10 months ago
Base Salary
$180k - $350k/yr
Responsibilities
- Build and evolve Tarro’s core data infrastructure and foundational datasets.
- Design, develop, and maintain scalable data pipelines for analytics, machine learning, experimentation, and product use cases.
- Implement data audits, alerting, and anomaly detection to ensure data quality and reliability at scale.
- Partner 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.
- Help establish long-term data architecture that scales with Tarro’s growth.
Requirements
- 5+ years of experience building and operating production-grade data pipelines.
- Strong understanding of scalable, performant data modeling across structured and unstructured data sources.
- Proven ability to design data architectures supporting analytics, machine learning, and experimentation.
- Experience building and operating fault-tolerant, distributed systems.
- Hands-on experience with a cloud environment such as AWS or GCP.
- Bonus: experience in a consumer-driven industry.
- Bonus: experience with analytics and BI tools such as Looker or Tableau.
- Bonus: experience building data platforms or products from 0 to 1 in an ambiguous, fast-moving environment.
- Bonus: BS, MS, or PhD in Computer Science or a related field.
Benefits
- The salary range is $180,000 - $350,000 USD.
- The role offers high ownership, autonomy, and the opportunity to work in a fast-paced, profitable startup.
- Tarro is committed to a diverse and inclusive workforce.
Tech Stack
Categories
Data Engineering
About Tarro
Tarro builds a multi-product platform for small brick-and-mortar restaurants that handles AI- and human-assisted phone ordering, delivery enablement, marketing, payments, and point-of-sale. The company combines software with operational services to connect restaurants with customers and reduce front-of-house overhead. Founded in 2015 and headquartered in San Francisco, it is privately held and reports adoption by thousands of restaurants.