• India - Bangalore

• Technology

• Full-Time Regular

• 08/21/2025

• ID # R-97450

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

Why Join Us?

To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.

We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.

Are you a data engineer passionate about building scalable data solutions to drive customer growth for Expedia Group?

Do you enjoy solving complex data problems and collaborating with cross-functional teams to deliver impactful outcomes? If so, we invite you to join the Marketing Data Engineering team as our next Data Engineer II.

Our Entry Clicks team focuses on collecting and maintaining a high-quality data platform to empower teams in Channel Management, Machine Learning Science, and Traffic Analysis with timely, accurate datasets that drive automated, data-informed decision-making at scale.

In this role you will

• Design, build, and maintain large-scale batch data pipelines and related applications with a cross-functional, geographically distributed team of Data Engineers.

• Implement scalable data processing solutions in public or hybrid cloud environments, applying sound software engineering principles and modern data patterns.

• Collaborate with product managers, analysts, and data scientists to translate business requirements into technical solutions, ensuring data quality, reliability, and observability.

• Write clean, modular, and testable code using languages such as Scala or Java, and Spark, with attention to maintainability and performance.

• Contribute to team-owned data products that serve downstream consumers across analytics, reporting, and machine learning platforms.

• Analyze data patterns via SQL, and debug and resolve data quality issues, bottlenecks, and performance constraints in complex systems.

• Develop visually impactful reports conveying key insights, trends, and actionable recommendations to diverse stakeholders.

• Proactively identify areas for technical and process improvements, contributing to the team’s agile development practices and continuous delivery culture.

• Leverage AI-powered coding assistants like GitHub Copilot to enhance productivity and code quality.

• Participate in peer reviews, knowledge-sharing, and team retrospectives to support ongoing team growth and collaboration.

Experience and qualifications

• BS in Computer Science or equivalent experience.

• 2+ years of hands-on experience in data engineering platforms.

• Experience building and maintaining at least one data pipeline or data product in a production environment, ideally within cloud infrastructure (e.g., AWS, GCP, Azure).

• Proficiency in a programming language relevant to data (e.g., Scala, Spark), with moderate familiarity in other applicable languages.

• Strong SQL skills and experience working with both traditional RDBMS and distributed data storage systems.

• Exposure to technologies such as Hive, Airflow, Iceberg, Collibra, Power BI, and Qubole.

• Commitment to testing, monitoring, and alerting as core components of building reliable systems.

• Comfortable working in an agile, collaborative team environment, with the ability to clearly communicate trade-offs and design decisions to both technical and non-technical stakeholders.

• Business acumen, curiosity, and a drive to solve real-world data challenges that deliver measurable value.

• Excellent communication, interpersonal, problem-solving, and analytical skills.

Accommodation requests

If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.

We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.

Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50

Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.

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, gender, sexual orientation, national origin, disability or age.