Cybersecurity Data Engineer (Cybersecurity)

Location: United States

Pay range: $75–$100 USD

Company

hirify.global is an IT consulting firm that delivers technology solutions, advisory expertise, and practical support to help organizations improve performance and achieve business objectives.

What you will do

• Design, build, and maintain cybersecurity and IT data pipelines for centralized analytics and reporting.
• Integrate data from security tools, vulnerability management systems, cloud platforms, identity systems, endpoint tools, ITSM, CMDB, and infrastructure monitoring platforms.
• Create a single pane of glass that improves cybersecurity visibility, decision-making, and operational prioritization.
• Normalize, enrich, correlate, and validate data across source systems.
• Develop data models for executive reporting, operational dashboards, risk reporting, and trend analysis.
• Implement data quality controls, lineage documentation, source mapping, ingestion monitoring, and repeatable engineering standards in partnership with cybersecurity, IT, and analytics stakeholders.

Requirements

• 5+ years of data engineering experience in cybersecurity or IT operational environments.
• Experience with Microsoft Fabric, Azure Data Lake, Azure Data Factory, Databricks, Snowflake, or comparable data platforms.
• Experience with security data normalization, correlation, enrichment, reporting, and Power BI semantic models.
• Knowledge of data governance, data quality management, lineage, cataloging, and access control.
• Ability to design scalable data models and lead source-system integration projects end-to-end.
• Strong interpersonal and communication skills for frequent client interaction by email, calls, and meetings.

Nice to have

• Degree in Data Engineering, Computer Science, Information Systems, or a related field.

Culture & Benefits

• Client-focused consulting environment centered on trust, quality, consistency, and mutual success.
• Agile team within a fast-growing technology consulting firm.
• Emphasis on innovation, integrity, transparency, and data-driven decision-making.
• Employment opportunity with consideration for all qualified applicants in accordance with applicable law.