- Страна
- США
- Зарплата
- 144 000 $ – 216 000 $
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Software Engineer, Data
Отличная вакансия в известной компании с прозрачной вилкой зарплаты и современным стеком. Гибридный формат в Кремниевой долине и фокус на AI делают позицию очень привлекательной для карьерного роста.
Сложность вакансии
Роль требует глубоких знаний экосистемы GCP и не менее 4 лет опыта. Высокая планка обусловлена необходимостью менторства и работы с AI-инструментами в дополнение к классическому ETL.
Анализ зарплаты
Предложенная вилка ($144k - $216k) полностью соответствует рыночным стандартам для Senior/Middle+ Data Engineer в районе Пало-Альто. Верхняя граница даже несколько превышает медиану, что делает предложение конкурентоспособным.
Сопроводительное письмо
I am writing to express my strong interest in the Software Engineer, Data position at Mercari. With over four years of experience in data engineering and a deep focus on the Google Cloud Platform ecosystem, I have developed a robust skill set in building scalable pipelines using BigQuery, Dataform, and Airflow. My background in optimizing data processing for both performance and cost efficiency aligns perfectly with Mercari's mission to enhance its marketplace platform.
In my previous roles, I have successfully implemented complex data models and CI/CD pipelines, ensuring high data reliability through comprehensive testing. I am particularly drawn to Mercari's culture of innovation and the opportunity to leverage AI tools to improve engineering workflows. I am confident that my technical expertise and experience in mentoring junior engineers will allow me to make a significant contribution to your data team in Palo Alto.
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Описание вакансии
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 $144,000 to $216,000 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
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Навыки
- Tableau
- TypeScript
- Python
- GCP
- SQL
- Looker
- CI/CD
- BigQuery
- Airflow
- ETL
- Power BI
- Data Modeling
- Dataflow
- Dataform
- Pub/Sub
Возможные вопросы на собеседовании
Проверка практического опыта работы с ключевым стеком компании.
Расскажите о вашем опыте использования Dataform и BigQuery для построения масштабируемых хранилищ данных. С какими ограничениями вы сталкивались?
Оптимизация затрат — одна из ключевых задач в описании вакансии.
Какие стратегии вы используете для оптимизации стоимости запросов и хранения данных в Google Cloud Platform?
Вакансия предполагает менторство. Важно понять лидерские качества кандидата.
Опишите случай, когда вы давали конструктивную критику коллеге во время code review. Как это повлияло на качество кода и развитие инженера?
Проверка навыков обеспечения надежности данных.
Как вы организуете процесс тестирования качества данных (Data Quality) в CI/CD пайплайнах?
Mercari поощряет использование AI.
Как вы используете AI-ассистентов (например, GitHub Copilot) в своей ежедневной разработке для повышения эффективности?
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- Страна
- США
- Зарплата
- 144 000 $ – 216 000 $