Senior Data Engineer building Dandy’s data infrastructure for its technology - powered dental operating system. Developing pipelines, governed data products, and AI - ready platform capabilities.
About the role
- Staff Data Engineer shaping Render’s cloud data platform for AI-native applications. Building reliable pipelines, BigQuery infrastructure, orchestration, and production AI workflows.
Responsibilities
- Set technical direction for core data systems, lead design decisions, and deliver reliable production systems
- Partner with Data team leadership to shape the platform roadmap and evaluate architectural and build-versus-buy tradeoffs
- Develop ingestion services, integrations, and pipelines that deliver accurate, timely data
- Implement testing, logging, alerting, and observability across the platform
- Own workflow execution, worker infrastructure, upgrades, and operational reliability for the orchestration platform
- Improve deployment patterns while balancing performance, cost, and maintenance needs
- Improve the BigQuery environment, including query performance, cost efficiency, permissions tooling, and governance
- Partner with Analytics Engineering on warehouse architecture and scalable dbt model foundations
- Develop APIs, event-driven ingestion, and reusable cloud services
- Use infrastructure as code to create maintainable infrastructure, reusable modules, and predictable deployments
- Improve version control, CI/CD, testing, documentation, and operational practices across the Data Platform
- Collaborate with analytics engineers, analysts, scientists, Engineering, IT, Security, and business teams
- Prepare model-ready datasets, make features available to downstream systems, and integrate AI and LLM workflows into production
- Mentor data engineers through code review, pairing, design feedback, and coaching
Requirements
- 7+ years of experience in Analytics Engineering, Data Engineering, or a related technical field
- Track record of setting direction, driving architecture, and delivering complex data systems across a team
- Deep expertise in modern cloud data warehouses such as BigQuery, Databricks, or Snowflake, including data modeling, query performance, cost management, and access control
- Strong Python and SQL skills
- Hands-on experience building reliable ingestion and ELT pipelines and maintainable data models
- Experience operating orchestration platforms such as Prefect, Airflow, or Dagster, including deployments, upgrades, workers, and operational reliability
- Hands-on experience with cloud infrastructure and infrastructure as code, using Terraform or equivalent tools
- Experience building cloud applications or backend services, including APIs, ingestion services, and event-driven workflows
- Strong production engineering practices, including testing, logging, alerting, observability, version control, and CI/CD
- Track record of mentoring engineers through coaching, code review, pairing, and design feedback
- Excellent communication and cross-functional collaboration skills
- Experience using AI-assisted development tools such as Codex, Cursor, or Claude Code
- This position is generally not eligible for new visa sponsorship; applicants requiring sponsorship must receive business authorization
Benefits
- Offers equity
- 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 for you and a dependent
- 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 Renders in the Bay Area
- Home office stipends for remote Renders
- Continuous learning benefits & related support
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