Software Engineer - Data Production and Compliance

Booking.com

6d

About The Position

Booking.com (USA), Inc, one of the support companies in the United States, is seeking a full time Software Engineer in Washington, DC for the Data Production & Compliance track of the Data and Machine Learning department. The teams in our track engineer the automation behind Booking's Data Governance and Compliance ecosystem. We build scalable solutions to discover and classify assets (including ML/AI), enforce data protection policies, and provide Legal and Compliance stakeholders with real-time visibility into the company's risk posture. This role offers a fantastic opportunity to get involved in Data/ML/AI and apply it to the Data Privacy and Data Governance domains. You will build the technical foundation that allows our data ecosystem to scale safely and responsibly. You won't just be maintaining compliance; you will be engineering the automation engine that governs it. In this role, you will collaborate closely with Privacy teams in our department and across the wider business to translate complex requirements into scalable software solutions. You will move the company away from manual stewardship by treating "Policy as Code"—building intelligent tools that detect risks and enforce protection standards in real-time. You will partner with our ML Scientists and leverage Booking's AI tech stack to solve challenging problems—using advanced techniques to automate the classification and monitoring of our Services and Data/ML/AI assets.

Requirements

• 3+ years of experience in software development in Java, NodeJS and/or Python, with a strong focus on backend systems, data engineering, or platform engineering.
• Familiarity with concepts like data catalogs, lineage, classification, GDPR/CCPA, or PII protection is a strong plus.
• Demonstrated experience building tools that automate manual workflows (e.g., policy enforcement, data tagging) rather than just maintaining existing pipelines.
• Ability to translate complex legal or compliance requirements (from Legal/Risk teams) into technical specifications and scalable software solutions.
• Experience designing distributed systems that are observable, reliable, and capable of scanning/processing large volumes of metadata across diverse assets (Services, ML models, AI).

Responsibilities

• Engineer Governance Automation: Develop scalable services that automatically classify data and ML assets, reducing the manual burden on data stewards.
• Enhance Data Discovery: Build and maintain high-performance metadata registries that ensure all data assets and services are easily discoverable and up-to-date.
• Implement "Policy as Code": Design distinct mechanisms to monitor and programmatically enforce data protection policies across the entire engineering organization.
• Drive Risk Visibility: Create APIs and dashboards that aggregate complex governance data into clear, actionable insights for Legal, Privacy, and Risk stakeholders.
• Take initiative to address the larger technical needs of the product you work on and always keep the customer at the center of everything you do.
• Promote and drive impactful and innovative engineering solutions.
• Advocate for best engineering practices within the team.
• Act as an intermediary for problems, with both technical and non-technical audiences.
• Contribute to the growth of Booking.com through interviewing, on-boarding, or other recruitment efforts.
• Represent Booking.com values, both within the company and in the external community.
• Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences, and active community participation.

Benefits

• Medical, life, and disability insurance
• Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, sick, and care leave.
• Industry leading product discounts for yourself, friends, and family, including automatic Genius Level 3 status.
• Free access to online learning platforms, mentorship programs, and a complimentary Headspace membership.
• Collaborative, friendly and diverse culture.
• Referral Program.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed