Data Engineer
At a glance
Mid-level Data Engineering role at Tarro. San Mateo · full-time · $180,000–$350,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build the shared data foundations and datasets that other teams can rely on
- Create and run pipelines for analytics, machine learning, experiments and product features
- Check data reliability with audits, alerts and anomaly detection
- Work with product managers, engineers and business partners to turn data needs into useful, trusted outputs
- Shape data architecture and engineering standards as the platform grows
What you bring
- At least five years building and running production data pipelines
- You understand how to model structured and unstructured data for scale and performance
- You have designed data architecture with other teams for analytics, machine learning or experimentation
- You have operated distributed systems that continue working through failures, plus hands-on AWS, GCP or another cloud environment
Who this fits
This mid-level role suits an experienced engineer comfortable owning work with limited process and substantial autonomy. The position is hybrid in San Mateo.
From the employer
About Us
Here 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. At Tarro, we use a combination of bits (technology) and atoms (people) to solve real world problems facing small business owners.
We obsess 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 are able to afford expensive tech that gives them a huge advantage; we believe that 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.
To learn more about our culture, values and how you can be a part of helping mom & pop restaurants thrive, please visit us here! Helping restaurants thrive, not just survive.
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
You care deeply about building reliable systems that solve real customer and business problems
Bonus Points
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
You have prior experience building data platforms or products from 0 to 1 in an ambiguous, fast-moving environment
You have 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. We welcome talent from all backgrounds - including but not limited to - race, sexual orientation, gender identity, age, nationality, religion, veteran status, political affiliation, and disability.
The salary range for this role is $180,000 - $350,000 USD.
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