Data Engineer, Data Platform

About the Team

In this role, you will work with cutting‑edge technologies to build resilient, scalable systems for collecting and analyzing large‑scale data sets. Your primary focus will be on developing the data platform that empowers teams to design, operate, and maintain data pipelines and reports. You will troubleshoot and investigate complex data and system issues while ensuring the platform is highly available and reliable.

• Collaborate daily with team members to refine the data engineering roadmap and drive execution of its initiatives.
• Design and implement a modern, highly scalable, and reliable data platform powering pipelines for Product, Engineering, Data Science, Marketing, Customer Operations, and Finance teams.
• Define canonical data models across key business domains and establish a cohesive vision for unifying all data within the Turo ecosystem.
• Implement, operate, and support workflow orchestration tooling such as Airflow in cloud‑based environments.
• Build, operate, and continually improve data platform tools and infrastructure to boost team productivity and minimize operational overhead.
• Increase overall team effectiveness by mentoring and developing junior engineers.
• Design and enforce robust data security architectures and controls.

• Solid foundation in software engineering with a proven track record of developing well‑tested, reusable code frameworks and libraries.
• Clear understanding of AI capabilities and constraints, effectively integrating AI into daily workflows to optimize efficiency and enhance decision‑making.
• Past experience building ETL frameworks.
• Experience with data pipeline job orchestration tools such as Airflow, Prefect, or Dagster.
• Experience using data platforms and services across major cloud providers such as AWS, GCP, and Azure.
• Proficient with modern infrastructure tooling, including Terraform and Kubernetes.
• Knowledgeable about security standards and frameworks that govern robust data protection.
• Ability to understand technical details and communicate with other engineers, and to explain concepts to less technical members from other teams.
• Enjoys mentoring and teaching other engineers.
• Familiarity with Spark or other big data processing frameworks is a plus.
• 7+ years of relevant experience.

Target base salary range in San Francisco: $182,000–$228,000 annually. The role is eligible for equity and benefits. Within the range, individual pay is determined by objective factors such as job‑related skills, experience, and relevant training. The position is hybrid: in‑office on Mondays, Wednesdays, and Thursdays (3 days per week). Additional perks are available for in‑office employees.

• Competitive salary, equity, benefits, and perks for all full‑time employees
• Employer‑paid medical, dental, and vision insurance (country specific)
• Retirement employer match
• Learning & Development stipend
• Turo host matching program
• Turo travel credit
• Cell phone and internet stipend
• Paid time off, paid holidays, volunteer time off, and parental leave
• In‑office lunch, office snacks, and fun activities for full‑time or hybrid employees

Turo is an Equal Opportunity Employer and a participant in the U.S. Federal E‑Verify program. Women, minorities, individuals with disabilities and protected veterans are encouraged to apply. We welcome people of different backgrounds, experiences, abilities and perspectives. Turo will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance, as applicable. We welcome candidates with physical, mental, or neurological disabilities and encourage applicants to request accommodations during the recruiting process.