Staff Data Engineer, Data Platform

About the position

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.

If you are detail-oriented and enjoy building data platforms while troubleshooting and investigating complex data and system issues, this is the position for you. Strong communication skills and attention to detail are critical to be successful in this role. What you will do: 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.

Responsibilities

• 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.

Requirements

• Solid foundation in software engineering, with a proven track record of developing well-tested, reusable code frameworks and libraries.
• Possesses a clear understanding of AI capabilities and constraints, effectively integrating AI into daily workflows to optimize efficiency, spark creativity, 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 and support robust data protection.
• Able to understand technical details and communicate with other engineers, as well as communicating with less technical members from other teams.
• Enjoys mentoring & teaching other engineers
• 7+ years of relevant experience

Nice-to-haves

• Familiarity with Spark or other big data processing framework is a plus.

Benefits

• 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 to invest in your professional development
• Turo host matching program
• Turo travel credit
• Cell phone and internet stipend
• Paid time off to relax and recharge
• Paid holidays, volunteer time off, and parental leave
• For those who are in the office full-time or hybrid we have in-office lunch, office snacks, and fun activities