Security Data Analyst (Cybersecurity)

TL;DR

Security Data Analyst (Python/AWS): Developing and optimizing ETL pipelines to parse and transform unstructured darknet data with an accent on automation and data cleaning. Focus on building Python-based parsing platforms, implementing CI/CD pipelines, and leveraging AI to automate the processing of dirty datasets.

Location: Must be based in the United States. Hybrid (2 days/week) in Austin, TX, or Remote in the US with required travel to headquarters 1-2 times per quarter.

Salary: $111,000 - 144,000

Company

hirify.global disrupts the criminal underground by transforming recaptured darknet data into automated identity threat protection solutions.

What you will do

• Parse, clean, and transform structured and unstructured datasets into the internal schema.
• Develop Python-based automation and ETL scripts for the parsing platform.
• Build and manage CI/CD pipelines to maintain the codebase.
• Monitor ingestion processes and collaborate on designing innovative data systems.
• Utilize AI to automate the parsing of dirty datasets.

Requirements

• 5-7 years of professional Python development experience.
• Proficiency in Linux bash/ksh scripting and Regular Expressions.
• Experience with relational and NoSQL databases (Elasticsearch, SQL, Databricks).
• Strong understanding of CS fundamentals: data structures, algorithms, and data processing.
• Must be based in the US; no visa sponsorship provided.

Nice to have

• Experience with AWS (EC2, S3, Lambda, RDS, SQS, API Gateway).
• Familiarity with Infrastructure as Code (Terraform, Ansible).
• Knowledge of Git version control.

Culture & Benefits

• Comprehensive US benefits including 401(k) with employer contribution.
• Health, Vision, and Dental insurance with HSA options.
• Employer-paid life, short-term, and long-term disability insurance.
• Generous PTO plan and 16 paid holidays per year.
• Remote-friendly work options and a mission-driven, collaborative environment.