CiscoHiring

Data Engineer

  • Remote, United States
  • Mid-level
  • Posted 6 days ago
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In one line

Remote data engineering role on a security team, owning pipelines that pull from over 120 sources and tie each asset and vulnerability to its owner.

About the role

The team works on noisy security data that needs normalising and correlating, and is moving toward AI-assisted analysis to solve attribution at scale.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Mid-level
Skills
Python, SQL, ETL, REST APIs, JSON, Git, CI/CD, Airflow
Posted
23 Oct 2026
Last checked
27 Oct 2026

What you will do

  • Build and run pipelines that ingest and normalise security data from many sources
  • Code the attribution layer, with entity resolution and ownership rules kept in version control
  • Set up data quality checks that catch anomalies, gaps and correlation failures early
  • Write correlation logic for infrastructure cases where standard keys do not work
  • Support analysts and leaders with queries, reporting and executive metrics

What they look for

  • Three or more years of experience, with strong Python and SQL and clean code habits
  • Hands-on ETL or ELT work using REST APIs and semi-structured data such as JSON and YAML
  • Familiarity with Git workflows, CI/CD and data modelling, plus applied AI or ML use

Nice to have

  • Orchestration tools like Airflow or Dagster, and dbt
  • Graph data models or relationship-based asset modelling
  • Cloud platforms and infrastructure as code

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Claude

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Connector URL
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ChatGPT

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Connector URL
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Muse

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Message for Muse
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Muse is available in the US only for now.

Prompt
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How to connect

Questions about this job

Can I do this job remotely, and from which countries?

Yes. The posting lists Data Engineer as a remote role for candidates in the United States.

What does this job pay?

No pay range is stated in the posting.

What experience is needed?

It is a mid-level role. The posting asks for: three or more years of experience, with strong Python and SQL and clean code habits; hands-on ETL or ELT work using REST APIs and semi-structured data such as JSON and YAML; familiarity with Git workflows, CI/CD and data modelling, plus applied AI or ML use. Skills it names include Python, SQL, ETL, REST APIs.

How do I apply with Keywordise AI?

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