 99% employer-paid dental and vision coverage for you and a dependent.

• FSAs and HSAs.

• 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.

• Home office stipends for remote Renders.

• Continuous learning benefits and related support.

• Equity offered.