Azure Data Engineer

Tandym Tech
Charlotte, NC, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Cloud Computing Cloud Computing Security Cyber Security Data Validation Information Engineering Data Integrity Query Languages Intrusion Detection and Prevention JSON Python (Programming Language) Parsing Windows PowerShell
+13 more
Regular Expressions Cloud Services Security Log Security Information and Event Management Data Streaming Unstructured Data Software Vulnerability Management Extensible Markup Language (XML) Data Logging Scripting Azure Data Factory Software Troubleshooting Data Pipelines

Job description

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., * 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

Requirements

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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