Skip to content

Open nowPosted 283 days ago

Data Engineer

Tarro37 open roles

Pay
$180,000 – $350,000 a year
Where
San Mateo, CA
Work mode
Hybrid
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowData EngineerTarro · San Mateo, CA
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Tarro's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.8% of postings close within 7 days. Measured by our own scanner across the market. Tarro postings stay open a median of 51 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.5%3 days
  3. 12.8%7 days
  4. 20.6%14 days
  5. 35.6%30 days
  6. 58.4%60 days
This job: posted 283 days ago

Tarro median: 51 days open

The posting

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

- 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!

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Tarro's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on Tarro's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    Tarro's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.