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Junior SIEM Data Engineer

Confidential Client•Financial Services
Entry LevelFull-timeHybrid$70,000 - $118,750
Quincy, Massachusetts
3 Days Ago

The Junior SIEM Data Engineer supports the ingestion, validation, transformation, and documentation of cybersecurity telemetry and enterprise log data to enable effective security monitoring, analytics, and incident response. This early-career role involves working closely with senior engineers to ensure high-quality security data is delivered for cyber analytics and detection use cases, contributing to the organization's ability to detect and respond to cyber threats efficiently.

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Description

About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, IT.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.


Why this role matters

Confidential Client’s Cyber Data & Analytics function depends on high-quality security telemetry to detect, investigate, and respond to threats. This early-career Junior SIEM Data Engineer role helps ensure enterprise log and telemetry pipelines are accurate, searchable, and fit for downstream analytics, detection engineering, and incident response.


What You’ll Do

You will join a team of cyber data engineers and work under senior guidance to support secure, reliable delivery of security telemetry. Day-to-day responsibilities include:

  • Support onboarding and validation of cybersecurity telemetry from applications, infrastructure, cloud services, endpoints, identity systems, networks, and security platforms.
  • Assist with analyzing source data structures, log formats, timestamp patterns, and metadata requirements.
  • Support data ingestion, transformation, enrichment, routing, and validation activities.
  • Help validate data quality across raw, enriched, curated, and analytics-ready layers.
  • Perform basic data checks for completeness, accuracy, schema consistency, duplicates, and timestamps.
  • Use query languages and scripting to search, validate, compare, and troubleshoot telemetry.
  • Assist with identifying data gaps, parsing issues, incorrect timestamps, and routing inconsistencies.
  • Document data source requirements, field mappings, transformation logic, validation results, and runbooks.
  • Participate in operational support: ticket updates, issue tracking, testing evidence, handoffs, and root cause documentation.
  • Support second-line troubleshooting for pipelines and data delivery issues, under senior guidance.

Skills & Attributes We Value

These qualities and skills will help you succeed:

  • Strong analytical thinking, attention to detail, and eagerness to learn security data engineering concepts.
  • Foundational understanding of data engineering, data analytics, cybersecurity, information systems, or cloud concepts.
  • Basic knowledge of data ingestion, transformation, enrichment, validation, and documentation practices.
  • Ability to use query languages (SQL, SPL, etc.) or scripting concepts to analyze and troubleshoot data.
  • Strong communication, documentation, collaboration, and problem-solving skills across distributed teams.
  • Interest in building a career in cybersecurity data engineering, telemetry, and data quality.

Education & Preferred Qualifications

  • Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, Data Engineering, Information Systems, or a related field.
  • 1+ years of professional experience, internships, academic project experience, or hands-on labs in data engineering, cybersecurity, cloud, analytics, software engineering, or IT operations.
  • Foundational experience with querying, scripting, data analysis, validation, or transformation concepts.
  • Exposure to ETL/ELT, data pipelines, data integration, data lakes/warehouses, analytics platforms, or data quality tooling is a plus.
  • Exposure to security monitoring, log analysis, incident response, or security operations is preferred.
  • Entry-level certifications or training in cybersecurity, cloud, data analytics, or data engineering are a plus.

Work Model & Schedule

  • This role may follow a hybrid work model with in-office presence based on team and business needs.
  • Standard working hours: 8:00 AM to 5:00 PM local time for the employee’s designated work location. Flexibility may be required for occasional operational support, releases, incident resolution, or recovery work.

Compensation & Benefits

  • Employment type: Contract, Full time.
  • Salary range for this role (primary location: Quincy, MA): $70,000 - $118,750 per year.
  • Confidential Client offers competitive benefits, which may include medical, dental, vision, retirement savings, paid time off, and professional development resources. Specific benefits and eligibility vary by location and hire type.

Location

This role is based in Quincy, MA. Local reporting and periodic on-site collaboration may be required.


Candidate Experience & Legal Notices

Careertakes operates as a third-party recruiter supporting Confidential Client. All candidates will be considered without regard to protected characteristics. Any required pre-employment checks or assessments will follow applicable Massachusetts and federal employment laws.


Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.

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