Senior Data Engineer

About the role

<p><span style="font-size: 12pt;"><strong>About Tripadvisor</strong></span></p> <p><span style="font-size: 12pt;"><strong>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.</strong></span></p> <p> </p> <p><span style="font-size: 12pt;">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. </span></p> <p><span style="font-size: 12pt;">We are responsible for providing the software and infrastructure that enable Tripadvisor to better understand visitor preferences and drive GenAI, Analytical, and DSML initiatives at petabyte scale. We build the frameworks, infrastructure, tooling, data modeling, and best practices that ensure consistent, well-governed, high-quality data products everywhere; and we directly own a deliberate set of business-critical, cross-cutting data products.</span></p> <p><span style="font-size: 12pt;">Our work spans:</span></p> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Streaming and batch data platforms that unlock data across Tripadvisor</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">ETL pipelines and data models serving terabytes and growing datasets in Snowflake, BigQuery, and Hive</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Orchestration, scheduling, and ETL generation tools to support cloud migrations and petabyte-scale operations</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Tracking instrumentation, information architecture, and data governance tooling for business-critical analytics</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Self-service and agentic analytics capabilities — governed, natural-language access to trustworthy data</span></li> </ul> <h1><span style="font-size: 12pt;"><strong>The Role</strong></span></h1> <p><span style="font-size: 12pt;">Tripadvisor is looking for a Senior Data Engineer 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 pair strong software engineering fundamentals with deep data engineering expertise, set technical direction, architecting reliable pipelines, and delivering end-to-end solutions that scale to hundreds of millions of travelers.</span></p> <p><span style="font-size: 12pt;"><em>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.</em></span></p> <p><span style="font-size: 12pt;">We collaborate closely with Product, Analytics, Data Science, CRM, Marketing, Finance, and Machine Learning teams across Tripadvisor’s global engineering organization.</span></p> <p> </p> <p><span style="font-size: 12pt;"><strong>What You'll Do<br></strong></span></p> <h2><span style="font-size: 12pt;"><strong>Data Engineering &amp; Data Products &amp; Enablement</strong></span></h2> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Own the full lifecycle of business critical data pipelines: define SLAs, implement performance measurement, monitoring, alerting, and anomaly detection, and lead incident response and root-cause analysis.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Define scalable, reusable data models and curated data sets for analytics, data science, CRM, machine learning, and other data consumers across the organization.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Design, build, and maintain robust ETL/ELT data pipelines that process terabyte- to petabyte-scale data across Snowflake, BigQuery, and other platforms.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Design, build and maintain streaming and batch systems that power real-time and analytical workloads, and lead simplification of legacy ingestion paths.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Drive warehouse standardization and technical-debt reduction as we consolidate toward one warehouse.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Drive enterprise data integrity, validation, documentation, and governance practices — and the tooling that makes them the default rather than the exception.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Apply AI to accelerate the team's own work (e.g., building reusable Claude skills for pipeline migrations and upgrades) and share those patterns with individual teams.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Set and evolve engineering standards, patterns, and best practices for data modeling, pipeline design, testing, and observability.</span></li> </ul> <h2><span style="font-size: 12pt;"><strong>Platform &amp; Software Engineering</strong></span></h2> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Write and review production Java and Python code across our evolving platform stack — from data ingestion and event processing to REST services and internal tooling</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Architect and scale streaming and batch processing systems (Flink, Spark, Kafka) tha