Tokyo, Japan
Open 7 months, first seen by us 229 days agoAppier’s solutions are powered by proprietary deep learning and machine learning technologies to empower every business to use AI to turn data into business insights and decisions.
Design, develop and maintain RESTful APIs in Python
Build and manage data warehouses on ClickHouse, Trino/Presto and Pinot
Design data pipelines using Apache Airflow and Apache Spark
Implement monitoring and alerting for system performance and stability
Deploy and scale applications with Kubernetes
Appier’s solutions are powered by proprietary deep learning and machine learning technologies to empower every business to use AI to turn data into business insights and decisions. As a Software Engineer, Data Backend, you will be involved in helping to build critical components of this platform.
Design, develop, and maintain RESTful APIs using Python.
Build and manage robust data warehouses utilizing ClickHouse, Trino/Presto and Pinot.
Design and develop data pipelines using Apache Airflow and Apache Spark.
Implement state-of-the-art monitoring and alerting systems to ensure optimal system performance and stability.
Utilize Kubernetes (k8s) for container orchestration to facilitate efficient deployment and scaling of applications.
5+ years of experience in building and operating large-scale distributed systems or applications
Experience in Kubernetes development, Linux/Unix
Experience in managing data lake or data warehouse
Expertise in developing data structures, algorithms on top of Big Data platforms
Ability to operate effectively and independently in a dynamic, fluid environment
Ability to work in a fast-moving team environment and juggle many tasks and projects
Experience working with Python, Scala/Java is a plus
Experience with Hadoop, Hive, Flink, Presto/Trino and related big data systems is a plus
Experience with Public Cloud like AWS or GCP is a plus
[Minimum qualifications] - BS/MS degree in Computer Science - 5+ years of experience in building and operating large-scale distributed systems or applications
Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making.
In the employer’s words · Read in context
Open 7 monthsWe first saw this posting 229 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 229
Up longer than most. Similar jobs usually come down between day 6 and day 54.
Well past Appier’s usual: its jobs come down by about day 77.
From 11,032 similar postings that came down, and 10 of Appier’s. Coming down is not always a hire.
15 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Contributing to open source projects is a huge plus (please include your github link) - Experience working with Python, Scala/Java is a plus - Experience with Hadoop, Hive, Flink, Presto/Trino and related big data systems is a plus
Responsibilities - Design, develop, and maintain RESTful APIs using Python. - Build and manage robust data warehouses utilizing ClickHouse, Trino/Presto and Pinot.
- Address queries from applications in a timely and effective manner, ensuring high client satisfaction. - Work on cloud platforms such as AWS and GCP, leveraging their capabilities to optimize data operations. - Utilize Kubernetes (k8s) for container orchestration to facilitate efficient deployment and scaling of applications.
- Experience with Hadoop, Hive, Flink, Presto/Trino and related big data systems is a plus - Experience with Public Cloud like AWS or GCP is a plus #LI-EZ1
- Design, develop, and maintain RESTful APIs using Python. - Build and manage robust data warehouses utilizing ClickHouse, Trino/Presto and Pinot. - Design and develop data pipelines using Apache Airflow and Apache Spark.
[Preferred qualifications] - Experience working with ClickHouse is a big plus - Contributing to open source projects is a huge plus (please include your github link)
- Experience working with Python, Scala/Java is a plus - Experience with Hadoop, Hive, Flink, Presto/Trino and related big data systems is a plus - Experience with Public Cloud like AWS or GCP is a plus
- Work on cloud platforms such as AWS and GCP, leveraging their capabilities to optimize data operations. - Utilize Kubernetes (k8s) for container orchestration to facilitate efficient deployment and scaling of applications. About you
- 5+ years of experience in building and operating large-scale distributed systems or applications - Experience in Kubernetes development, Linux/Unix - Experience in managing data lake or data warehouse
- Build and manage robust data warehouses utilizing ClickHouse, Trino/Presto and Pinot. - Design and develop data pipelines using Apache Airflow and Apache Spark. - Work closely with cross-functional teams to develop automation tools that streamline daily operations.
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Already applied? Track this application
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
About Appier
Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.
About the role
Appier’s solutions are powered by proprietary deep learning and machine learning technologies to empower every business to use AI to turn data into business insights and decisions. As a Software Engineer, Data Backend, you will be involved in helping to build critical components of this platform.
Responsibilities
About you
[Minimum qualifications]
[Preferred qualifications]
#LI-EZ1
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Tokyo, Japan
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.