Tarro Logo

Tarro

Data Engineer

Reposted One Month Ago
Hybrid
San Mateo, CA, USA
180K-350K Annually
Senior level
Hybrid
San Mateo, CA, USA
180K-350K Annually
Senior level
Build and scale core data infrastructure and foundational datasets. Design, develop, and maintain scalable data pipelines for analytics, ML, experimentation, and product use cases. Implement data quality, audits, alerting, and anomaly detection. Partner with product, engineering, and business stakeholders and help establish long-term, scalable data architecture and tooling.
The summary above was generated by AI
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.

HQ

Tarro San Francisco, California, USA Office

San Francisco, CA, United States

Tarro Menlo Park, California, USA Office

Menlo Park, CA, United States

Similar Jobs

7 Days Ago
Remote or Hybrid
USA
125K-159K Annually
Mid level
125K-159K Annually
Mid level
AdTech • Automotive • Big Data • Consumer Web
Administer and enhance Edmunds’ Databricks data platform and AWS infrastructure. Build and maintain ETL pipelines, infrastructure-as-code tooling using Terraform or CDK, and operational dashboards, alerts, and reports. Collaborate with business, engineering, analytics, security, and infrastructure teams to support data platform users and AI solutions. Evaluate new technologies, troubleshoot platform issues, and improve operational, cost, and security visibility.
Top Skills: SparkAWSAws CdkDatabricksInfrastructure As Code (Iac)PythonScalaSQLTerraform
8 Days Ago
Easy Apply
Hybrid
San Francisco, CA, USA
Easy Apply
50-50 Annually
Internship
50-50 Annually
Internship
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Build and maintain data pipelines and scalable cloud infrastructure supporting analytics and machine learning. Integrate internal and external data sources, ensure data integrity, contribute to analytical investigations, document findings, and apply data governance, security, and performance optimization practices while collaborating with senior engineers and cross-functional teams.
Top Skills: APIsAWSAzureCloud-Native DesignDistributed SystemsGCPGenerative AiLarge Language Models (Llms)MicroservicesPythonRelational DatabasesSQL
8 Days Ago
Remote or Hybrid
USA
120K-180K Annually
Senior level
120K-180K Annually
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Architects, deploys, and operates CrowdStrike’s data platform infrastructure and services. Responsibilities include administering Airflow and Superset, managing Terraform infrastructure, building CI/CD pipelines, implementing security and access controls, developing DBT data models, cataloging assets in OpenMetadata, writing Python automation, and mentoring engineers. The role requires cloud, container orchestration, SQL, data modeling, compliance, and AI technology expertise, along with eligibility for CJIS clearance.
Top Skills: AIApache AirflowApache SupersetAWSAzureCi/CdDbtDockerGCPIamKubernetesMachine Learning PipelinesOciOpenmetadataPythonSQLTerraform

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account