Build and test software features for web and mobile education products, help improve reliability and performance, and collaborate with engineering, product, and design teams while learning industry practices.
Product Engineer Intern
📜 Description
- Build and maintain scrapers and ingestion pipelines for government data sources.
- Research data sources and develop extraction approaches using internal tools and AI agents.
- Validate data accuracy, completeness, consistency, and reliability before it reaches the platform.
- Monitor sources, investigate failures or changes, and improve scraper resilience.
- Document source behavior, extraction logic, and data-quality checks.
- Support other technical and operational work as needed.
🛠️ Requirements
- Experience with TypeScript; Python is also valuable for data collection and analysis
- Familiarity with web scraping or browser automation using tools such as BeautifulSoup, Playwright, or Selenium
- Comfortable working with HTML, APIs, structured and unstructured data, and common formats such as JSON and CSV
- Strong attention to detail and an ownership mindset for data quality
- Familiarity with Git, debugging, and writing clear technical documentation
- Interest in using AI agents effectively while validating their output carefully
- Curiosity about public-sector data and the persistence to work through inconsistent websites and source formats
Full job description
GovSignals is next-gen acquisition for the Department of War.
It can take the government longer to buy a capability than an adversary takes to field one, and we exist to close that gap.
We're the only startup managing government contract data with AI in both FedRAMP High and DoW Impact Level 5 environments. Our platform monitors 5,000+ live government data sources, 100,000+ federal and state agencies, and 2,000,000+ government contracts in real time. Our customers in government include offices like DIU and SOCOM, and our customers in industry range from small contractors to Fortune 500 primes with billions in annual awards.
Product Engineer Intern
Remote • Paid 6-Week Internship • Expected Start: November 1, 2026
ABOUT THE ROLE
GovSignals is looking for third- and fourth-year undergraduate students and recent graduates to help expand the public data sources that power our platform. This role combines software development, web research, and hands-on ownership of data quality.
WHAT YOU’LL DO
Build and maintain data scrapers and ingestion pipelines for government data sources across the United States
Use internal tooling and AI agents to research sources, develop extraction approaches, and accelerate implementation
Validate data for accuracy, completeness, consistency, and reliability before it reaches the platform
Monitor existing sources, investigate failures or source changes, and improve scraper resilience
Document source behavior, extraction logic, and data-quality checks so systems are maintainable
Support other technical and operational work across the company as needed
SKILLS & EXPERIENCE
Experience with TypeScript; Python is also valuable for data collection and analysis
Familiarity with web scraping or browser automation using tools such as BeautifulSoup, Playwright, or Selenium
Comfortable working with HTML, APIs, structured and unstructured data, and common formats such as JSON and CSV
Strong attention to detail and an ownership mindset for data quality
Familiarity with Git, debugging, and writing clear technical documentation
Interest in using AI agents effectively while validating their output carefully
Curiosity about public-sector data and the persistence to work through inconsistent websites and source formats
You don't need to check every box. We're looking for someone who is technically curious, learns quickly, and enjoys figuring out how things work. Experience with web scraping is helpful, but strong software fundamentals and a willingness to dig into unfamiliar systems are equally valuable.
WHAT YOU’LL LEARN
You’ll see how a high-velocity startup builds trustworthy data products: defining reliable processes, anticipating downstream effects, and making careful tradeoffs that protect data quality.
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