Hiring: Data Engineer Company: Tarro Location: San Mateo, CA Job Posted Time: 2026-09-16 16:15:21 Target Skills & Keywords : AWS, Data Pipeline, GCP, Machine Learning About the job Experience: •5+ years of experience building and operating production-grade data pipelines Required Skills: •Build and evolve Tarro’s core data infrastructure and foundational datasets •Design, develop, and maintain scalable data pipelines that support analytics, machine learning, experimentation, and product use cases •Ensure data quality and reliability by implementing audits, alerting, and anomaly detection at scale •Partner closely with Product Managers, Engineers, and business stakeholders to understand data needs and deliver trusted, actionable data •Contribute to shared data engineering tooling, standards, and best practices to improve team productivity and output quality •Help establish long-term data architecture that scales with Tarro’s growth Qualifications: •You have 5+ years of experience building and operating production-grade data pipelines •You have a strong understanding of scalable, performant data modeling patterns across structured and unstructured data sources •You have a proven ability to work cross-functionally to design data architectures that support analytics, machine learning, and experimentation •You have experience building and operating fault-tolerant, distributed systems •You have hands-on experience working in a cloud environment such as AWS or GCP •You are a self-starter who thrives in an environment with high ownership, limited process, and lots of autonomy •You care deeply about building reliable systems that solve real customer and business problems •You have experience in a consumer driven industry with a passion for the customer. •You have a BS / MS / PhD in Computer Science or a related field •You have experience with analytics and BI tools such as Looker or Tableau Compensation: •$180,000 - $350,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!