No Commute

SpyCloud is on a mission to make the internet a safer place by disrupting the criminal underground. SpyCloud’s solutions thwart cyberattacks and protect more than 4 billion accounts worldwide. Cybersecurity is an exciting, evolving space, and being at the forefront of the fight to disrupt cybercrime makes SpyCloud a special place to work. If you’re driven to align your career with a fantastic mission, look no further! *This role can be hybrid out of Austin (preferred) or remote in the United States with occasional travel to the office (around once per quarter) We are looking for a passionate Senior Security Data Analyst/Python Developer to help us parse, transform, and analyze dirty data. The ideal candidate has a thorough understanding of Python, Data analysis techniques, AWS, ETL patterns, and Automation techniques. Our Stack: Python Linux Databases: Relational and NoSQL AWS (EC2, RDS, SQS, S3, Lambda, API Gateway, and more) What You'll Do: Parse and transform structured and unstructured datasets. Build Python-based automation for the parsing platform. Bring order to dirty and/or unstructured data. Develop ETL-style automation scripts. Maintain and improve the existing codebase and infrastructure. Manage the weekly data ingestion process. Collaborate with the team to design and build innovative data systems. Data analysis based on the consumption of blogs for the marketing team. Develop processes, standards and CI/CD pipelines to manage our codebase. Leverage AI to automatically parse data. 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