Security Data Analyst - Parsing

SpyCloud•Austin, TX

2d•Hybrid

About The Position

SpyCloud is looking for a passionate Security Data Analyst/Python Developer to help parse, transform, and analyze dirty data. The ideal candidate has a thorough understanding of Python, Data analysis techniques, AWS, ETL patterns, and Automation techniques. This is a local or remote role supporting a hybrid workforce with an expected 40 hours per week. The role involves working hybrid (2 days per week) in our Austin, Texas headquarters, or remotely in the United States with travel to headquarters 1-2 times per quarter.

Requirements

5-7 years of professional experience as a Python developer.
A love of working with data.
Familiarity with cleaning/transforming data.
Experience building data solutions and automation tools using Python.
Proficient in Linux bash/ksh scripting and Regular Expressions.
Interest in cybersecurity.
Strong understanding of computer science fundamentals (data structures, algorithms, data processing).
Experience with relational and NoSQL databases.
Excellent communication skills.
Great team player.
Self-directed, empathetic, and eager to automate repetitive tasks.
Able to switch contexts as business needs change.

Nice To Haves

Background or strong interest in cybersecurity.
Familiarity with Git version control system.
Experience with AWS (Compute, Storage, Database).
Experience working with Infrastructure as Code (we use Terraform and Ansible).

Responsibilities

Parse, clean, and transform structured and unstructured datasets to the spycloud schema.
Build Python-based automation for the parsing platform.
Bring order to dirty and/or unstructured data.
Develop ETL-style automation scripts.
Monitor the ingestion process for issues.
Collaborate with the team to design and build innovative data systems.
Analyze data based on the consumption of blogs for the marketing team.
Develop processes, standards and CI/CD pipelines to manage our codebase.
Leverage AI to help automate parsing dirty datasets.