Turo is the world's largest car sharing marketplace where you can book the perfect car for wherever you're going from a vibrant community of trusted hosts across the US, UK, Canada, Australia, and France. 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, Turo puts you in the driver's seat of an extraordinary selection of cars shared by local hosts.About the team: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.In this role, you'll be given the chance to work with cutting-edge technologies to construct resilient, scalable systems for gathering and analyzing extensive data sets. You'll also be responsible for creating and managing data pipelines, data structures, and reports. If you're a detail-oriented individual who enjoys troubleshooting and delving into data-related problems, this is the role for you.The candidate for this position is anticipated to develop a comprehensive understanding of the finance/claims domain. This will involve working closely with data analysts, as well as finance and accounting teams, to enhance our workflows by building the appropriate data pipeline infrastructureLearn more about our Engineering team here:https://www.beforeyouapply.com/team/engineering-at-turoWhat you will do:On a daily basis, you will work with members of the team to update our data engineering roadmap and execute upon those initiativesWorking closely with data analysts, as well as finance and accounting teams to build new data pipelines to further improve and automate the existing workflow and processes.Develop, deploy and maintain workflow management tools such as Airflow, Jenkins etc in cloud environments.Using cloud technology such as AWS, Kubernetes, Docker, Redshift, EMRYour profile:5+ years of relevant experiencePast experience building ETL processes.Strong programmer who views their code as a craftExperience with a workflow manager — Airflow, Luigi, Jenkins, etc.Experience working with data tools in the public cloud (AWS, GCP, Azure)Bonus if you have:Past experience working with the finance/claims domain is a plus.TheSFbase salary target range for this full-time position is $149,000-$186,000+ 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 across all US locations. 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.Please note that the salary range listed in this posting reflects the base salary only, and does not include bonus (if applicable), equity, or benefits.#LI-NR1
