Junior SIEM Data Engineer

State Street•Quincy, MA

1d•$70,000 - $118,750•Hybrid

About The Position

The Junior SIEM Data Engineer reports directly to the Cyber Data Engineering Manager and supports the ingestion, validation, transformation, and documentation of cybersecurity telemetry and enterprise log data for security monitoring, analytics, reporting, and incident response. This early-career role is intended for recent graduates or professionals with foundational experience in data engineering, cybersecurity, analytics, information systems, or related technical areas. Working under the guidance of senior engineers, the employee will learn about source data, validate data quality, document requirements, and help deliver reliable security data for cyber analytics and detection use cases. The role is part of Cyber Data & Analytics, which enables cybersecurity teams to make data-driven decisions and strengthen their ability to detect, investigate, and respond to cyber threats. It helps ensure enterprise security telemetry is accurate, complete, searchable, and suitable for use across cybersecurity platforms and data environments. The position may follow a hybrid work model, with in-office presence based on team, business, and location expectations. Standard working hours are 8:00 AM to 5:00 PM local time. Flexibility may occasionally be needed for operational support, release activities, incident resolution, escalation support, or data delivery recovery efforts.

Requirements

Bachelor’s degree in computer science, cybersecurity, information technology, engineering, data engineering, data analytics, information systems, or a related technical field.
At least 1 year 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.
Foundational understanding of data engineering, data analytics, cybersecurity, information systems, or cloud computing concepts.
Basic knowledge of data ingestion, transformation, enrichment, validation, data quality, and data documentation practices.
Ability to use query languages or scripting concepts to analyze, validate, and troubleshoot data.
Understanding of structured, semi-structured, and unstructured data formats, including event data, log data, metadata, fields, schemas, and timestamps.
Strong analytical thinking, attention to detail, and willingness to learn security data engineering concepts.
Strong communication, documentation, collaboration, and problem-solving skills, including the ability to work effectively with geographically distributed teams.
Strong interest in building a career in cybersecurity data engineering, security telemetry, data quality, and cyber analytics.

Nice To Haves

Exposure to data pipelines, data integration, ETL/ELT concepts, data warehousing, data lakes, data quality, or analytics platforms.
Exposure to cybersecurity concepts, security monitoring, log analysis, incident response, or security operations.
Entry-level certifications or training in cybersecurity, cloud, data analytics, or data engineering.

Responsibilities

Support onboarding and validation of cybersecurity telemetry from enterprise applications, infrastructure, cloud services, endpoints, identity systems, networks, and security platforms.
Analyze source data structures, log formats, field availability, timestamp patterns, and metadata requirements.
Support data ingestion, transformation, enrichment, routing, and validation activities under senior engineers’ guidance.
Help validate data quality across raw, enriched, curated, and analytics-ready data layers.
Perform basic checks for completeness, accuracy, freshness, schema consistency, duplicate records, timestamps, and field-level quality.
Use query languages and analytical techniques to search, validate, compare, and troubleshoot security telemetry.
Help identify data gaps, missing fields, parsing issues, incorrect timestamps, routing issues, and inconsistencies between source and destination data.
Document data source requirements, field mappings, data flow diagrams, transformation logic, validation results, and operational runbooks.
Work with cybersecurity, infrastructure, cloud, application, and data engineering teams to understand data requirements and support issue resolution.
Participate in operational support activities, including ticket updates, issue tracking, testing, validation evidence, handoffs, and root cause documentation.
Support second-line troubleshooting for data engineering jobs, pipelines, and data delivery issues affecting cyber data platforms under senior engineers’ guidance.

Benefits

Retirement savings plan (401K) with company match.
Medical insurance.
Dental insurance.
Vision insurance.
Basic life insurance and other optional coverage.
Long-term disability coverage.
Paid time off, including vacation, sick leave, short-term disability, and family care responsibilities.
Employee Assistance Program.
Eligibility for annual performance-based awards, with stated exclusions for certain sales roles.
Eligibility for certain tax-advantaged savings plans.
Flexible Work Program and flexible work-life support.
Development programs and educational support.
Paid volunteer days.
Matching gift program.
Employee networks.