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 build resilient, scalable systems for collecting and analyzing extensive data sets. Your responsibilities will include creating and managing data pipelines, and reports. If you're detail-oriented and 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 stakeholder domain(s). This involves working closely with multiple teams to thoroughly explore the various aspects of operations, including the functionalities of existing tools and 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 will 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.