Staff Data Engineer
Office - India - Bangalore Bagmane Tech Park
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.
Read the full posting
What you’ll work on
Full postingDesign and implement scalable data architectures and datasets
Build batch and real-time analytical solutions on large datasets
Enable data-level security and scalable solutions in cloud environments
Characterize, evaluate and fine-tune AI agents for accuracy and reliability
Translate business challenges into data engineering and AI use cases
From the employer’s posting
Design and implement scalable data architectures and datasets
Support and implement large datasets in batch/real-time analytical solutions
Enable robust data-level security features and build scalable solutions to support dynamic cloud environments
characterizing, evaluating, and fine-tuning AI agents
translate business challenges into data engineering and AI use-cases
What you’ll bring
All qualificationsCore experience
- Experience building analytical datasets for business and AI use cases
- Hands-on work with Google Cloud, BigQuery and Vertex AI
- Expert-level Python programming
- Solid SQL for complex querying and data manipulation
- Experience building dashboards in Tableau, Looker or similar
Preferred experience
- Experience in evaluating and optimizing the performance of AI systems or agents
Qualification wording
Experience building and optimizing clean, well-structured analytical datasets for business and AI use cases
Prior experience working extensively within dynamic cloud environments, specifically Google Cloud Services (GCS) BigQuery and Vertex AI
Expert-level programming skills in Python
A solid command of SQL for complex querying and data manipulation
Prior experience developing dashboards in Tableau/Looker or similar data viz platform
Experience in evaluating and optimizing the performance of AI systems or agents
Tools in this posting
- Python
- SQL
- BigQuery
- Google Cloud Storage
- Looker
- Tableau
- Hugging Face
- GCP
Source — Tool mentions in context
- Prior experience developing dashboards in Tableau/Looker or similar data viz platform. - Expert-level programming skills in Python - A solid command of SQL for complex querying and data manipulation.
- Expert-level programming skills in Python - A solid command of SQL for complex querying and data manipulation. - Proven ability to work autonomously, navigate ambiguity, and drive projects from concept to completion.
- Experience building and optimizing clean, well-structured analytical datasets for business and AI use cases. This includes implementing and supporting Big Data solutions for both batch (scheduled) and real-time (streaming) analytics. - Prior experience working extensively within dynamic cloud environments, specifically Google Cloud Services (GCS) BigQuery and Vertex AI. - Prior experience developing dashboards in Tableau/Looker or similar data viz platform.
- Prior experience working extensively within dynamic cloud environments, specifically Google Cloud Services (GCS) BigQuery and Vertex AI. - Prior experience developing dashboards in Tableau/Looker or similar data viz platform. - Expert-level programming skills in Python
Preferred Qualifications Direct experience with generative AI, including hands-on work with LLMs and frameworks like LangChain, LlamaIndex, or the Hugging Face ecosystem. Experience in evaluating and optimizing the performance of AI systems or agents
About Paloaltonetworks
At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 9 days ago, still listed, and not a repost of an earlier listing.
- Status in our records
- Live
- First seen by us
- Oct 13, 2026 · 9 days ago
- Recorded sightings
- 35
- Last seen by us
- Oct 22, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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Job description
Our Mission
At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place.
Who We Are
In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!
We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.Job Summary
In this versatile role, you will drive impact across both data engineering and AI domains:
Data Engineering Foundations
Design & Development: Design and implement scalable data architectures and datasets that support the organization's evolving data needs, providing the technical foundations for our analytics team and business users.
Data Engineering: Support and implement large datasets in batch/real-time analytical solutions leveraging data transformation technologies.
Data Security & Scalability: Enable robust data-level security features and build scalable solutions to support dynamic cloud environments, including financial considerations.
Optimize AI Agentic Systems: Play a key role in our generative AI initiatives. You will be responsible for characterizing, evaluating, and fine-tuning AI agents—such as conversational systems that allow users to query massive datasets using natural language—to improve their accuracy, efficiency, and reliability.
Partner with Business Stakeholders: Act as an internal consultant across enterprise functions including Go-to-Market (GTM),Product, Marketing, Finance, and Operations. You'll translate business challenges into data engineering and AI use-cases, identify opportunities for AI-driven solutions, and present your findings in a clear, actionable manner.
Qualifications
Required Experience
- Experience building and optimizing clean, well-structured analytical datasets for business and AI use cases. This includes implementing and supporting Big Data solutions for both batch (scheduled) and real-time (streaming) analytics.
- Prior experience working extensively within dynamic cloud environments, specifically Google Cloud Services (GCS) BigQuery and Vertex AI.
- Prior experience developing dashboards in Tableau/Looker or similar data viz platform.
- Expert-level programming skills in Python
- A solid command of SQL for complex querying and data manipulation.
- Proven ability to work autonomously, navigate ambiguity, and drive projects from concept to completion.
Preferred Qualifications
Direct experience with generative AI, including hands-on work with LLMs and frameworks like LangChain, LlamaIndex, or the Hugging Face ecosystem.
Experience in evaluating and optimizing the performance of AI systems or agents
Our Commitment
We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.
We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com.
Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.
All your information will be kept confidential according to EEO guidelines.
Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Office - India - Bangalore Bagmane Tech Park
Working pattern and location restrictions need checking in the full posting.
- Work authorization
All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.
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