Senior SIEM Data Engineer

State Street

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Quincy, MA
Posted
42 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $176k
$129k most similar roles pay here $222k

This listing doesn't post a salary. Most similar roles pay $139,075–$212,625.

Based on 240 similar postings.

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About State Street

State Street Corporation is one of the world''s largest custodian banks and asset managers, providing investment servicing, investment management, and investment research to institutional investors. Industry: Financial Services & Asset Custody

State Street currently has 176 open roles on FindRole.

Listed pay typically runs $120,000–$202,500 across 172 roles with salary data.

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At a glance

TL;DR · Senior SIEM Data Engineer

As a Senior SIEM Data Engineer within the Cyber Data & Analytics team, you will lead the design, onboarding, transformation, and operational support of cybersecurity telemetry and enterprise log data. You will build scalable pipelines across hybrid and multi-cloud environments to ensure high-quality data is delivered to platforms like Splunk and Databricks for security monitoring and incident response. Your daily work involves analyzing source logs, optimizing pipelines for parsing and enrichment, and ensuring data quality through rigorous validation of schema consistency and latency. You will utilize tools such as Cribl Stream, SQL, Python, PySpark, and Shell while implementing CI/CD and infrastructure-as-code practices. This role solves the critical challenge of transforming diverse raw telemetry from network, cloud, and identity sources into actionable intelligence for threat detection and cyber data science use cases.

What you'll do

  • Design, build, and maintain scalable SIEM and security telemetry pipelines across hybrid and multi-cloud environments.
  • Lead the onboarding of diverse security telemetry from applications, infrastructure, network devices, and cloud services.
  • Build and optimize pipelines for parsing, filtering, masking, enrichment, normalization, and multi-destination routing.
  • Deliver high-quality, validated security data to platforms such as Splunk and Databricks.
  • Establish and maintain onboarding standards, including taxonomy alignment, schema mapping, and data quality controls.
  • Perform root cause analysis and provide second-line-of-defense support for complex ingestion and data flow issues.
  • Automate deployment, monitoring, and testing using CI/CD and infrastructure-as-code practices.
  • Mentor junior engineers and drive operational maturity in security telemetry engineering.

What we're looking for

  • Bachelor's or Master's degree in a technical field such as Computer Science, Cybersecurity, or Data Engineering.
  • 8+ years of experience in SIEM engineering, cybersecurity data engineering, or large-scale log onboarding.
  • 3+ years of experience with Cribl Stream or similar data pipeline technologies like Fluent Bit, Kafka, or Vector.
  • 2+ years of experience with Databricks or other large-scale analytics and lakehouse platforms.
  • Proficiency in querying and transforming data using SPL, SQL, Spark SQL, Python, PySpark, Shell, or PowerShell.
  • Experience designing and managing security telemetry pipelines across hybrid and multi-cloud environments.
  • Expertise in SIEM platform operations, including Splunk or similar log analytics tools.
  • Preferred certifications include Cribl Certified Observability Engineer or Splunk Certified Architect/Consultant.

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