Hybrid SIEM Data Engineer - Telemetry & Pipelines

STATE STREET CORPORATION; Quincy (MA); Hybrid; USD 90,000 - 158,000; Full time

Benefits offered by this job

401K with company match

Medical/Dental/Vision insurance

Paid time off

Employee assistance program

Performance-based awards

Flexibility for work-life balance

Job summary

State Street Corporation is seeking a SIEM Data Engineer to support onboarding, transformation, and delivery of cybersecurity telemetry to platforms like Splunk and Databricks. You will work with cybersecurity, cloud, and data teams to ensure secure, reliable, and searchable data flows.

The role emphasizes data quality, schema consistency, and operational support for data pipelines, with a hybrid work model in the Boston area and broader US locations.

Qualifications

• Experience with security telemetry onboarding and validation across diverse data sources.
• Hands-on experience with Splunk or equivalent SIEM/log analytics platforms.
• Experience with Cribl Stream or similar data pipeline technologies.

Responsibilities

• Onboard and transform security telemetry from applications, infrastructure, endpoints, cloud, and SaaS.
• Configure pipelines for parsing, enrichment, routing, and validation to SIEM/cyber analytics platforms.
• Validate data quality in Splunk/Databricks for freshness, completeness, and schema consistency.
• Troubleshoot ingestion and data flow issues across sources, pipelines, and platforms.
• Collaborate with cross-functional teams to ensure telemetry supports security use cases.

Skills

SIEM onboarding

Splunk proficiency

Cribl Stream knowledge

Databricks experience

Python/Shell scripting

Data quality validation

Education

Bachelor's or Master's in CS/ cybersecurity / IT / data fields

Tools

Splunk

Databricks

Cribl Stream/Fluent Bit/Fluentd

Kafka/Syslog/HEC

Job description

State Street Corporation is seeking a SIEM Data Engineer to support onboarding, transformation, and delivery of cybersecurity telemetry to platforms like Splunk and Databricks. You will work with cybersecurity, cloud, and data teams to ensure secure, reliable, and searchable data flows.

The role emphasizes data quality, schema consistency, and operational support for data pipelines, with a hybrid work model in the Boston area and broader US locations.