Senior/Staff Data Engineer

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

📋 Description

• Establish technical guidance for core data systems, lead design initiatives, and ensure the delivery of dependable production systems.

• Collaborate with Data team leadership to define the platform roadmap and assess architectural options as well as build-versus-buy decisions.

• Create ingestion services, integrations, and pipelines that provide precise and timely data.

• Set up testing, logging, alerting, and observability throughout the platform.

• Oversee workflow execution, worker infrastructure, upgrades, and operational reliability for the orchestration platform.

• Enhance deployment strategies while balancing considerations of performance, cost, and maintenance demands.

• Optimize the BigQuery environment, focusing on query performance, cost efficiency, permissions tools, and governance.

• Collaborate with Analytics Engineering on warehouse architecture and scalable dbt model foundations.

• Design APIs, event-driven ingestion, and reusable cloud services.

• Utilize infrastructure as code to develop maintainable infrastructure, reusable modules, and predictable deployments.

• Strengthen version control, CI/CD, testing, documentation, and operational practices across the Data Platform.

• Work alongside analytics engineers, analysts, scientists, Engineering, IT, Security, and business teams.

• Prepare datasets ready for modeling, make features accessible to downstream systems, and incorporate AI and LLM workflows into production.

• Guide data engineers through code reviews, pairing sessions, design feedback, and coaching.

⛳️ Requirements

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

• Proven history of establishing direction, driving architectural initiatives, and delivering intricate data systems within a team.

• In-depth knowledge of contemporary cloud data warehouses such as BigQuery, Databricks, or Snowflake, including data modeling, query performance, cost management, and access control.

• Proficiency in Python and SQL.

• Practical experience in constructing dependable ingestion and ELT pipelines and maintainable data models.

• Familiarity with orchestration platforms like Prefect, Airflow, or Dagster, covering deployments, upgrades, worker management, and operational reliability.

• Hands-on experience with cloud infrastructure and infrastructure as code, utilizing Terraform or similar tools.

• Experience in developing 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.

• Proven experience in mentoring engineers through coaching, code reviews, pairing, and design feedback.

• Excellent communication abilities and cross-functional collaboration skills.

• Experience with AI-assisted development tools such as Codex, Cursor, or Claude Code.

• This role is generally not eligible for new visa sponsorship; applicants needing sponsorship must obtain business authorization.

🏝️ Benefits

• Equity offerings.

• 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 and associated support.