Junior SIEM Data Engineer

About the Role

We are looking for a Junior SIEM Data Engineer reporting directly to the Cyber Data Engineering Manager. This is an early-career role ideal for recent graduates or professionals with foundational experience in data engineering, cybersecurity, analytics, information systems, or related technical areas. You will work under the guidance of senior engineers to understand source data, validate data quality, document requirements, and support the delivery of reliable security data for downstream cyber analytics and detection use cases.

Key Responsibilities

• Support onboarding and validation of cybersecurity telemetry from enterprise applications, infrastructure, cloud services, endpoints, identity systems, networks, and security platforms.
• Assist with analyzing source data structures, log formats, field availability, timestamp patterns, and metadata requirements.
• Support data ingestion, transformation, enrichment, routing, and validation activities under the guidance of senior engineers.
• Help validate data quality across raw, enriched, curated, and analytics-ready data layers.
• Perform basic data 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.
• Assist with identifying data gaps, missing fields, parsing issues, incorrect timestamps, routing issues, and inconsistencies between source and destination data.
• Support documentation of 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 such as 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 impacting cyber data platforms, under the guidance of senior engineers.

Requirements & Tech Stack

• Strong analytical thinking, attention to detail, and willingness to learn security data engineering 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.
• Strong communication, documentation, collaboration, and problem-solving skills, with the ability to work effectively with geographically distributed teams.

Qualifications

• Bachelor's degree in computer science, Cybersecurity, Information Technology, Engineering, Data Engineering, Data Analytics, Information Systems, or a related technical field.
• 1+ years of professional experience, internship experience, academic project experience, 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.
• Exposure to data pipelines, data integration, ETL/ELT concepts, data warehousing, data lakes, data quality, or analytics platforms is preferred.
• Exposure to cybersecurity concepts, security monitoring, log analysis, incident response, or security operations is preferred.
• Understanding structured, semi-structured, and unstructured data formats, including event data, log data, metadata, fields, schemas, and timestamps.
• Strong interest in building a career in cybersecurity data engineering, security telemetry, data quality, and cyber analytics.
• Entry-level certifications or training in cybersecurity, cloud, data analytics, or data engineering are a plus but not required.

This role may follow a hybrid work model.

Standard working hours are 8:00 AM to 5:00 PM local time, with flexibility required for occasional operational support.

Salary Range: $70,000 - $118,750 Annual