Data Engineer

Cisco

Remote

Quick summary

Work type
Remote
Location
Research Triangle Park, NC
Salary
$137,000–$200,500 / yr
Posted
1 day ago
Closes
Jun 30, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $163k
This role $169k
$118k most similar roles pay here $209k

This role pays more than 55% of similar roles. Most pay $126,800–$199,800 — 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 186 open roles on FindRole.

Listed pay typically runs $165,000–$241,400 across 186 roles with salary data.

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View all roles at Cisco

At a glance

TL;DR · Data Engineer

As a Senior Data Architect at Cisco, you will join a forward-thinking team dedicated to transforming raw data into actionable intelligence through cutting-edge AI and machine learning technologies. Your role involves designing and deploying scalable data architectures and pipelines for high-volume datasets, ensuring data quality and usability across the organization. You will collaborate closely with data scientists and business leaders to develop robust reporting and visualization solutions that link data insights to business outcomes. Additionally, you will maintain data integrity and security by implementing rigorous validation and compliance standards in a cloud environment using tools like Snowflake, DBT, and Teradata. This role requires extensive experience in building data architectures, scaling data pipelines with cloud services, and leveraging AI for data transformation, along with proficiency in scripting languages such as Shell Scripting.

What you'll do

  • Design and deploy scalable data architectures to process high-volume datasets.
  • Develop AI-driven tools to automate complex workflows and enhance efficiency.
  • Ensure data quality and usability by leading projects from technical design to completion.
  • Implement rigorous validation and threat modeling standards for data security.
  • Translate intricate business requirements into robust reporting solutions.
  • Maintain the integrity of a data lake through compliance with strict standards.

What we're looking for

  • 7+ years of experience in data architecture and management for both structured and unstructured data.
  • 5+ years of proficiency in developing and scaling data pipelines using cloud services and relational databases.
  • 3+ years of experience leveraging AI, machine learning, or big-data techniques for data transformation.
  • Proficiency in scripting languages with the ability to write functional code and unit tests.
  • Experience maintaining data integrity and security through rigorous validation and compliance standards.

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