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About the Role
This role combines software development and analytics, focusing on building Expedia Group’s AI-native analytics platform and products. You will design, develop, and maintain software solutions, collaborate with stakeholders, and integrate AI/ML-enabled solutions to improve outcomes. The position suits an engineer who thinks like an analyst or an analyst who has become a capable developer, emphasizing getting things done and caring about the product's purpose.
Responsibilities
- Design, develop, test, and maintain reliable software solutions for analytics products, contributing across the full software development lifecycle.
- Apply system design, low-level design, API design, and data modelling practices to build scalable, maintainable services and product capabilities that both people and AI agents can use.
- Collaborate with engineers, product managers, analysts, and other stakeholders to translate business and analytical requirements into effective technical solutions.
- Diagnose complex technical issues, improve application performance and reliability, and contribute to operational excellence through monitoring, testing, and continuous improvement.
- Develop technical aptitude across relevant domains, applying transferable engineering practices to backend services, data-intensive workflows, and AI-powered analytics products.
- Safely integrate and operate AI/ML-enabled solutions that improve outcomes, using certified metrics and checking outputs for accuracy.
- Build AI-powered analytics features such as conversational analytics, natural-language-to-SQL, automated insight summaries, and self-service decision tools.
- Test new ideas quickly and ship early, then turn what works into reusable, self-service capabilities others can build on.
Requirements
- Bachelor’s degree in Computer Science, Data Science, a related technical field, or equivalent practical experience.
- 2+ years of professional software development experience delivering production-quality applications or services.
- Experience owning and delivering features or services within an analytics, data, or product engineering domain, with responsibility for implementation, testing, troubleshooting, and maintenance.
- Proficiency in software engineering fundamentals, including programming, version control, automated testing, API development, data modelling, and system design.
- Bias to action and ownership, taking unclear problems from idea to a working, reliable solution quickly and working well with technical and non-technical teams.
- Foundational understanding of analytics and data, including metrics, data modelling, and how people use data to make decisions.
- Hands-on experience using AI-assisted development tools, and the habit of reviewing generated code for correctness, security, and maintainability.
Skills
- Software development
- Analytics
- AI-native platform development
- Conversational analytics
- AI tools and agents
- System design
- Low-level design
- API design
- Data modelling
- Backend services
- Data-intensive workflows
- AI/ML-enabled solutions
- Natural-language-to-SQL
- Automated insight summaries
- Self-service decision tools
- Programming
- Version control
- Automated testing
- AI-assisted development tools
Location
- Remote
Work Type
- Full-time
Experience Level
- 2+ years of professional software development experience
Education Level
- Bachelor’s degree in Computer Science, Data Science, a related technical field, or equivalent practical experience.
Benefits
- Flexibility
- Benefits
- Support
About the Company
- Expedia Group helps travelers explore the world, one journey at a time.
- We are a global travel company powered by passionate people, trusted partnerships, and leading technology.
- We connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.
- Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings.
Equal Opportunity
- Expedia is committed to creating an inclusive work environment with a diverse workforce.
- All qualified applicants will receive consideration for employment without regard to race, religion, sexual orientation, national origin, disability or age.