[Hiring] Data Engineer REMOTE USA
Position: Data Engineer
Date Posted: May 15, 2026
Industry: Data Engineering / Artificial Intelligence / Cybersecurity / Threat Intelligence / Cloud Computing
Employment Type: Full Time
Experience: 2+ Years of Experience in Data Engineering or Related Field Required
Qualification: Bachelor’s Degree in Computer Science, Engineering, Information Science, Data Science, or Related Field (Master’s Preferred)
Salary: $105,000 – $125,000 per year + Performance Bonus
Location: United States (Remote)
Company: 10a Labs (Sundayy)
Description:
A leading AI safety and threat intelligence organization is currently seeking a highly skilled Data Engineer to join its growing technical team. The company specializes in advanced safety solutions, adversarial testing, model evaluation, and intelligence systems designed to support secure and responsible AI deployment across global platforms.
The selected candidate will play a key role in building and optimizing end-to-end data pipelines that support large-scale data collection, processing, and analysis for research and intelligence-driven applications. This role involves working with both structured and unstructured data in a fast-paced, high-impact environment.
The position is ideal for professionals who enjoy working on complex data systems, cloud-based architectures, and large-scale web data extraction projects while collaborating closely with engineering and research teams.
Key Responsibilities:
• Design and develop scalable end-to-end data pipelines for structured and unstructured data processing
• Build and maintain web scraping systems for data collection, research, and intelligence operations
• Clean, transform, anonymize, and prepare datasets for analysis and machine learning workflows
• Develop, deploy, and maintain APIs to support internal tools and external data access
• Work closely with machine learning engineers, data scientists, and software developers on dashboards and analytics systems
• Utilize Google Cloud Platform services including Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Run, Pub/Sub, and Airflow
• Ensure data quality, reliability, and security across all pipelines and systems
• Optimize existing data infrastructure for performance, scalability, and efficiency
• Support research initiatives by delivering accurate and timely data insights
• Contribute to data governance, compliance, and security best practices
Requirements:
• Minimum 2+ years of experience in data engineering or a closely related role
• Strong proficiency in Python and SQL
• Hands-on experience with web scraping tools such as BeautifulSoup, Selenium, or Scrapy
• Strong knowledge of building and managing large-scale data pipelines
• Experience working with Google Cloud Platform or similar cloud environments
• Ability to handle both structured and unstructured data effectively
• Strong communication skills with ability to explain technical concepts clearly
• Experience working in fast-paced environments such as startups or AI research labs preferred
• Strong problem-solving and analytical thinking skills
This is an excellent opportunity to join a cutting-edge organization working at the intersection of AI safety, data engineering, and threat intelligence with global impact.
Disclaimer: The job details above are structured for clarity and based on publicly available content from recruiters/Company pages. All rights remain with the original source; names may be withheld for confidentiality. We are not involved in the hiring process.
