Azure Data Engineer

Role Overview

Accountabilities

• Design, build, and maintain security data ingestion pipelines for SIEM and cloud data platforms, including Azure Data Explorer and Log Analytics.
• Parse, normalize, transform, enrich, and validate security telemetry using regex, JSON parsing, schema mapping, and related techniques.
• Onboard log sources and validate end-to-end data flows with internal teams, vendors, and security stakeholders.
• Maintain telemetry integrity, completeness, timeliness, and quality for monitoring, detection, response, reporting, and risk management.
• Align security data with schemas, naming conventions, governance standards, and organizational requirements.
• Troubleshoot ingestion, parsing, transformation, schema, and data-quality issues across platforms and environments.
• Document onboarding procedures, source requirements, data mappings, pipeline configurations, and operational support processes.
• Perform telemetry gap analyses and improve ingestion frameworks, automation, onboarding, scalability, reliability, and cost efficiency.
• Support infrastructure-as-code, scripting, automation, regulatory logging, audit, retention, and data-integrity requirements.
• Monitor pipeline performance and optimize reliability, throughput, and operational costs.

Requirements

• At least 3 years of relevant experience in cybersecurity, data engineering, log management, security operations, or a related technology discipline.
• Hands-on experience onboarding, managing, and validating log sources within SIEM, cloud data platforms, or security analytics environments.
• Strong understanding of parsing, normalization, transformation, and validation for structured and unstructured data.
• Experience with regex, JSON, XML, CSV, and security telemetry from network, endpoint, identity, application, cloud, and infrastructure environments.
• Experience with cloud platforms and logging, monitoring, and analytics services, particularly within the Azure ecosystem.
• Strong troubleshooting, analytical, organizational, communication, collaboration, judgment, and data-quality ownership skills.
• Understanding of compliance and regulatory requirements for logging, retention, auditability, and data integrity.
• Python or PowerShell experience is preferred, and broader cybersecurity experience is advantageous.

Opportunity Benefits

• The role offers remote work from anywhere.
• The opportunity provides exposure to large-scale security telemetry, SIEM platforms, Azure data services, cloud environments, and security operations.
• The role includes cross-functional collaboration and professional growth in cloud security, telemetry, and data engineering technologies.