Statestreet
Senior SIEM Data Engineer
Quincy, Massachusetts · Senior
Sponsorship not specifiedDetected 5 hours ago
PythonPowerShellSQLDatabricksCI/CDDevOpsPlatform EngineeringRESTKafkaSparkData AnalysisData EngineeringData ScienceCybersecuritySIEMSOC OperationsDetection EngineeringIncident ResponseStakeholder ManagementRoboticsResearchCommunicationMentoring
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16Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- You will work closely with cybersecurity, infrastructure, cloud, application, and data engineering teams to ensure security telemetry is accurate, complete, searchable, governed, and fit for purpose.
- High-quality cybersecurity data is foundational to effective threat detection, incident response, risk reporting, observability, automation, analytics, and compliance.
- State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world.
Responsibilities
- Lead onboarding of security telemetry from applications, infrastructure, endpoints, identity platforms, network devices, cloud services, SaaS tools, databases, and security products.
- Build and optimize telemetry pipelines for parsing, filtering, masking, enrichment, normalization, event breaking, metadata tagging, and multi-destination routing.
- Deliver reliable security telemetry to Splunk, Databricks, and other SIEM or cyber analytics platforms.
- Design and support Databricks data engineering patterns across raw, enriched, curated, and analytics-ready data layers.
- Validate data quality across cyber data platforms for freshness, completeness, correctness, availability, timestamp accuracy, schema consistency, source attribution, routing accuracy, and latency.
- Optimize telemetry pipelines to reduce noise, control ingestion cost, improve performance, and preserve high -value security data for detection and investigation.
- Lead troubleshooting of complex ingestion and data flow issues across sources, collectors, pipelines, SIEM platforms, Databricks tables, APIs, cloud storage, and streaming platforms.
- Automate deployment, monitoring, alerting, validation, pipeline testing, repeatable onboarding, and operational support using CI/CD and infrastructure-as-code practices.
Compensation
- HK$680,000 - HK$1,445,000 Annual
Company info
- Who we are looking for We are looking for a Senior SIEM Data Engineer reporting directly to the Cyber Data Engineering Manager.
- We offer a collaborative environment where technology skills and innovation are valued in a global organization.
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