below marketmost similar roles pay hereabove market
This role pays less than
84%
of similar roles. Most pay
$126,800–$211,200
— the blue band above.
At the midpoint, this role pays about
$125k
versus about
$169k
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
307 open roles
on FindRole.
Listed pay typically runs
$167,700–$245,000
across 224 roles with salary data.
The Data Engineer joins the Attack Surface Management team to manage security data infrastructure. This role involves designing, building, and maintaining robust data pipelines that ingest and normalize security data from diverse sources like asset inventory, vulnerability scanners, cloud providers, and identity systems. The engineer will own the data ingestion and attribution layer, implementing entity resolution and ownership assignment rules as version-controlled code to ensure every asset is accurately traced. Key responsibilities include establishing data quality monitoring, developing automated correlation logic for complex infrastructure, and providing query support for security program decisions. Required skills include proficiency in Python, SQL, REST APIs, and semi-structured data like JSON and YAML. The role also requires experience with Git-based workflows, CI/CD, and applying AI/ML to data analysis and correlation tasks.
What does a Data Engineer earn?
Median $159000 from 203 postings across 58 companies.
Design, build, and maintain robust data pipelines to ingest and normalize security data from diverse sources.
Own the data ingestion and attribution layer to ensure every asset and vulnerability is accurately traced to its owner.
Implement entity resolution and ownership assignment rules as version-controlled code.
Establish data quality monitoring to detect anomalies, missing data, or correlation failures.
Develop automated correlation logic for complex infrastructure scenarios where conventional identification keys fail.
Provide query support, reporting, and executive metrics to drive security program decisions.
Apply AI and machine learning techniques to data analysis and correlation tasks.
What we're looking for
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.
Exposure to security data domains such as vulnerability management, asset inventory, CMDB, or SIEM (preferred).
Experience with pipeline orchestration tools (e.g., Airflow, Dagster) and transformation frameworks (e.g., dbt) (preferred).
Familiarity with graph data models, relationship-based asset modeling, or AI/ML-driven data analysis (preferred).
Data Engineering
ETL
AWS
Azure
AI/ML
Data Pipelines
Data Governance
Data Normalization
Dashboards
Metrics
Exploratory Analysis
Feature Development
IoT
Machine Learning