Network Platform Data Science Engineer

Cisco is seeking a Network Platform Data Science Engineer to join the Network Platform Data Science team. The team helps turn Cisco's rich, multifaceted customer and network data into smarter decisions, improved customer experiences, and faster innovation. 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. Benefits: Medical, dental and vision insurance 401(k) plan with a Cisco matching contribution Paid parental leave Short and long-term disability coverage Basic life insurance Paid time away (vacation, holidays, sick time) Optional 10 paid days per full calendar year to volunteer Salary Range: $167,700.00 - $245,200.00 per year (U.S. and/or Canada locations) Job Data by YubHub .