Taipei, Taiwan
Live, first seen by us 65 days agoPlease note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience.
We are seeking skilled engineers to build scalable distributed systems and integrate agentic AI and conversational analytics.
Architect and deploy global-scale distributed data platforms and pipelines
Design backend infrastructure for agentic AI workflows and conversational analytics
Define data strategies and conceptual models with application teams
Provide technical leadership and mentorship across project lifecycles
Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience.
We are seeking skilled engineers to build scalable distributed systems and integrate agentic AI and conversational analytics. As a Senior Staff Engineer, you will lead the architecture, data modeling, and core infrastructure powering our next-generation AI and analytics platforms.
Architect, develop, and deploy global-scale distributed platforms and pipelines for massive data ingestion, transformation, and analytical reporting.
Design and refine backend infrastructure supporting Agentic AI workflows, autonomous systems, and conversational analytics with natural language interfaces.
Partner with application teams to define data strategies and durable conceptual models spanning OLTP/OLAP and generative AI architectures (e.g., RAG).
Provide technical leadership and mentorship across the project lifecycle, focusing on efficient data modeling, prompt engineering, and high-performance data access services.
Proven experience designing and deploying Agentic AI systems and working with AI application frameworks.
Strong communication, presentation, and interpersonal skills with the ability to articulate complex concepts clearly.
Bachelor or Master degree in STEM majors.
Experience building products using at least 1 of each of the following distributed technologies: - Relational Stores (i.e. Postgres, MySQL, or Oracle) - Columnar, NoSQL, or Vector Stores (i.e. Starrocks, Clickhouse, BigQuery, Pinecone or pgvector) - Distributed Processing Engines (i.e. Apache Spark, Apache Flink) - Distributed Queues (i.e. Apache Kafka, AWS Kinesis, or GCP PubSub)
Experience with software engineering standard methodologies (e.g., unit testing, code reviews, design documents).
Experience working with GCP, Azure, AWS, or similar cloud platform technologies.
- Strong communication, presentation, and interpersonal skills with the ability to articulate complex concepts clearly. - Bachelor or Master degree in STEM majors. - Strong algorithms, data structures, and coding background with either Java, Python, or Scala programming experience (Python highly preferred for AI/ML ecosystem compatibility).
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 65
Up longer than most. Similar jobs usually come down between day 6 and day 55.
At Netskope, jobs usually come down by about day 74.
From 13,228 similar postings that came down, and 5 of Netskope’s. Coming down is not always a hire.
6 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.
- Bachelor or Master degree in STEM majors. - Strong algorithms, data structures, and coding background with either Java, Python, or Scala programming experience (Python highly preferred for AI/ML ecosystem compatibility). - Exceptional proficiency in SQL, alongside familiarity with semantic search and Natural Language to SQL paradigms.
- Strong algorithms, data structures, and coding background with either Java, Python, or Scala programming experience (Python highly preferred for AI/ML ecosystem compatibility). - Exceptional proficiency in SQL, alongside familiarity with semantic search and Natural Language to SQL paradigms. - Experience building products using at least 1 of each of the following distributed technologies: - Relational Stores (i.e. Postgres, MySQL, or Oracle) - Columnar, NoSQL, or Vector Stores (i.e. Starrocks, Clickhouse, BigQuery, Pinecone or pgvector) - Distributed Processing Engines (i.e. Apache Spark, Apache Flink) - Distributed Queues (i.e. Apache Kafka, AWS Kinesis, or GCP PubSub)
- Exceptional proficiency in SQL, alongside familiarity with semantic search and Natural Language to SQL paradigms. - Experience building products using at least 1 of each of the following distributed technologies: - Relational Stores (i.e. Postgres, MySQL, or Oracle) - Columnar, NoSQL, or Vector Stores (i.e. Starrocks, Clickhouse, BigQuery, Pinecone or pgvector) - Distributed Processing Engines (i.e. Apache Spark, Apache Flink) - Distributed Queues (i.e. Apache Kafka, AWS Kinesis, or GCP PubSub) - Experience with software engineering standard methodologies (e.g., unit testing, code reviews, design documents).
- Experience with software engineering standard methodologies (e.g., unit testing, code reviews, design documents). - Experience working with GCP, Azure, AWS, or similar cloud platform technologies. #LI-SC3
Complete your application on www.netskope.com. 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 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 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.
Netskope (NASDAQ: NTSK) is a leader in modern security and networking for the cloud and AI era. We secure and accelerate cloud, data, and AI in real time, everywhere. Thousands of customers, including more than 30 of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and the powerful NewEdge network to gain full visibility and control without performance trade-offs.
At Netskope, our technology is driven by our greatest strength: our people. We believe that belonging powers innovation, and success is both personal and organizational. We embrace differences in gender, ethnicity, beliefs, ability, and identity, creating an environment where every voice is heard and respected. We empower our employees to bring their authentic selves to work, grow their careers through continuous education and mentorship, and lead with transparency and curiosity. Join a team where you belong, where you are encouraged to be an entrepreneur, and where together, we continue to redefine the landscape of security.
Visit Careers at Netskope to learn more. Follow us on LinkedIn and Instagram.
About the role
Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience.
We are seeking skilled engineers to build scalable distributed systems and integrate agentic AI and conversational analytics. As a Senior Staff Engineer, you will lead the architecture, data modeling, and core infrastructure powering our next-generation AI and analytics platforms.
#LI-SC3
Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statues, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity/expression, genetic information, pregnancy (including childbirth, lactation and related medical conditions), or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate.
Netskope respects your privacy and is committed to protecting the personal information you share with us, please refer to Netskope's Privacy Policy for more details.
The application window for this position is expected to close within 50 days. You may apply by filling out the below information, or visiting our Netskope Careers site.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Taipei, Taiwan
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.