Staff 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. 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.

Your profile:• 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

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

• 7+ years of relevant experience

For this role, the target base salary range in San Francisco is $182,000-$228,000 annually. This role is also eligible for equity and benefits. In general, our ranges reflect the market-based target for new hire salaries based on the level and location of the role. Within the range, individual pay is determined by objective factors assessed during the application and interview process, such as job-related skills, experience, and relevant education or training. We encourage you to talk with your recruiter to learn more about the total compensation and benefits available for this role.

Turo highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Turists will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Turo considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Turo offers.

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Turo AI Policy: Turo may use AI-enabled tools to support our recruiting operations, including gathering information from candidates, drafting communications, helping with interview note-taking and assessment, and so on. These tools only supplement our team; all decisions to advance or hire candidates are made by Turo employees. While we welcome candidates to use AI-enabled tools to help prepare for their interviews, the use of such tools, including any AI chatbots or note-takers, is not permitted during live interviews or technical assessmen