Data Engineer Remote

Cisco Systems, Inc; North Carolina; Remote; USD 103,000 - 147,000; Full time

Job summary

Cisco Systems, Inc. is seeking a Data Engineer specializing in security data pipelines to join a US remote team. You will own ingestion and attribution layers, build robust ETL/ELT pipelines, and collaborate with analysts to deliver actionable security metrics.

This role emphasizes AI/ML-driven data analysis and scalable data architectures. You will design data quality monitoring, implement entity resolution, and work with cloud platforms and CI/CD workflows to ensure reliable data flows across

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field plus 3+ years of relevant experience.
• Proficiency in Python and SQL with a proven ability to write clean, maintainable code.
• Demonstrated experience building and operating ETL/ELT pipelines using REST APIs and semi-structured data (JSON, YAML).
• Experience with Git-based workflows, CI/CD, and data modeling standard processes.
• Proficiency in AI/ML usage, including the ability to apply AI to data analysis and correlation tasks.

Responsibilities

• Design, build, and maintain robust data pipelines that ingest and normalize security data from a diverse array of sources (e.g., asset inventory, vulnerability scanners, cloud providers, and identity systems).
• Operate and improve the attribution layer by implementing entity resolution and ownership assignment rules as version-controlled code.
• Establish data quality monitoring to detect anomalies, missing data, or correlation failures, ensuring high visibility before issues impact end-users.
• Develop automated correlation logic for complex infrastructure scenarios where conventional identification keys fail.
• Collaborate with analysts and leadership to provide query support, reporting, and executive metrics that drive security program decisions.

Skills

Python

SQL

REST APIs

ETL/ELT pipelines

Git workflows

CI/CD

AI/ML usage

Education

Bachelor’s degree in CS/Data Engineering/related field

Master’s degree in related field

Tools

Airflow

Dagster

dbt

AWS

Azure

GCP

Job description

The application window is expected to close on: 10/30/2026 This is a US remote role

Meet the Team

The Attack Surface Management team is mission-critical to our security infrastructure. We aggregate, normalize, and correlate security data from over 120 sources to provide a unified view of our environment. Our team focuses on data ingestion, service uptime, and providing the actionable intelligence required to maintain our security posture. We are currently evolving our capabilities to incorporate AI-driven analysis to solve complex attribution challenges at scale.

Your Impact

In this role, you will become the Domain Expert for our data pipelines, moving us from reactive monitoring to proactive, data-driven security. You will own the data ingestion and attribution layer, ensuring that every asset and vulnerability is accurately traced to its owner, business unit, and criticality tier. This role is highly impactful, as it directly bridges the gap between raw, noisy security data and actionable findings, ultimately reducing our Mean Time to Remediation (MTTR). You will also have the opportunity to influence our transition toward AI-augmented data analysis and automated correlation.

Responsibilities

• Design, build, and maintain robust data pipelines that ingest and normalize security data from a diverse array of sources (e.g., asset inventory, vulnerability scanners, cloud providers, and identity systems).
• Operate and improve the attribution layer by implementing entity resolution and ownership assignment rules as version-controlled code.
• Establish data quality monitoring to detect anomalies, missing data, or correlation failures, ensuring high visibility before issues impact end-users.
• Develop automated correlation logic for complex infrastructure scenarios where conventional identification keys fail.
• Collaborate with analysts and leadership to provide query support, reporting, and executive metrics that drive security program decisions.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field plus 3+ years of relevant experience, or a Master’s degree in a related field.
• Proficiency in Python and SQL with a proven ability to write clean, maintainable code.
• Demonstrated experience building and operating ETL/ELT pipelines using REST APIs and semi-structured data (JSON, YAML).
• Experience with Git-based workflows, CI/CD, and data modeling standard processes.
• Proficiency in AI/ML usage, including the ability to apply AI to data analysis and correlation tasks.

Preferred Qualifications

• Exposure to security data domains such as vulnerability management, asset inventory, CMDB, or SIEM.
• Experience with pipeline orchestration tools (e.g., Airflow, Dagster) and transformation frameworks (e.g., dbt).
• Familiarity with graph data models, relationship-based asset modeling, or AI/ML-driven data analysis.
• Cloud platform experience (AWS, Azure, GCP) and Infrastructure-as-Code (IaC) principles.
• Experience operating within large-scale, federated, or decentralized enterprise environments.

Why Cisco?

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you.

Salary & Benefits

• The starting salary range posted for this position is $103,200.00 to $146,800.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.
• Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training.
• The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.
• U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance.
• Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.
• U.S. employees are eligible for paid time away as described below, subject to Cisco’s policies:
• 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees
• 1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco
• Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees
• Exempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)
• 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next Additional paid t