Bengaluru, Karnataka
Live, first seen by us 33 days agoPlease note that we will not sponsor applicants for work visas for this position
Design and implement scalable data architectures and datasets for analytics and business users
Support large batch and real-time analytical data solutions
Characterize, evaluate, and fine-tune AI agents for accuracy, efficiency, and reliability
Enable data-level security features and build scalable cloud solutions
Translate business challenges into data engineering and AI use cases for GTM, Product, Marketing, Finance, and…
Design and implement scalable data architectures and datasets that support the organization's evolving data needs
Support and implement large datasets in batch/real-time analytical solutions leveraging data transformation technologies
characterizing, evaluating, and fine-tuning AI agents
Enable robust data-level security features and build scalable solutions to support dynamic cloud environments
translate business challenges into data engineering and AI use-cases
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.
Proven ability to work autonomously, navigate ambiguity, and drive projects from concept to completion.
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.
Experience in evaluating and optimizing the performance of AI systems or agents
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
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- 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
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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.
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
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.Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Bengaluru, Karnataka
Working pattern and location restrictions need checking in the full posting.
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.