Senior SIEM Data Engineer Lead Security Telemetry Pipelines

Shain Associates; Quincy (MA); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Shain Associates seeks a Senior SIEM Data Engineer to lead design, onboarding, transformation, and operational support of cybersecurity telemetry and enterprise log data used for security monitoring and analytics.

You will work with cyber data platforms like Splunk and Databricks, improve data quality, and ensure reliable delivery of high-value data across the security stack. This role emphasizes mentorship and automation.

Qualifications

• Master's or bachelor’s degree in computer science, cybersecurity, information technology, engineering or a related technical field.
• 8+ years of experience in SIEM engineering, cybersecurity data engineering, or large-scale log onboarding.
• Strong hands-on experience with Splunk or similar SIEM/log analytics platforms.
• Proven ability to design, onboard, validate, and troubleshoot security telemetry from diverse enterprise sources.
• Experience mentoring engineers and driving engineering best practices.

Responsibilities

• Design, build, and maintain scalable SIEM and security telemetry pipelines across hybrid/multi-cloud environments.
• Lead onboarding of security telemetry from apps, infra, endpoints, identity platforms, devices, cloud services, and databases.
• Analyze source log formats and define onboarding requirements, fields, metadata, routing, and retention.
• Deliver reliable security telemetry to Splunk, Databricks, and other SIEM platforms.
• Mentor engineers and promote onboarding standards, data quality, and operational excellence.

Skills

SIEM onboarding

Security telemetry

Log ingestion

Data pipeline design

Troubleshooting

Education

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

Tools

Splunk

Cribl Stream

Databricks

Fluent Bit/Fluentd

Kafka

Job description

Shain Associates seeks a Senior SIEM Data Engineer to lead design, onboarding, transformation, and operational support of cybersecurity telemetry and enterprise log data used for security monitoring and analytics.

You will work with cyber data platforms like Splunk and Databricks, improve data quality, and ensure reliable delivery of high-value data across the security stack. This role emphasizes mentorship and automation.