Senior Data Engineer, Network Platform

Cisco

. Set technical direction for reliable, scalable batch and streaming pipelines and data products .

Posted 11/8/2026full-timeRemote • United StatesSenior💰 $167,700 - $245,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and optimizing production data pipelines using Python and SQL, while ensuring data quality and observability. Capable of integrating data context layers with governance systems and applying AI tools to enhance data engineering workflows.

Highest-signal resume keywords

Advanced SQLPython Data Pipeline DevelopmentSnowflake OptimizationDistributed Processing (Spark, Airflow/Glue)CI/CD Engineering Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Advanced SQLPythonData ModelingComplex TransformationsQuery Performance TuningSnowflakeDistributed ProcessingOrchestrationData QualityIncident Response

Soft Skills

MentoringCommunicationInfluencing Architecture

Tools & Technologies

SparkAirflowGlueCI/CD ToolsGovernance Systems

Industry Keywords

Data QualityObservabilityData Context LayerAutomated TestingCost Management

Tech Stack

Tools & technologies

AirflowPythonSnowflakeSparkSQL

About the role

Key responsibilities & impact

Set technical direction for reliable, scalable batch and streaming pipelines and data products
Work across structured and unstructured data
Define and continuously improve expectations for data quality, freshness, availability, observability, recovery, and cost
Lead production incident investigations and deliver lasting fixes
Build and evolve a trusted, machine-readable data context layer
Cover business definitions, metric semantics, ownership, lineage, quality/freshness, and governed access
Integrate the data context layer with existing catalog and governance systems
Apply AI and agentic workflows to pipeline development, validation, and bug triage
Evaluate AI and agentic workflow results and use bounded permissions with human review for production-changing actions
Deliver a trusted data foundation that scales, is observable and recoverable, reduces definition drift, and enables accurate data use by teams and AI applications
Partner across Engineering, Product, Security, UX, Finance, Licensing, and other teams

Requirements

What you’ll need

Bachelor’s degree + 7 years of related experience, or Master’s + 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
Experience with distributed processing and orchestration, such as Spark and Airflow/Glue or equivalent
Engineering practices across CI/CD, access controls, data quality, observability, incident response, or cost management
Preferred: experience building trusted data context layers integrated with catalog/governance systems
Preferred: experience applying AI tools/agents to scoped data engineering work
Preferred: ability to influence architecture across teams, communicate trade-offs, mentor engineers, and grow technical capability

Benefits

Comp & perks

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
Cisco restricted stock unit grants may be available
10 paid holidays per full calendar year
1 floating holiday for non-exempt employees
1 paid birthday day off
Paid year-end holiday shutdown
4 paid personal wellness days
16 days of paid vacation for non-exempt employees
Flexible vacation time off program for exempt employees
80 hours of sick time off provided on hire date and each January 1st
Up to 80 hours of unused sick time carried forward
Additional paid time away for critical or emergency family issues
Optional 10 paid volunteer days per full calendar year
Annual bonuses for non-sales roles, subject to Cisco’s policies
Opportunities to grow and build
Worldwide network of experts and team collaboration