Senior SIEM Data Engineer | Telemetry & Data Pipelines

STATE STREET CORPORATION; Quincy (MA); Hybrid; USD 120,000 - 203,000; Full time

Benefits offered by this job

401K with company match

Insurance: medical/dental/vision

Paid time off

Job summary

State Street is seeking a Senior SIEM Data Engineer to lead design, onboarding, transformation, validation, and operational support of cybersecurity telemetry and enterprise log data used for security monitoring and analytics.

You will collaborate with Cyber Data & Analytics and cross‑functional teams to ensure data is accurate, searchable, and governed, delivering high-value data to platforms like Splunk and Databricks.

Qualifications

• Master's or bachelor's degree in computer science, cybersecurity, information technology, engineering, data engineering or related field.
• 8+ years of experience in SIEM engineering, cybersecurity data engineering or related roles.
• Hands-on experience with Splunk or similar SIEM/log analytics platforms.
• Experience with Cribl Stream or similar data pipeline technologies.
• Experience with Databricks and data lakehouse patterns.
• Experience querying and transforming data using SPL, SQL, Python, PySpark.

Responsibilities

• Design, build, and maintain scalable SIEM and security telemetry pipelines across hybrid and multi-cloud environments.
• Lead onboarding of security telemetry from applications, infrastructure, endpoints, cloud services, databases, and security products.
• Analyze source log formats and define onboarding requirements, metadata, routing, and downstream use cases.
• Build and optimize telemetry pipelines for parsing, enrichment, normalization, and multi-destination routing.
• Deliver reliable security telemetry to Splunk, Databricks, and other platforms.
• Design and support Databricks data engineering patterns across data layers.
• Validate data quality across cyber data platforms for freshness, completeness, and accuracy.
• Establish onboarding standards, taxonomy alignment, and data quality controls.
• Automate deployment, monitoring, validation, and onboarding using CI/CD and IaC.
• Mentor engineers and promote best practices for security telemetry onboarding and reliability.

Skills

SIEM onboarding

Security telemetry pipelines

Splunk experience

Cribl Stream

Databricks

Data quality checks

DevOps / DataOps

Troubleshooting

Education

Master's or Bachelor's in CS/IT/Engineering

8+ years in SIEM/data engineering roles

Tools

Splunk

Cribl Stream

Databricks

SaaS/cloud data platforms

Job description

State Street is seeking a Senior SIEM Data Engineer to lead design, onboarding, transformation, validation, and operational support of cybersecurity telemetry and enterprise log data used for security monitoring and analytics.

You will collaborate with Cyber Data & Analytics and cross‑functional teams to ensure data is accurate, searchable, and governed, delivering high-value data to platforms like Splunk and Databricks.