# Senior Data Engineer, Network Platform at Cisco

Cisco is hiring a Senior Data Engineer, Network Platform for a remote role open to applicants in United States. It pays $168k-$245k a year and Level rates it Works on AI ●●●○; you can [apply on Cisco](https://jobsbylevel.com/go/1c9f7aef-4562-44f2-a3b9-7cc1fa49a0b7?utm_medium=ai-agent).

AI Level 3, AI centrality 65 out of 100. Remote (Remote - California, USA).

## Details

- Company: [Cisco](https://jobsbylevel.com/companies/cisco)
- AI level: AI Level 3 (score 65 out of 100)
- Location: Remote (Remote - California, USA)
- Salary: $168k-$245k
- Posted: November 7, 2026
- Apply: https://jobsbylevel.com/go/1c9f7aef-4562-44f2-a3b9-7cc1fa49a0b7?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-data-engineer-network-platform-at-cisco-879a4d

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/senior-data-engineer-network-platform-at-cisco-879a4d

## Description

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.” Your Impact 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. Minimum Qualifications Bachelor’s degree + 7 years of related experience, or Masters 3+ years of related experience, or PHD +1 year of related experience 5+ years advanced SQL including data modeling, complex transformations, and query performance tuning. 5+ years Python building production data pipelines/services with automated testing and maintainable code. 3+ years of Snowflake building, optimizing, and operating production data workloads (Postgres experience is a plus). Experience with distributed processing and orchestration (e.g., Spark and Airflow/Glue or equivalent) plus engineering practices across CI/CD, access controls, data quality, observability, incident response, or cost management. Preferred Qualifications Experience building trusted data context layers (metric semantics, lineage, quality/freshness ownership, governed access) integrated with catalog/governance systems. Experience applying AI tools/agents to scoped data engineering work (pipeline validation/bug triage), including evaluating outputs and grounding them in trusted context while managing data access and operational risk. Demonstrated ability to influence architecture across teams and communicate trade-offs while mentoring engineers and growing technical capability. 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. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/senior-data-engineer-network-platform-at-cisco-879a4d

Source: https://jobsbylevel.com/jobs/senior-data-engineer-network-platform-at-cisco-879a4d

## Cite this page

Level. https://jobsbylevel.com/jobs/senior-data-engineer-network-platform-at-cisco-879a4d.

Get job alerts: https://jobsbylevel.com/newsletter