Data Engineer Remote

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.

S&TO

** 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.

** Message to applicants applying to work in the U.S. and/or Canada:*
* The starting salary range posted for this position is $ to $ 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…