Data Engineer

About Us

At Tarro, we build products that empower small brick-and-mortar restaurants by liberating them of the operational burden of running their business. We accomplish this by providing a frictionless connection between them and their customers through our multi-product ecosystem offering AI-enabled order taking, delivery enablement, payment solutions, and point-of-sale software. We use a combination of bits (technology) and atoms (people) to solve real-world problems facing small business owners, obsessing over placing our customers first and working backwards from there. When our customers succeed, we succeed.

The restaurant industry in the US is over a $1 trillion total addressable market (TAM), but remains relatively underserved by technology. Large chains can afford expensive tech that gives them a huge advantage; we believe small restaurant owners deserve access to the same technologies at an affordable price. Tarro has been profitable for nearly a decade and has seen 5x revenue growth in the past four years. As of our last fundraising round in mid-2022, we were valued at $450M and have since seen substantial growth across customer acquisition, product development, and company headcount. Thousands of loyal restaurants have entrusted Tarro with their success, and together we have supported nearly 20 million customers. We are proud to be named one of Built In’s top companies to work for in 2023.

About the Role

We are looking for a Data Engineer to help build and scale Tarro’s data infrastructure as we continue to expand our product portfolio and customer base. You’ll play a foundational role in shaping how data is collected, modeled, validated, and consumed across the company. This is a high-impact opportunity to work in a fast-paced, profitable startup where you’ll have real ownership, move quickly, and see your work directly influence product and business outcomes.

Responsibilities

• 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

Requirements

• 5+ years of experience building and operating production-grade data pipelines
• Strong understanding of scalable, performant data modeling patterns across structured and unstructured data sources
• Proven ability to work cross-functionally to design data architectures that support analytics, machine learning, and experimentation
• Experience building and operating fault-tolerant, distributed systems
• Hands-on experience working in a cloud environment such as AWS or GCP
• Self-starter who thrives in an environment with high ownership, limited process, and lots of autonomy
• Deep care for building reliable systems that solve real customer and business problems

Nice to Have

• Experience in a consumer-driven industry with a passion for the customer
• BS / MS / PhD in Computer Science or a related field
• Experience with analytics and BI tools such as Looker or Tableau
• Prior experience building data platforms or products from 0 to 1 in an ambiguous, fast-moving environment
• A roll-up-your-sleeves mentality with current or prior experience working in a fast-paced, collaborative, highly ambiguous environment frequently wearing more than one hat

If you do not meet all the requirements listed above—which candidates rarely do—don’t worry. We still encourage you to apply! Tarro is committed to hiring the best team to empower small businesses to thrive. We believe that a diverse workforce is paramount to our success and welcome talent from all backgrounds.

Pay

The salary range for this role is $180,000 - $350,000 USD.