Data Engineer

Cisco

Remote Hybrid

Quick summary

Work type
Remote
Location
Research Triangle Park, NC
Salary
$137,000–$200,500 / yr
Posted
1 day ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $163k
This role $169k
$115k most similar roles pay here $210k

This role pays more than 55% of similar roles. Most pay $126,800–$199,850 — the shaded band above. At the midpoint, this role pays about $169k versus about $163k 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 179 open roles on FindRole.

Listed pay typically runs $165,000–$241,400 across 179 roles with salary data.

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View all roles at Cisco

At a glance

TL;DR · Data Engineer

As a Data Engineer at Cisco’s Sales and Renewals team, you will design and optimize end-to-end data pipelines and AI systems to enable real-time dashboards and actionable insights for enterprise-scale analytics. Your responsibilities include transforming ETL workflows with machine learning automation and building multi-agent AI systems to monitor critical metrics across platforms like SAP HANA, Snowflake, DBT, and Elastic. You must have at least five years of experience in data engineering or software development, proficiency in SQL (Snowflake, Teradata), Python, Java, Scala, and familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform. Preferred qualifications include deploying AI/ML solutions in enterprise environments, expertise in vector databases, RAG, semantic search, prompt engineering, model fine-tuning, and experience with responsible AI practices and MLOps tools like Kubeflow.

What you'll do

  • Design and develop end-to-end data pipelines for real-time dashboards.
  • Optimize ETL workflows using machine learning automation techniques.
  • Build multi-agent AI systems to monitor critical business metrics.
  • Implement scalable data storage solutions on platforms like SAP HANA.
  • Develop high-performance data retrieval services across cloud platforms.
  • Lead the transformation of traditional data engineering practices with AI.

What we're looking for

  • Minimum 5 years of experience in data engineering or software development.
  • Proficiency in SQL (Snowflake, SAP HANA), Python, Java, and related technologies.
  • Strong understanding of database systems, data modeling, and cloud platforms.
  • Experience deploying AI/ML solutions in enterprise production environments.
  • Expertise in vector databases, semantic search, generative AI, and prompt engineering.

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