In this role, you will:

• Design, implement, and optimize end-to-end data pipelines for scraping and processing structured and unstructured data using Google Cloud Platform (or similar) and best practices; 
• Conduct ad hoc web scraping and data collection to support research and intelligence initiatives;
• Prepare data for further analysis, including data cleaning, transformation, anonymization, and masking;
• Contribute to the development of internal and external APIs, following best practices; 
• Collaborate with ML engineers, other data engineers, and software developers to deliver actionable insights and functional tools, including internal and external dashboards, APIs, and data dumps; and 
• Drive other critical initiatives. 

Requirements:

• Degree (or equivalent work experience) in Computer Science, Engineering, Information Science, Data Science or a related field (graduate degree preferred)
• 2+ years of professional experience in data engineering or a closely related field
• Ability to communicate complex technical ideas clearly to non-technical audiences
• Proficiency in Python, SQL
• Experience with web scraping/crawling (e.g., Beautiful Soup, Selenium, Scrapy)
• Experience with Google Cloud Platform (or similar), including storage and database services (e.g., Cloud Storage, CloudSQL, Cloud Spanner) and workflow orchestration (e.g., Cloud Composer/Airflow, Cloud Run, Pub/Sub)
• Experience building and managing data pipelines, especially for text data
• Comfort working in fast-moving, high-impact environments, such as startups, AI research labs, or security-focused teams

Compensation & Benefits:

• Salary Range: $105K–$125K, depending on experience and location
• Bonus: Performance-based annual bonus
• Professional Development: Support for conferences, continuing education, or leadership training
• Work Environment: Fully remote, U.S.-based
• Health Benefits: Comprehensive health, dental, and vision coverage
• Time Off: Generous PTO and paid holiday schedule

Retirement: 401(k) plan