This position is closed and is no longer accepting applications.

Data Engineer

PayPay Minato-ku, Tokyo
    💴 ¥8M ~ ¥12M annually
    🏡 Fully remote
    🧪 3+ years experience required
    💬 No Japanese required
    🌏 Apply from abroad
    🧳 Relocate to Japan

About PayPay

PayPay Minato-ku, Tokyo

With over 55 million registered users (as of February 2023), PayPay is the country’s most popular mobile wallet. Half of all of Japan's smartphone users are using it, and more than 2 billion payments made per year.

Key benefits

  • International engineering team
  • Japanese lessons on company time
  • Incredible scale

About the position


  • Design, build, and maintain distributed batch and real-time data pipelines and data models.
  • Facilitate real-life actionable use cases leveraging our data with a user- and product-oriented mindset.
  • Be curious and eager to work across a variety of engineering specialties (i.e., Data Science, and Machine Learning to name a few).
  • Support teams without data engineers with building decentralized data solutions and product integrations, for example around DynamoDB.
  • Enforce privacy and security standards by design.
  • Conceptualize, design and implement improvements to ETL processes and data through independent communication with data-savvy stakeholders.


  • 3+ years experience building complex data pipelines and working with both technical and business stakeholders.
  • Experience in at least one primary language (e.g., Java, Scala, Python) and SQL (any variant).
  • Experience with technologies like BigQuery, Spark, AWS Redshift, Kafka, or Kinesis streaming.
  • Experience creating and maintaining ETL processes.
  • Experience designing, building, and operating a DataLake or Data Warehouse.
  • Experience with DBMS and SQL tuning.
  • Strong fundamentals in big data and machine learning.

Preferred Qualifications

  • Experience with RESTful APIs, Pub/Sub Systems, or Database Clients.
  • Experience with analytics and defining metrics.
  • Experience with measuring data quality.
  • Experience productionalizing a machine learning workflow; MLOps
  • Experience in one or more machine learning frameworks, including but not limited to scikit-learn, Tensorflow, PyTorch and H2O.
  • Language ability in Japanese and English is a plus (We have a professional translator but it is nice to have language skills).
  • Experience with AWS services.
  • Experience with microservices.
  • Knowledge of Data Security and Privacy.


8 to 12 million JPY annually.

Meet PayPay's Developers

Ashwini leads one of PayPay’s payment sub-teams. She got there by doing something she’s done throughout her career: identifying something she wants to do and asking to do it.

Read her story...
Photo of Yoseph Savianto

iOS Development at PayPay

with Yoseph Savianto

Yoseph joined PayPay after being attracted to their mission of making Japan a cashless society. As an iOS Engineer, he originally joined their iOS feature team, but now works on their platform team, creating an internal SDK for their iOS and Android apps.

Read his story...

Shilei started working on PayPay before it launched, and has seen it grow into a product used by tens of millions of users. He explains how diversity has helped them overcome challenges, and what PayPay is looking for in candidates.

Read his story...
Photo of Adrian Mariadas

Refactoring PayPay’s Android App

with Adrian Mariadas

Adrian came to Japan to join PayPay as an Android Engineer. As the app has grown in scope, refactoring the codebase to ensure development can continue at a rapid pace has been a big part of his job.

Read his story...

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