CiscoPosted 4d ago
Data Engineer at Cisco scores 70 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.
AI in this role
Meet the Team
Join a high-performing team that is transforming the way Cisco delivers enterprise data, analytics, and AI-driven business solutions. Our organization builds next-generation platforms that power critical business capabilities across Sales, Customer Success, Services, Renewals, and Enterprise Agreements. We are at the forefront of leveraging Generative AI, Agentic AI, Machine Learning, and modern cloud technologies to automate complex workflows, accelerate engineering productivity, and deliver intelligent business insights at scale. As part of this team, you will deliver Cisco's strategic priorities by designing innovative solutions that solve real business challenges while influencing enterprise-wide technology adoption.
Your Impact
Join our team as a Data Engineer focused on modern data and AI solutions. This role offers the opportunity to work on high-impact platform modernization and AI initiatives from design through production.
- Build and optimize Snowflake, SAP HANA and dbt data pipelines using advanced SQL and Python.
- Design and integrate enterprise data engineering and AI solutions, including LLM, RAG, and AI Agent use cases.
- Develop and manage complex system integrations and Control-M workflows across enterprise platforms.
- Partner with architects, engineers, and business stakeholders to deliver secure, scalable, and production-ready solutions.
- Contribute to platform modernization, data quality, automation, and AI innovation across the enterprise.
Minimum Qualifications
- Bachelors or masters degree in computer science, Data Science, Artificial Intelligence, Engineering, or a related technical field.
- 5-10 years of experience in data engineering, solution architecture, or enterprise application development, including delivering AI/ML or Generative AI solutions.
- Hands-on experience developing data solutions using Snowflake, SAP HANA, dbt, advanced SQL, and Python, including enterprise data pipelines and integrations.
- Experience with LLMs, Generative AI, RAG, or AI Agents, with exposure to cloud platforms such as AWS, Azure, or Google Cloud.
- Experience delivering enterprise-scale integrations and modernization initiatives, including APIs, Control-M, System integration, data validation, and production deployment.
Preferred Qualifications
- Advanced Data Engineering: Hands-on experience with Snowflake, SQL, Python, dbt, ETL pipelines, and large-scale data platform modernization.
- AI & Intelligent Automation: Experience applying Generative AI, LLMs, and AI Agents to data engineering, validation, and operational automation. Proven ability to independently design, develop, and deliver scalable, production-ready enterprise solutions.
- Problem-Solving & Ownership: Strong analytical skills, proactive ownership, and ability to troubleshoot complex technical challenges.
- Communication & Collaboration: Effective communication, cross-functional collaboration, and ability to work with technical and business stakeholders. Strong understanding of Responsible AI, AI security, governance, model evaluation, and enterprise compliance considerations.
- Demonstrated innovation, continuous learning, and mentoring with the ability to drive AI solutions from proof of concept through production and enterprise adoption.
Why Cisco?
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.
Disclaimer
To ensure that we hire the best talent in the right way, we follow a strict hiring process and recently, Cisco has been made aware of fraudulent recruiters claiming to be from the company. Please be advised that any communication from Cisco about careers will:
- be in direct response to an application you have submitted through the company career site
- begin with screening or an interview
- originate from a Cisco email address, and
- be conducted across email, phone, or WebEx
Cisco will never make a job offer without conducting an interview process or ask you for money in any way. If you have been requested to apply for a role or have received an offer from a site other than https://careers.cisco.com or cisco.wd5.myworkday.com, do not provide any personal identifying information, including your Aadhaar or other personal identifying number, birth certificate, banking information, driver's license, or passport.
If you are the target of a recruiting scam, consider filing a report with your local law enforcement authorities. Cisco bears no responsibility, and cannot be held liable, for any claims, damages, expenses, or other inconvenience resulting from or in any way connected to recruiting scams.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a workflow you automated with AI tools, end to end.
- How do you decide that one model's output is better than another's for a given task?
- How do you think about the risk of an AI system in this kind of role failing silently?
Adapt your resume
- List these exact terms on your resume: Rag, AI Agents, AI Automation, AI Evaluation, and AI Safety. 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.
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