Senior Data Engineer, Marketing
Turo
- Location
- San Francisco
- Work model
- On-Site
- Level
- Senior
- Salary
- $156k – $195k/yr
- Posted
- 19d ago
Skills
About this role
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 Marketing domain. This involves working closely with a Marketing team 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.
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. 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. 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.
Your profile
Strong communication skills. Strong track record of delivering data focused projects on time and of high quality. Past experience building data pipelines and micro services. 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) Experience with AI tools for code generation (cursor, claude code) 5+ years of relevant experience. Bonus if you have: Past experience working in marketing domain is a plus For this role, the target base salary range in San Francisco is $156,000-$195,000 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. #LI-NR1 #LI-Hybrid Turo Recruiting Scam Alert: We’ve learned that there are