Data Engineer 1

At Expedia Group, we help travelers explore the world, one journey at a time. As 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. Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.

Summary: A developing-level database infrastructure and data engineering team member who supports multi-technology database platforms across project delivery and day-to-day operations. The Data Engineer 1 contributes to the design, provisioning, configuration, monitoring, troubleshooting, maintenance, and documentation of database infrastructure, working under the guidance of senior engineers and platform specialists. The role supports a broad technology landscape, including Elasticsearch, AWS Managed Databases, MongoDB, MySQL, PostgreSQL, Redis, and related cloud database services. They participate as a supporting player on complex infrastructure and database projects, follow established operational practices, seek guidance when needed, and are encouraged to ask thoughtful questions and respectfully challenge the status quo.

Expectations Project delivery Supports database infrastructure projects from requirements and design through build, testing, go-live, handover, and decommissioning Helps gather workload, capacity, availability, recovery, security, networking, and support requirements Assists with provisioning and configuration of Elasticsearch, AWS Managed Databases, MongoDB, MySQL, PostgreSQL, Redis, and related services Follows approved patterns for naming, tagging, sizing, topology, access, encryption, backups, monitoring, and alerting Supports migration, upgrade, patching, scaling, replication, and cutover activities with appropriate supervision Performs validation and testing before production release, including connectivity, functionality, performance, backup, restore, and failover checks Maintains accurate project documentation, architecture details, implementation notes, known issues, and operational handover information Identifies gaps in monitoring, alerting, runbooks, access, backup, recovery, and support readiness before go-live   Day-to-day operations Performs routine database and cluster health checks across supported technologies and environments Reviews dashboards, alerts, logs, capacity indicators, backup status, replication health, and service events Participates in incident triage, troubleshooting, escalation, incident bridges, and post-incident follow-up Uses approved runbooks and change processes for configuration changes, maintenance, patching, scaling, failover, and recovery activities Starts with read-only investigation, verifies the target environment, and seeks peer confirmation before production-impacting actions Helps diagnose common operational issues such as connectivity failures, high latency, slow queries, lock contention, replication lag, cluster imbalance, shard or partition pressure, cache eviction, and storage capacity risk Captures timelines, evidence, hypotheses, actions, validation results, and outstanding follow-ups clearly in the appropriate support record Updates operational documentation when procedures, platform behavior, ownership, dashboards, or escalation paths change Escalates early when customer impact is high, the issue is outside the documented procedure, or a proposed action has material risk   Collaboration and growth Collaborates with team members to co-develop solutions and solve infrastructure and database