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Cisco Systems, Inc. is seeking a Senior Data Engineer to design and manage reliable batch and streaming data pipelines at massive scale. You will define data quality, freshness, and observability while leading incident response and cost controls.
You will build a trusted data context layer with business definitions, ownership, and lineage, integrating with catalog and governance systems. Experience with AI-assisted data workflows is a plus.
The application window is expected to close on: 01/29/2027
Meet the Team Cisco is reimagining how IT infrastructure is managed through secure, cloud-managed solutions.
The Network Platform Data Science team helps turn Cisco’s rich, multifaceted customer and network data into smarter decisions, improved customer experiences, and faster innovation. You’ll partner across Engineering, Product, Security, UX, Finance, Licensing, and other teams to deliver data platforms and products that are reliable, governed, and ready for AI to use accurately. The environment is at massive scale (10 PB+ across 30+ systems) and blends data engineering rigor with trusted data context—so teams can move from “data exists” to “data is trusted and actionable.”
You will set technical direction for reliable, scalable batch and streaming pipelines and data products across structured and unstructured data.
You will define and continuously improve expectations for data quality, freshness, availability, observability, recovery, and cost, then lead production incident investigations to deliver lasting fixes.
You will build and evolve a trusted, machine-readable data context layer—covering business definitions, metric semantics, ownership, lineage, quality/freshness, and governed access integrated with existing catalog/governance systems.
You will apply AI and agentic workflows to well-scoped data engineering needs (pipeline development, validation, and bug triage), including evaluating results and using bounded permissions with human review for production‑changing actions.
Success means the organization has a trusted data foundation that scales, is observable and recoverable, reduces “definition drift,” and helps teams—including AI applications—use data accurately and confidently.
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.
Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $167,700.00 to $245,200.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job‑related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.
The full salary ranges for this position, by specific state, are listed below:
Cisconians power the future. We make impact as a team, innovating fast and fearlessly to create meaningful solutions on a large scale. The depth and breadth of our technology doesn't just benefit our customers – it also means limitless opportunities for us to experiment and learn. We understand the power each of our unique backgrounds bring when we work together. Because of that, we have a global network of thinkers, doers, experts, and curious creators who help one another do their life’s best work.