Data Engineer

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.
• Automate red teaming, including developing automated workflows for prompt generation, model evaluation, and execution of AI experiments. 
• Conduct ad hoc web scraping and data collection to support research and intelligence initiatives.
• Design and automate workflows and research experiments, including for data curation, storage, and organization.
• Brainstorm novel research approaches to both known and emerging problems involving AI, data, and the internet.
• Implement robust error handling, logging, and monitoring.
• Design and maintain database schemas and pipeline infrastructure.
• 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, data engineers, and software developers to deliver actionable insights and functional tools, including internal and external dashboards, APIs, and data dumps. 

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).
• Familiarity 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.
• Experience deploying APIs on cloud platforms (GCP, AWS, Azure) with robust testing, CI/CD, and performance monitoring practices.

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.