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Render

Senior/Staff Data Engineer

Render

. Set technical direction for core data systems, lead design decisions, and deliver reliable production systems .

Posted 9/18/2026full-timeRemote • California • United States, CanadaSenior💰 $195,000 - $273,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in building and optimizing cloud data systems, with a strong focus on BigQuery, data ingestion, and orchestration platforms. Proven ability to mentor teams and implement best practices in production engineering and cross-functional collaboration.

Highest-signal resume keywords
BigQuery ExpertisePython ProgrammingSQL ProficiencyData Pipeline DevelopmentOrchestration Platform Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringAnalytics EngineeringCloud Data WarehousingData ModelingELT Pipeline DevelopmentInfrastructure as CodeAPIs DevelopmentEvent-Driven WorkflowsCI/CD PracticesTesting and Observability
Soft Skills
Excellent CommunicationCross-Functional CollaborationMentoring and Coaching
Tools & Technologies
BigQueryDatabricksSnowflakeTerraformPrefectAirflowDagsterAI-Assisted Development Tools
Industry Keywords
Data Systems ArchitectureOperational ReliabilityCost ManagementGovernanceCloud Applications

Tech Stack

Tools & technologies
AirflowBigQueryCloudPythonSQLTerraform

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • 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