Turo is the world's largest car sharing marketplace where you can book any car you want, wherever you want it, from a vibrant community of trusted hosts across the US, Canada, France and the UK. Whether you're flying in from afar or looking for a car down the street, searching for a rugged truck or something smooth and swanky, guests can take the wheel of the perfect car for any occasion, while hosts can take the wheel of their futures by building an accessible, flexible, and scalable car sharing business from the ground up.

Data is our fuel at Turo. It is ever-more abundant and valuable, but it's raw material. Harnessed by data scientists and machine learning engineers, it propels Turo on its mission to put the world’s 1.5+ billion cars to better use, delighting our customers with matching the right car for their next adventure from an exceptionally diverse selection, and at the same time helping our marketplace remain safe.

About You:

In this role, you’ll be given the chance to work with cutting-edge technologies to build resilient, scalable systems for collecting and analyzing extensive data sets. Your responsibilities will include creating and managing data pipelines, data structures, and reports.  If you're detail-oriented, enjoy troubleshooting and delving into data-related problems, this role is a great fit for you.

Additionally, you are enthusiastic about gaining in-depth knowledge of the revenue accounting and finance domain. This entails collaborating closely with the revenue accounting team to thoroughly explore the intricacies of revenue, billing, and payment processes, including the functionalities of existing tools and the current workflows.

Strong communication skills and attention to detail are critical to be successful in this role.

Learn more about our Engineering team here: https://www.beforeyouapply.com/team/engineering-at-turo

 What You'll Do:

• Identify stakeholders’ data needs, define the project scope, and select the right implementation to address stakeholder pain points.
• Bridge the gap between the domain requirements and technology during the tool selection process. Your role involves ensuring that the chosen technology aligns with those requirements and the overall domain strategy.
• Maintaining constant communication with stakeholders regarding project progress, blockers, and expected timelines is crucial.
• Establish trust with stakeholders by consistently delivering high-quality data sets in a timely manner.
• Collaborate with stakeholders to continuously automate and improve existing workflows and/or processes. 
• Align with stakeholders regarding their strategic goals and roadmap items on a semi-annual basis.

• Follow and contribute to best coding practices established by the team.
• Develop, deploy and maintain workflow management tools such as Airflow, Jenkins etc in cloud environments.
• Using cloud technology such as AWS, Kubernetes, Docker, Redshift, EMR.

 Your Profile:

• Strong communication skills.
• Strong track record of delivering data focused projects on time and of high quality.
• Past experience building ETL processes.
• Past experience working with the specific domain is a plus.
• Strong software engineer who views their code as a craft.
• Strong experience in Python development.
• Experience with a workflow manager — Airflow, Luigi, Jenkins, etc.
• Experience working with data tools in the public cloud (AWS, GCP, Azure)
• 5+ years of relevant experience.

The San Francisco base salary target range for this full-time position is $149,000-$167,000 + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position in this location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your work location during the hiring process.

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