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Tarro

Data Engineer

San Mateo, CAHybrid · United States
FullTime · Data Products
POSTED 20 JAN
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Role
293 days opentrue age
Posted 20 Jan
Pay
$180k–$266kno pay posted
Market p25–p75
$180k–$266k
SF Bay Area · n=51 · 365d to 6 Nov
CompanyTarro →
37open roles
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AWSGCPDistributed systems

About Tarro

Our vision

Tarro is building the future of restaurant infrastructure. The U.S. restaurant industry is a trillion-dollar market, but it remains relatively underserved by technology. Running a restaurant comes with a never-ending list of operational work, and many owners spend most of their day on what they have to do rather than what they want to do. We envision a future where they can delegate that work to Tarro and focus on what they love doing.

Restaurant owners want more orders, better margins, and fewer operational headaches. Giving them software is only part of the answer. Our ecosystem brings phone ordering, online ordering, delivery, point of sale, payments, and marketing into one vertically integrated operation. We combine software, AI, and human operations so independent restaurants can hand that work to us end to end.

Using Tarro should feel like having experienced operators, engineers, and marketers working for your restaurant. Our job is to turn that expertise into services owners can rely on, without having to build those teams themselves.

Our traction

Thousands of restaurants have entrusted Tarro with their success. Since 2020, we’ve processed close to $3 billion in restaurant orders, helped those restaurants serve more than 20 million consumers, and taken an estimated 3 million hours of work off their teams’ hands. And we’re still early in our journey.

Our team

We’re a lean team with top talent from OpenAI, Meta, Google, Tesla, Square, Stripe, Shopify, and Citadel. We’re scrappy builders who love to roll up our sleeves and get into the details of improving a restaurant’s operations. Many of us regularly work in restaurants to experience firsthand what our users deal with.

We move quickly, keep process light, and expect high standards of craft. Our leaders stay hands-on, and our teams have the autonomy to make decisions and the responsibility to see them through.

At Tarro, product judgment and technical execution belong together. You’ll be trusted to understand the restaurant’s problem, decide how to solve it, and carry the solution through to something people use every day. If you want to build products restaurant owners depend on, we’d love to work with you.

What we’re looking for

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.

What you’ll accomplish

You will build and evolve Tarro’s core data infrastructure and foundational datasets

You will design, develop, and maintain scalable data pipelines that support analytics, machine learning, experimentation, and product use cases

You will ensure data quality and reliability by implementing audits, alerting, and anomaly detection at scale

You will partner closely with Product Managers, Engineers, and business stakeholders to understand data needs and deliver trusted, actionable data

You will contribute to shared data engineering tooling, standards, and best practices to improve team productivity and output quality

You will help establish long-term data architecture that scales with Tarro’s growth

About You

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

Source · TarroFirst seen 7 NovOriginal ↗