A financial services firm in North Carolina is seeking a new Azure Data Engineer to join their team in Charlotte, supporting the onboarding, validation, and maintenance of security data pipelines across cloud and on-premises environments.
About the Opportunity:
Responsibilities:
Design, build, and maintain scalable data ingestion pipelines for security log sources across cloud and on-premises environments
Parse, normalize, transform, and enrich structured and unstructured telemetry using regex, JSON parsing, schema mapping, and data validation techniques
Partner with application, infrastructure, cloud, vendor, and security teams to onboard new log sources and confirm end-to-end data flow
Validate log integrity, completeness, timeliness, and quality to support monitoring, detection, response, and reporting use cases
Troubleshoot ingestion, parsing, transformation, and pipeline issues while improving reliability, scalability, and operational efficiency
Qualifications:
Minimum of 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 in SIEM, cloud data platforms, or security analytics environments
Strong understanding of data parsing, normalization, transformation, and validation techniques, including regex, JSON, XML, CSV, and structured and unstructured data handling
Familiarity with common security telemetry sources, including network, endpoint, identity, application, cloud, and infrastructure logs
Experience with cloud platforms and associated logging, monitoring, and analytics services
Strong troubleshooting and problem-solving skills related to data pipelines, ingestion flows, schema issues, and data quality defects
Understanding of compliance and regulatory expectations related to logging, retention, auditability, and data integrity
Ability to plan, coordinate, and execute onboarding efforts across multiple internal teams, vendors, and stakeholders
Ability to balance operational support responsibilities with project-based delivery and continuous improvement efforts
Strong attention to detail, commitment to data quality, and ownership of outcomes
Ability to work effectively and collaboratively in a global team environment
Strong communication skills, sound judgment, and a high degree of accountability
Desired Skills:
Experience with scripting or automation tools such as Python, PowerShell, or similar technologies
Familiarity with query languages used to validate, investigate, and analyze ingested data
Experience in broader cybersecurity disciplines, including threat detection, incident response, vulnerability management, or cloud security
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