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# Security Data Analyst - Parsing

- **Company:** Spycloud, Inc.
- **Location:** Austin, TX, United States (Remote available)
- **Experience:** Expert
- **Salary:** $111,000.0 - $144,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Data Analysis, Cyber Security, Databases, Extract Transform Load (ETL), Data Transformation, Data Structures, Data Systems, Linux, Elasticsearch, Python (Programming Language), Korn Shell, NoSQL, Parsing, Regular Expressions, Ansible, SQL Databases, Unstructured Data, Data Processing, Scripting, Git, Amazon Relational Database Service, Functional Programming, Api Gateway, Amazon Simple Queue Service (SQS), Terraform, Databricks
- **Published:** July 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=171de003fe5563fb

## About the Role

* 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 Have:

 * 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).

## Description

We are looking for a passionate 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. This is a local or remote role supporting a hybrid workforce with an expected 40 hours per week.

Our Stack:

 * Python
 * Linux
 * Databases: Elasticsearch, SQL, Databricks
 * AWS (EC2, RDS, SQS, S3, Lambda, API Gateway, and more)

What You'll Do:

 * 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


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