Time since we first saw it
Day 48
Similar jobs usually come down between day 6 and day 54.
At Appier, jobs usually 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.
Senior Software Engineer, Data Backend (Ad Cloud)
Taipei, Taiwan
Live, first seen by us 48 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingAppier’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 and develop data pipelines with Apache Airflow and Spark
Build automation tools and monitoring and alerting systems
Deploy and scale applications on Kubernetes across AWS and GCP
From the employer’s posting
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.
Work closely with cross-functional teams to develop automation tools that streamline daily operations.
Utilize Kubernetes (k8s) for container orchestration to facilitate efficient deployment and scaling of applications.
What you’ll bring
All qualificationsCore experience
- 2+ 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
Preferred experience
- 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
Qualification wording
2+ 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
Education & alternatives
[Minimum qualifications] - BS/MS degree in Computer Science - 2+ years of experience in building and operating large-scale distributed systems or applications
About Appier
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
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 17, 202648 days ago
- Recorded sightings
- 28
- Last seen by us
- Nov 5, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Appier is hiring
15 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Its jobs tend to stay up a long time
- 7% of open jobs were reposted
See how this role fits your experience
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.
- Java
- Python
- Scala
- AWS
- ClickHouse
- DuckDB
- GCP
- Hadoop
- Hive
- Kubernetes
- Spark
- Trino
- Airflow
Where the posting names them
- 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-TC1
- 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 DuckDB, Druid, 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
- 2+ 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.
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Demand for Data Engineer roles
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.
About the role
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.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
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.
Job description
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
- 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.
- Work closely with cross-functional teams to develop automation tools that streamline daily operations.
- Implement state-of-the-art monitoring and alerting systems to ensure optimal system performance and stability.
- 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.
About you
[Minimum qualifications]
- BS/MS degree in Computer Science
- 2+ 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
- Highly proficient in AI-assisted development workflows, with hands-on experience leveraging tools such as Cursor, Claude Code, Gemini, or equivalent in day-to-day engineering.
- Solid understanding of agentic coding paradigms, including building or working within multi-step, tool-augmented AI development pipelines.
- Eagerness to change the world in a huge way by being a self-motivated learner and builder
[Preferred qualifications]
- Experience working with DuckDB, Druid, 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
#LI-TC1
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Taipei, Taiwan
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.