The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc.

(Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. About the Data Platform Team Our Data Platform team is the engineering backbone of Tripadvisor’s data ecosystem. Formed from the core fundamentals of our Data Engineering and Software Engineering (Data Platform) groups, this unified team combines deep data pipeline expertise with robust platform engineering capabilities.

We are responsible for providing software and infrastructure that enable Tripadvisor to better understand visitor preferences, power experimentation across all surfaces (website, mobile app, and customer communications), and drive GenAI, Analytical, and DSML initiatives at petabyte scale. Our team builds and maintains: Streaming and batch data platforms that unlock data across Tripadvisor ETL pipelines and data models serving terabytes and growing datasets in Snowflake, BigQuery, and Hive Orchestration, scheduling, and ETL generation tools to support cloud migrations and petabyte-scale operations Tracking instrumentation, information architecture, and data governance tooling for business-critical analytics We collaborate closely with Product, Analytics, Data Science, CRM, Marketing, Finance, and Machine Learning teams across Tripadvisor’s global engineering organization. Tripadvisor is looking for a Data Engineer II to join our fast-moving Data Platform group.

In this role, you will design, build, and sustain the data infrastructure that powers the world’s most trusted travel platform. You’ll bring both strong software engineering fundamentals and hands-on data engineering expertise — writing production-quality Java and Python, architecting reliable pipelines, and delivering end-to-end solutions that scale to hundreds of millions of travelers. Do you enjoy building features end-to-end?

Do you thrive working with a broad technology stack, releasing frequently, and collaborating with talented engineers worldwide? If so, we’d love to talk.

What You’Ll Do

Data Engineering Data Products, ETLs Design, build, and maintain robust ETL/ELT data pipelines that process terabyte-scale data across Snowflake, BigQuery, Hive, and other platforms. Develop scalable, reusable data models and curated data sets for analytics, data science, CRM, machine learning, and other data consumers across the organization. Own the full lifecycle of data pipelines: define SLAs, implement performance measurements, monitoring, and anomaly detection.

Ensure enterprise data integrity, validation, documentation, and governance. Platform Software Engineering Write production Java and Python code across our evolving platform stack — from data ingestion and event processing to REST services and internal tooling. Build and maintain streaming and batch processing systems (Flink, Spark, Kafka) that power real-time and analytical workloads.

Take responsibility for all aspects of software engineering: design, implementation, QA, and maintenance, with a CI/CD mindset (most engineers release to production every few days). Operate on and improve cloud infrastructure on AWS, with familiarity with Gradle, Linux, and related tooling. Quality, Collaboration Ownership Take on projects with independence and a mandate to leave things better than you found them.

Be integral to code quality on your team through leadership in design and code review. Collaborate closely with Product, Design, Analytics, and Data Science teams to define specifications and deliver high-quality solutions.