AI-Driven Security Data Engineer

State Street Corporation

Quincy (MA)

Hybrid

USD 120,000 - 203,000

Full time

6 days ago
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Benefits offered by this job

Health insurance
401K with company match
Paid time off

Job summary

State Street Corporation is seeking a Security Data Solutions Engineer for its CyberDNA team to shape cybersecurity data platforms, analytics, and AI-powered solutions. You will collaborate with Global Cyber Security and Infrastructure teams to enable faster, AI-driven threat detection and response.

Responsibilities include designing telemetry, onboarding data, and building scalable data ingestion across on‑prem, cloud, and SaaS environments, while ensuring quality, governance, and operational

Qualifications

  • Bachelor’s degree in computer science or related field.
  • 8+ years in cybersecurity data engineering or related fields.
  • Hands-on with enterprise data products and data lakes.

Responsibilities

  • Serve as SME for security data solutions across SIEM and analytics.
  • Collaborate to define data requirements, roadmaps, and KPIs.
  • Design telemetry for on‑prem/cloud/hybrid environments.
  • Define onboarding/normalization strategies for data sources.
  • Lead data ingestion, routing, transformation, and enrichment patterns.
  • Ensure data quality, timeliness, and governance for security data.

Skills

SIEM engineering
Data engineering
Python
SQL
Databricks
Snowflake
Kafka
Cloud platforms

Education

Bachelor’s degree in CS
Master’s degree

Tools

Splunk
Microsoft Sentinel
QRadar
Elastic
Cribl
OpenTelemetry
FluentBit
Databricks

Job description

State Street Corporation is seeking a Security Data Solutions Engineer for its CyberDNA team to shape cybersecurity data platforms, analytics, and AI-powered solutions. You will collaborate with Global Cyber Security and Infrastructure teams to enable faster, AI-driven threat detection and response.

Responsibilities include designing telemetry, onboarding data, and building scalable data ingestion across on‑prem, cloud, and SaaS environments, while ensuring quality, governance, and operational

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