Splunk / Cribl Engineer (Cybersecurity Engineering)

Location: Hybrid in North Chicago, Illinois, United States

Salary: $84,500–$162,000 per year

Company

hirify.global develops medicines and healthcare solutions across areas including immunology, oncology, neuroscience, and aesthetics.

What you will do

• Design, implement, and enhance streaming and batch data pipelines using message brokers for SIEM and analytics platforms.
• Route, filter, normalize, and harmonize structured and unstructured security telemetry before SIEM ingestion.
• Build scalable data models and optimize schemas, storage, indexing, and retrieval across data warehouses and security data lakes.
• Integrate security telemetry sources with SIEM platforms, data warehouses, and other repositories through code and APIs.
• Validate data integrity and lineage, test and debug pipeline routing, and document data flows and integration protocols.
• Develop analytics environments, governance standards, retention procedures, and automated security metrics reporting.

Requirements

• Bachelor’s degree with 5 years of experience, or master’s degree with 4 years of experience.
• Advanced experience writing and optimizing Splunk Search Processing Language, administering Splunk Enterprise, and onboarding data sources.
• Experience developing SIEM data models, dictionaries, reports, and configurable data pipelines.
• Knowledge of regular expressions, unstructured-data parsing, database management systems, query languages, table relationships, and views.
• Experience validating datasets and calculations, integrating databases and systems, and working with CI/CD pipelines and Git.
• Ability to work independently and collaboratively in a changing environment.

Nice to have

• Splunk or Cribl certifications, including Splunk Certified Admin, Power User, Architect, or Cribl Certified User, Admin Stream, or Engineer.
• Experience with Agile teams, cybersecurity, privacy principles, threats, vulnerabilities, or ETL in SIEM environments such as ELK, Splunk, or Exabeam.
• Experience with Python, PowerShell, or Go for development and scripting.
• Experience analyzing large datasets to identify patterns, anomalies, and outliers.
• Cloud certifications such as Amazon Solutions Architect, Azure Data Engineer Associate, or Professional Data Engineer.

Culture & Benefits

• Paid vacation, holidays, and sick leave.
• Medical, dental, and vision insurance for eligible employees.
• 401(k) benefits for eligible employees.
• Eligibility to participate in short-term incentive programs.
• Work within a cybersecurity engineering team supporting security operations and business protection.