Global Data Sharing Engineer

Expedia Group

. Own cross-functional infrastructure and data-platform initiatives from technical discovery and requirements through architecture, implementation, testing, release, monitoring, and handover .

Posted 10/5/2026full-timeUnited StatesMid-LevelSenior💰 $116,500 - $186,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in infrastructure engineering and data engineering, with a strong focus on building reliable data pipelines, APIs, and reporting infrastructure. Proficient in SQL, programming languages, and cloud platforms, while ensuring compliance with regulatory standards and effective communication across teams.

Highest-signal resume keywords

Expert SQL SkillsData Pipeline DevelopmentCloud Platform ExperienceAI-Assisted Workflow ImplementationCross-Functional Project Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Infrastructure EngineeringData EngineeringData ModelingProgramming Languages (Python, Java, Kotlin, Scala, Bash, PowerShell)Production Data PipelinesWorkflow AutomationComplex Joins and AggregationVersion ControlTesting and MonitoringIncident Response

Soft Skills

Clear CommunicationMentoringCollaboration

Tools & Technologies

APIsBusiness Intelligence ToolsCI/CDConfiguration as CodeData Quality Controls

Industry Keywords

Regulatory ComplianceData Sharing OperationsEnterprise IntegrationsAuditabilityUser Acceptance Testing

Tech Stack

Tools & technologies

CloudJavaKotlinPythonScalaSQL

About the role

Key responsibilities & impact

Own cross-functional infrastructure and data-platform initiatives from technical discovery and requirements through architecture, implementation, testing, release, monitoring, and handover
Serve as reporting and technical requirements subject-matter expert for Product & Technology teams
Translate regulatory and operational needs into data contracts, technical specifications, product requirements, acceptance criteria, and delivery plans
Design, build, and operate reliable queries, data pipelines, data models, APIs, integrations, and reporting infrastructure
Produce accurate, secure, and auditable regulatory outputs
Identify repetitive or error-prone work and productionize AI-enabled workflows with validation, human oversight, data protection, auditability, and post-launch ownership
Shape the data-sharing automation roadmap
Influence Regulatory and Data Sharing Operations, Marketplace Operations, Trust & Safety, Product & Technology, Traveler and Partner Service Platform, and other partner teams
Establish reusable patterns, lead UAT and release readiness, and mentor analysts and junior engineers
Coordinate global data-sharing initiatives involving legal and regulatory requirements, jurisdictions, brands, and lines of business

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field; or equivalent related professional experience
6+ years of relevant experience with infrastructure engineering, data engineering, reliable scalable cloud-based systems, infrastructure platforms, data services, or enterprise integrations in production
Experience independently leading well-defined technical projects involving multiple systems, services, data sources, or cross-functional partners
Expert SQL and data-modeling skills, including complex joins, reconciliation, aggregation, date logic, exception handling, and performance-aware query design
Experience developing or operating production data pipelines, reporting processes, or workflow automation with repeatable controls and auditability
Experience designing or implementing AI-assisted workflows, intelligent automation, or decision-support tools
Understanding of validation, human oversight, security, privacy, and governance in production
Proficiency in at least one programming or scripting language, such as Python, Java, Kotlin, Scala, Bash, or PowerShell
Experience with cloud platforms, APIs, version control, testing, monitoring, alerting, incident response, or root-cause analysis
Preferred: hands-on experience with infrastructure or configuration as code in production cloud environments, reusable modules, CI/CD, state or drift management, observability, and secure operational controls
Preferred: experience with business intelligence or reporting tools, enterprise software integrations, data-quality controls, partner or supplier reporting, or compliance and regulatory data
Preferred: experience leading user acceptance testing and converting ambiguous business requirements into technical designs, acceptance criteria, and operational runbooks
Preferred: experience with LLMs, agentic systems, semantic indexing, document or data extraction, workflow orchestration, or other AI automation patterns
Clear communication with technical and non-technical partners across geographies and time zones

Benefits

Comp & perks

Medical coverage
Dental coverage
Vision coverage
Paid time off
Employee Assistance Program
Wellness reimbursement
Travel reimbursement
Travel discounts
International Airlines Travel Agent Network (IATAN) membership
Flexible work arrangements and support to do their best work