18:I[34901,["/_next/static/chunks/1q_xs299ft_73.js","/_next/static/chunks/1hsg494-jz4os.js","/_next/static/chunks/1a25lc5cxtp8a.js","/_next/static/chunks/08v7mhpebw2l_.js"],"JobTable"] 19:T1167,

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, BigQuery, 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 (BigQuery, 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:

Dashboard Development in BI Tools (Looker, PowerBI, Tableau)
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

1a:T10d9,

Operating with a high degree of autonomy, you will partner tightly with our Growth, Marketing, and Product teams to translate abstract growth opportunities into actionable insights. As a Senior Growth Data Analyst, you will prioritize business impact and you thrive in fast experiment-iterate cycles and take direct accountability for measurable business results.

What you’ll be doing:

Strategic Advisory & Insight Discovery: You will proactively identify trends and anomalies in complex datasets. You will translate these findings into high-impact recommendations for senior stakeholders, moving beyond reporting to actively shaping the growth.
End-to-End Project Ownership: You will independently manage the full analytics lifecycle—from defining the business problem and gathering requirements to data cleaning, modeling, and final delivery.
Advanced Data Modeling & Architecture: You will design, build, and maintain sophisticated data models and automated dashboards that serve as single sources of truth for the organization.
Stakeholder Partnership: You act as the primary point of contact for cross-functional teams (Product, Marketing, Ops), distilling technical complexities into clear, actionable narratives for non-technical audiences.
Process Automation & Optimization: You identify and automate repetitive data tasks using SQL and Python etc. And you champion best practices for data governance, documentation, and code efficiency.

What you’ll need:

Bachelor’s degree in Business, Data Science, Computer Science, Statistics, or a related field

At least 8 years experience working in Data Analytics with large-scale data processing tools (SQL, Python etc)
Strong proven track records in growth, marketing, and direct business impact, with a willingness to explicitly own business impact.
Proficiency in Python and SQL(Google Big Query)
Solid understanding of statistics, experimental design, and causal reasoning
Looker(LookML) developer experience a plus

Bonus Points:

Japanese language proficiency is a plus

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 $151,609 to $227,414.

Why Mercari:

Total Rewards:

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

1b:T13a9,

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 almost 500k new listings every day, we're just getting started.

Our Engineers are developing complex software systems that scale to millions of users, all with production quality deployment, monitoring, and reliability. You will be designing, developing, testing, deploying, maintaining, and improving our mission-critical backend systems. You bring an insatiable desire to build safe and secure systems that have a direct impact on users. You love to solve complex performance problems and architectural challenges. And you take great pride in mentoring and collaborating in an open, respectful, flexible, and empathic manner.

The Sr Software Engineer, Backend plays a key role in building and optimizing our marketplace platform's backend services. This role involves developing scalable, high-performance microservices, collaborating closely with product and frontend teams, and implementing best practices for modern backend development. This role requires deep expertise in Go, PHP, distributed systems, and microservices architecture.

What you’ll be doing:

Lead the development of complex backend features and services, such as payment processing and inventory management systems
Design and implement scalable backend architectures and patterns, including microservices and event-driven systems
Drive technical decisions and best practices for backend development, including coding standards, performance budgets, and testing strategies
Mentor and guide other engineers in backend development practices through code reviews and technical presentations
Collaborate with product and frontend teams to define technical requirements and feasibility of new features
Optimize backend performance and scalability, focusing on database optimization, caching strategies, and load balancing
Contribute to backend platform technology and strategic roadmap decisions, including technology evaluation and technical debt reduction
Lead technical discussions and architectural reviews for major features and system changes

What you’ll need:

Bachelor's degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience)
At least 8 years of experience in backend development
Experience with large-scale distributed systems handling millions of users
Experience with microservices architecture and service mesh
Experience with performance optimization at scale, including database optimization and caching strategies
Experience with modern backend build tools and deployment strategies (Docker, Kubernetes, Terraform)
Expert knowledge of Go and PHP ecosystems
Deep understanding of backend performance optimization techniques
Strong architectural and system design skills
Excellent knowledge of Agentic AI tools and workflows
Excellent mentoring and technical leadership abilities

This position is based in the San Francisco Bay Area with an expectation of in-office (Palo Alto) 2-3 days per week.

The applicable salary range for this role is $168,000 to $252,000 for applicants located in the San Francisco Bay Area.

Why Mercari:

Total Rewards:

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

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Role	Company	Location	Season	Posted
Software Engineer, Data	Mercari	Palo Alto, CA, United StatesHybrid	—	2 days ago
Sr. Growth Data Analyst	Mercari	Palo Alto, CA, United StatesHybrid	—	1 month ago
Sr. Software Engineer, Backend	Mercari	Palo Alto, CA, United StatesHybrid	—	3 months ago