Level

Netskope

Sr. Staff Engineer, Data Engineering

Netskope is hiring a Sr. Staff Engineer, Data Engineering for a remote role open to applicants in Taiwan. Level rates it ; you can apply on Netskope.

Level's read on this job

  • Level rates this data engineer role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • This is listed as a remote role.
  • The posting mentions Pinecone, pgvector and LangChain among its tools and skills.
  • Level classes it as a lead role.
  • Netskope has 127 other open roles on Level.

AI in this role

Lead architecture and data infrastructure for agentic AI workflows, conversational analytics, and next-generation AI platforms at Netskope.

pineconepgvectorlangchainpython
prompt-engineeringragdistributed-systemsdata-engineeringdata-modeling

Join the Future of Security at Netskope

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.

Role and Responsibilities

  • 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).
  • Evaluate data integration challenges and deliver optimized architectural solutions for complex business requirements.
  • Research emerging AI techniques and advanced machine learning methodologies to continuously enhance data design patterns.
  • Provide technical leadership and mentorship across the project lifecycle, focusing on efficient data modeling, prompt engineering, and high-performance data access services.

Qualifications

  • At least 8 years of hands-on experience in architecture, design, or development of enterprise data solutions, applications, and integrations.
  • 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.
  • 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)
  • 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

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.

How we rate this

Sr. Staff Engineer, Data Engineering at Netskope rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringRAGDistributed SystemsData EngineeringData ModelingPineconepgvectorLangChain

Also common in data engineer jobs at this level

Pay

Typical data engineer job
$150k

This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs

Questions you could be asked

  1. How do you structure and test a prompt to get consistent output from a language model?
  2. How would you design a retrieval step so the model answers from real data instead of guessing?
  3. Tell me about a project where distributed systems was part of your work. What did you do?
  4. Tell me about a project where data engineering was part of your work. What did you do?
  5. Tell me about a project where data modeling was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Prompt engineering, RAG, Distributed Systems, Data Engineering, and Data Modeling. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

Want an expert to read your CV for this job?

Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.

Get new remote data engineer jobs (Works on AI ●●●○ or higher) by email

One email a week with the new remote data engineer jobs (Works on AI ●●●○ or higher), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.

Free. One email a week. Unsubscribe in one click.

Similar roles

Software Engineering roles that work on AI, at other companies.

What kind of AI work fits you?

Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.

Find my next step

More jobs at Netskope

More data engineer jobs

Related searches

Same AI level

Jobs by city