Data Engineer

Cisco

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Raleigh, NC
Salary
$128,600–$184,900 / yr
Employment
Full-time
Posted
1 day ago
Freshness
Confirmed live today
Closes
Oct 23, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $166k
This role $157k
$117k most similar roles pay here $216k

This role pays less than 59% of similar roles. Most pay $126,800–$206,112 — the shaded band above. At the midpoint, this role pays about $157k versus about $166k for comparable roles.

Based on 240 similar postings.

Employer

About Cisco

Cisco Systems is the world''s leading networking technology company, designing and manufacturing networking hardware, telecommunications equipment, and cybersecurity solutions for businesses and governments. Industry: Networking Technology & Cybersecurity

Cisco currently has 240 open roles on FindRole.

Listed pay typically runs $167,700–$245,200 across 187 roles with salary data.

Most-posted roles

View all roles at Cisco

At a glance

TL;DR · Data Engineer

Data Engineer The Data Engineer joins the Customer Asset Data Foundation team within the Data and Analytics organization to build an AI-augmented data platform. This role involves designing, developing, and maintaining scalable, testable, and AI-native data pipelines that power critical infrastructure for customer assets, including install bases, service agreements, and contracts. Day-to-day responsibilities include implementing dbt models, optimizing pipeline performance for cost-efficiency, writing production-grade SQL and Python scripts for automation, and building data quality frameworks to ensure reliable metrics for executive reporting. The role requires expertise in Snowflake environments, advanced dbt features like Jinja templating and macros, and sophisticated SQL techniques such as window functions and recursive CTEs. Additionally, the engineer will use Python libraries like pandas or FastAPI to perform data wrangling and develop custom models while ensuring secure coding practices across all systems.

What does a Data Engineer earn?

Median $162000 from 195 postings across 59 companies.

See salary data

What you'll do

  • Design, develop, and maintain scalable, testable, and AI-native data pipelines.
  • Build and implement dbt models including architecture and organizational configurations.
  • Write production-grade SQL and Python scripts for data transformation and automation.
  • Optimize data pipelines to improve performance and cost-efficiency while meeting SLAs.
  • Build and maintain data quality frameworks to ensure reliable metrics for executive reporting.
  • Create data structures that enable LLM-generated insights and integrate AI-native tools.
  • Develop custom data models and perform statistical analysis to uncover meaningful patterns.
  • Design monitoring features to supervise pipeline quality and performance.

What we're looking for

  • 4+ years of experience in data or analytics engineering.
  • Experience owning production-grade Snowflake environments including query optimization, RBAC, and schema design.
  • Intermediate to sophisticated skills in dbt, including incremental models, macros, Jinja templating, snapshot strategies, and test frameworks.
  • Expert-level SQL proficiency with window functions, recursive CTEs, complex aggregations, and query profiling.
  • Intermediate Python skills for pipeline scripting, ETL/ELT automation, and data wrangling using libraries like pandas or FastAPI.
  • Experience designing enterprise-scale data architectures including dimensional modeling and parametric configuration.

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