Software Engineer, Data

Mercari is Your Marketplace. We make it super easy to sell (or buy) almost anything. We all have things we don't use, never used or simply outgrew. But that stuff still has value. Mercari gives you the power to simply sell it, ship it, and earn some cash for it. Fashion to toys. Sporting goods to electronics. All the brands you know and love.

Our mission is simple: to make selling easier than buying. And with 50M+ downloads in the U.S. and 350k+ new listings every day, we're just getting started.

As a Software Engineer, Data, you will be developing and enhancing our marketplace platform's data infrastructure. You will work with modern data technologies, build scalable data pipelines, and collaborate with cross-functional teams to deliver high-quality data solutions. This role emphasizes data engineering best practices, including governance, security, and compliance. In this role you will mentor and guide junior engineers, and help build strong engineering practices within the team.

You will leverage AI tools and technologies to enhance workflows and processes to improve efficiencies, and you will apply development tools, including AI assistance, to deliver quality code efficiently.

What you’ll be doing:

• Design, develop, and maintain scalable data pipelines using GCP services like Dataform, Big Query, and Airflow
• Optimize data processing and storage, focusing on performance and cost efficiency
• Write comprehensive data quality tests to ensure data reliability
• Work closely with data teams to implement complex data models
• Develop reusable data components and shared libraries
• Mentor junior engineers and provide constructive feedback through code reviews
• Contribute to technical documentation and architectural decisions

What you’ll need:

Bachelor's degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience)

• 4+ years of experience in data engineering
• Experience with GCP data services (Big Query, Dataform, Dataflow, Pub/Sub)
• Experience setting up CI/CD pipelines for data processing
• Experience optimizing data pipeline performance and cost
• Experience with data modeling and ETL processes
• Strong understanding of GCP or other hyperscalers (AWS, Azure).
• Strong knowledge of data optimization techniques
• Programming experience in Python, SQL or Typescript
• Strong understanding of how data is applied to solve business problems

Bonus Points:

• Experience with Machine Learning or Data Science concepts.
• AI Automation knowledge and experience
• Data & AI Governance experience

This position is based in the San Francisco Bay Area with an expectation of in-office 2 days per week.

The applicable salary range for this role is $146,000 to $219,000 for applicants located in the San Francisco Bay Area.

Why Mercari:

Small enough to make an impact, but established enough to provide the stability you need to be successful, Mercari is the best of both worlds. At Mercari you are encouraged to take risks. And when you do, you can do it confidently, knowing you have a team and a company that supports you.

As we grow, your career opportunities with Mercari grow. As our teams expand, your responsibilities expand. Our teams are supported with access to new tools, technologies, and learning opportunities. We will never stop growing.

Total Rewards:

• Teamwork:
  We are each other's biggest fans- we celebrate from virtual coffee breaks to recognition programs
• Flexibility:
  Work from home and the office, depending on need and receive flexible time off
• Growth:
  As we grow, your career opportunities grow, we provide access to new tools, technologies and learning opportunities
• Wellbeing:
  Top-notch insurance plans, best-in-class new parent offerings and access to mind and body wellness apps
• Comprehensive and total rewards:
  We provide a strong financial foundation and rewards that go beyond the paycheck

As set forth in Mercari's Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.