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Staff Analytics Engineer

Dragos · United States · Remote · Active · $192,000 / year · Greenhouse

Job facts

FieldValue
CompanyDragos
TitleStaff Analytics Engineer
Normalized title-
Department / teamContent
LocationUnited States
Work modelRemote / Remote
Employment type-
Salary$192,000 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2025-08-27 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Dragos.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Content.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyDragos
Source9f541e24-3149-4c73-95fa-5be36e818bb5
ATS providerGreenhouse

Description

Dragos is on a relentless mission to defend industrial organizations that provide us with the necessities of modern civilization; running water, functioning electricity, and safe industrial working environments. As the market leader in ICS/OT Cybersecurity, we are dedicated to arming our customers with best-in-class technology, threat intelligence, and services to protect their systems as effectively and efficiently as possible. We’re a remote-first culture with operations in North America, Europe, the Middle East, and APAC. We’re looking for mission-oriented teammates who embody our core values of authenticity, transparency, and trust. Are you ready to make a difference? Come join a mission that can save the world! About the Role Dragos is seeking a highly skilled Analytics Engineer to join our Content creation team . The ideal candidate will play a pivotal role in enhancing the security of operational technology (OT) environments. Collaborating closely with our team of expert protocol reverse engineers and developers, this person will be responsible for the identification and classification of OT assets. This critical function supports the development of comprehensive vulnerability mappings and the advancement of threat detection capabilities. Responsibilities Participate in efforts for discovering and cataloging OT assets using advanced detection methodologies. Work in tandem with reverse engineers to decipher proprietary protocols and uncover asset attributes using vendor documentation and protocol specifications. Partner with developers to integrate findings into Dragos’s threat detection and response platform. Contribute to the creation of detection logic and rules for real-time threat monitoring of atomic operations. Troubleshoot and fix both internal engine configurations and python analytics use for asset identification and atomic operations. Develop and document team CI/CD and testing standards, authoring unit, integration, and end two end tests to verify characterizations and detections are working as expected. Collect PCAPs using OSINT, Generate PCAPs utilizing test range, or craft PCAPs utilizing software to use in both detection development and regression testing. Qualifications 4 years in a production software development environment, with 2 years of experience with python development. 6+ years in cyber security related field; operations, threat hunting, detection development, offensive operations, threat emulation, security research, or security tool development. Experience with analysis of network packet captures (PCAPs) and traffic using tools such as Wireshark and Network Miner. High level of experience using Suricata, Wireshark/tshark for network packet capture (PCAPs) analysis, and SIEM tools. Familiarity with containerized solutions for debugging. A solid understanding of both Linux and windows command line tools for debugging. A Strong ability to conduct open-source research. Experienced with git (or other software version control solutions). ICS/OT knowledge and experience. Experience developing in Rust or applying AI/ML techniques in production environments is a plus. Familiarity with building data pipelines using Python and cloud platforms (AWS, GCP, or Azure), along with SQL, data normalization, and data warehousing experience is beneficial. Exposure to OT technologies, such as PLC programming or HMI configuration, is nice to have. Knowledge of tools like Zeek or Yara for threat detection or network analysis is helpful. Experience with the ELK stack (Elasticsearch, Logstash, Kibana) for log and event analysis is a plus. Experience incorporating AI tools, models, or services into development workflows Compensation Base Salary: $192,000 Competitive Equity Package Comprehensive Benefits plan #LI-NH1 #LI-REMOTE Dragos is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under federal, state, or local laws. All new hires must pass a background check as a condition of employment.

Full job record

Job ID29fe2ed8cc83340e737b6a0401c837ed68461bb4
Org IDf07e87d1-ac36-4625-829d-dbe1b140c75c
Source ID9f541e24-3149-4c73-95fa-5be36e818bb5
Board ID9f541e24-3149-4c73-95fa-5be36e818bb5
Providergreenhouse
Provider Job Key4897029008
TitleStaff Analytics Engineer
Normalized Title
Statusactive
Activeyes
Location TextUnited States
DepartmentContent
Team
Employment Type
Workplace Typeremote
Remote Policyremote
CountryUnited States
Region
City
Salary RawCompensation Base Salary: $192,000 Competitive Equity Package Comprehensive Benefits plan #LI-NH1 #LI-REMOTE Drago
Salary Min192,000
Salary Max
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://job-boards.greenhouse.io/dragos/jobs/4897029008
Apply URLhttps://job-boards.greenhouse.io/dragos/jobs/4897029008
First Seen At2026-05-29 23:01:37Z
Last Seen At2026-06-06 07:34:25Z
Last Checked At2026-06-06 07:34:25Z
Last Changed At2026-05-29 23:01:37Z
Inactive At
Source Posted At2025-08-27 01:55:20Z
Source Updated At2026-05-15 14:27:35Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=dragos/date=2026-06-06/2026-06-06T07-34-25-251Z-3ec89b751a09a432ede1e0e6d9146194a4be08cdb5a3013eedf7e8deebd7cb76.json
Event Fields
{
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  "source_hash": "8341511aa7f5279becccfa4aeaa083a5a17d12d749c8862705de79205e3317a6",
  "last_changed_at": "2026-05-29T23:01:37.800Z",
  "active_status": "active"
}
Parsed Structured
{
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  "location": {
    "raw": "United States",
    "city": null,
    "region": null,
    "country": "United States",
    "is_remote": true,
    "confidence": 0.95
  },
  "salary_max": null,
  "salary_min": 192000,
  "inferred_at": "2026-06-06T07:34:25.396Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "United States",
      "city": null,
      "region": null,
      "country": "United States",
      "is_remote": true,
      "confidence": 0.95
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "remote",
  "salary_period": "year",
  "workplace_type": "remote",
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
{
  "title": "Staff Analytics Engineer",
  "offices": [
    {
      "id": 4037562008,
      "name": "Dragos USA",
      "location": null,
      "child_ids": [],
      "parent_id": null
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  ],
  "language": "en",
  "location": {
    "name": "United States"
  },
  "metadata": [],
  "updated_at": "2026-05-15T10:27:35-04:00",
  "departments": [
    {
      "id": 4045742008,
      "name": "Content",
      "child_ids": [],
      "parent_id": 4044793008
    }
  ],
  "company_name": "Dragos",
  "requisition_id": 4325526008,
  "first_published": "2025-08-26T21:55:20-04:00",
  "application_deadline": null
}
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