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Render is a modern cloud platform for developers building AI-native, full-stack applications. The company has raised $260M in funding (Series C in February 2026) and serves over 7 million developers worldwide.
You'll join the Data team as a Staff Data Engineer, setting technical direction for systems powering analytics, data science, and operational decision-making across the company. This is a hands-on technical leadership role where you'll shape architecture, mentor engineers, and establish engineering standards.
Key responsibilities:
- Own the Data Platform Engineering architecture, setting technical direction for core data systems and leading design decisions
- Build and operate trusted data pipelines with strong testing, logging, alerting, and observability
- Evolve the orchestration platform, managing workflow execution, worker infrastructure, and operational reliability
- Improve BigQuery environment performance, cost efficiency, permissions, and governance
- Build cloud services and infrastructure using infrastructure-as-code (Terraform)
- Establish engineering standards for version control, CI/CD, testing, documentation, and operational practices
- Partner across analytics, data science, engineering, and business teams to clarify requirements and communicate tradeoffs
- Support data science and AI workflows, preparing model-ready datasets and integrating LLM workflows into production
- Mentor data engineers through code review, pairing, design feedback, and coaching
You'll work across the modern data stack, software and platform engineering, and emerging AI workflows. The role requires close collaboration with analytics engineers, analysts, data scientists, engineering teams, and business stakeholders.
REQUIREMENTS:
- Demonstrated technical leadership as a tech lead or Staff-level engineer with a track record of setting direction, driving architecture, and delivering complex data systems
- Deep expertise in modern cloud data warehouses (BigQuery, Databricks, or Snowflake), including data modeling, query performance, cost management, and access control
- Strong Python and SQL skills with hands-on experience building reliable ingestion and ELT pipelines and maintainable data models
- Experience operating orchestration platforms (Prefect, Airflow, or Dagster), including deployments, upgrades, workers, and operational reliability
- Hands-on experience with cloud infrastructure and infrastructure-as-code (Terraform or equivalent)
- Experience building cloud applications or backend services, including APIs, ingestion services, and event-driven workflows
- Strong production engineering practices: testing, logging, alerting, observability, version control, 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 (Codex, Cursor, Claude Code)
NICE-TO-HAVES:
- Hands-on experience with Render's data stack (GCP, BigQuery, Segment, dbt)
- Experience with developer-focused, product-led, or usage-based businesses
- Knowledge of cloud infrastructure, PaaS, developer tooling, or technically complex products
