Staff Security Engineer, Data Science Engineering

nscaleoperationsukltd

United States

Hybrid

USD 190,000 - 230,000

Full time

14 days+

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Benefits offered by this job

Flexible work
Potential bonus
Equity
Medical
Dental
Vision
Paid time off
Parental leave
Retirement benefits

Job summary

nscaleoperationsukltd is seeking a hands-on security data engineer to build dependable data foundations for defenders. You will handle telemetry collection, data quality, behavioral analysis, and practical detection work, focusing on visibility of uncertainty and coverage gaps for responders.

You will inventory data sources, develop batch and streaming pipelines, monitor quality, and support incident investigations with defensible timelines.

Qualifications

  • Hands-on experience with data pipelines, schemas, and security analysis.
  • Ability to communicate data coverage gaps clearly to analysts, engineers, and leaders.
  • Ability to work with source-system owners to agree on access, schemas, and collection schedules.
  • A practical approach to creating repeatable methods for the wider team.

Responsibilities

  • Inventory security data sources and document ownership, collection methods, freshness, coverage limits, and gaps.
  • Build and operate batch and streaming pipelines from APIs, event streams, object stores, and internal systems, with support for detecting partial or late data, schema changes, backfills, and replay.
  • Monitor data quality, including completeness, freshness, duplicates, schema drift, and consistency; route issues to accountable owners.
  • Develop and evaluate behavioral baselines, anomaly analysis, and correlations across sources with Security Operations to improve signals.
  • Support incident investigations with defensible timelines and scope, turning analysis into repeatable queries or detections.
  • Prepare data sets for AI-assisted analysis with proper access controls, provenance, freshness indicators, and safe handling of missing data.

Skills

Data pipelines
Schemas
Security analysis
Communication
Incident investigations

Job description

Role overview

Build dependable security data foundations and use them to help defenders detect and investigate threats. This hands‑on individual contributor role spans telemetry collection, data quality, behavioral analysis, and practical detection work, with a focus on making uncertainty and coverage gaps visible to security responders.

Responsibilities
  • Inventory security data sources and document ownership, collection methods, freshness, coverage limits, and gaps.
  • Build and operate batch and streaming pipelines from APIs, event streams, object stores, and internal systems, with support for detecting partial or late data, schema changes, backfills, and replay.
  • Monitor data quality, including completeness, freshness, duplicates, schema drift, and consistency; route issues to accountable owners.
  • Develop and evaluate behavioral baselines, anomaly analysis, and correlations across sources, working with Security Operations to improve or retire signals based on outcomes.
  • Support incident investigations with defensible timelines and scope, turning useful analysis into repeatable queries or detections.
  • Prepare documented datasets for AI-assisted analysis with appropriate access controls, provenance, freshness indicators, and safe handling of missing data.
Requirements
  • The available source emphasizes hands‑on experience with data pipelines, schemas, and security analysis, but does not include the full qualifications section.
  • Ability to communicate data coverage gaps, uncertainty, and findings clearly to analysts, engineers, and leaders.
  • Ability to work with source‑system owners to agree on access, schemas, and collection schedules.
  • A practical approach to making repeatable methods that help the wider team work independently.
Nice to have
  • Experience with multi‑tenant cloud or AI infrastructure, graph‑based entity resolution, privacy‑sensitive data governance, or data foundations for AI‑assisted analysis.
Benefits and work setup
  • Flexible work
  • Potential bonus and equity
  • Medical
  • Dental
  • Vision
  • Paid time off
  • Parental leave
  • Retirement benefits

Compensation is listed as a US base salary range of $190,000–$230,000.

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