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$132,937–$205,781.
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
351 open roles
on FindRole.
Listed pay typically runs
$115,000–$195,944
across 199 roles with salary data.
The Junior SIEM Data Engineer joins the Cyber Data & Analytics team to support the ingestion, validation, transformation, and documentation of cybersecurity telemetry and enterprise log data. Reporting to the Cyber Data Engineering Manager, you will work under senior guidance to ensure security data is accurate, complete, and searchable for downstream cyber analytics and incident response. Daily responsibilities include onboarding data from cloud services, endpoints, and networks, analyzing log formats, and performing data quality checks for schema consistency and timestamp patterns. You will use query languages and analytical techniques to troubleshoot pipelines and identify data gaps. Required skills include foundational knowledge of data engineering, ETL/ELT concepts, and cybersecurity. You will also document data flow diagrams and transformation logic to solve problems related to threat detection and risk reporting.
Support the onboarding and validation of cybersecurity telemetry from enterprise applications, infrastructure, and cloud services.
Analyze source data structures, log formats, timestamp patterns, and metadata requirements.
Assist with data ingestion, transformation, enrichment, routing, and validation activities.
Perform data quality checks for completeness, accuracy, schema consistency, and duplicate records.
Use query languages and analytical techniques to search, validate, and troubleshoot security telemetry.
Identify data gaps, parsing issues, incorrect timestamps, and inconsistencies between source and destination data.
Document data source requirements, field mappings, data flow diagrams, and transformation logic.
Participate in operational support activities including ticket updates, issue tracking, and root cause documentation.
What we're looking for
Bachelor's degree in computer science, Cybersecurity, IT, Engineering, Data Engineering, Data Analytics, Information Systems, or a related technical field.
1+ years of professional, internship, academic project, or hands-on lab experience in data engineering, cybersecurity, cloud, analytics, software engineering, information systems, or IT operations.
Foundational experience with querying, scripting, data analysis, data validation, or data transformation concepts.
Basic knowledge of data ingestion, transformation, enrichment, validation, data quality, and data documentation practices.
Understanding of structured, semi-structured, and unstructured data formats, including event data, log data, metadata, fields, schemas, and timestamps.
Exposure to data pipelines, data integration, ETL/ELT concepts, data warehousing, data lakes, data quality, or analytics platforms (preferred).
Exposure to cybersecurity concepts, security monitoring, log analysis, incident response, or security operations (preferred).
Entry-level certifications or training in cybersecurity, cloud, data analytics, or data engineering (preferred).
Data Loss Prevention (DLP)
Microsoft Purview
Microsoft 365
DevSecOps
Policy-as-Code
Security-as-Code
Infrastructure as Code (IaC)
CI/CD
Python
PowerShell
Terraform
Bicep
YAML
JSON
REST APIs
CASB
Defender for Cloud Apps
SIEM
SOAR
Cloud Security
Data Governance
Data Classification
Zero Trust
Data Security
Linux
Containerization
Virtru
PKWare
Thales
Hybrid Cloud
Systems Administration
Risk Management
Technical Architecture
Security Infrastructure
Federal Information Security Policies