Jobs at Priceline

Lead finance analytics initiatives by analyzing large datasets with SQL and BigQuery, identifying trends and inefficiencies, and delivering actionable insights for operational improvement and executive decision-making. Build dashboards, perform ad hoc analyses, automate reporting workflows, define analytical requirements, and collaborate with Finance, Data Engineering, Analytics, and Product teams.

Leads Finance business intelligence strategy, stakeholder engagement, reporting architecture, and dashboard delivery. Builds data models, datasets, and technical specifications; manages Tableau Cloud, OBIEE, and OAS platforms; drives migration and modernization; ensures data governance and reporting quality; and oversees solutions from requirements through deployment and support. The role also partners with Finance and Data Engineering, documents BI processes, and promotes self-service analytics and sustainable enterprise architecture.

Own monthly intercompany accounting and close activities, including journal entries, reconciliations, settlements, reporting, eliminations, variance analysis, and internal controls. Support BlackLine implementation, process optimization, automation, and special projects while ensuring compliance with US GAAP and company policies. Partner with global accounting teams across Booking Holdings brands to resolve issues, improve processes, and meet close deadlines.

Build internal tools, automations, and AI-augmented workflows by embedding with product teams, generalizing solutions into shared platforms, integrating AI vendors, and creating measurement pipelines to track spend, adoption, and outcomes.

Build and operate highly available cloud services and infrastructure for Priceline’s distributed, containerized, microservices platform. Collaborate with engineering, infrastructure, security, and architecture teams to implement cloud solutions, develop cloud tooling, automate CI/CD, manage infrastructure as code, and ensure compliance with enterprise standards. Support systems through their full lifecycle while organizing resources, meeting deadlines, and maintaining reliable public cloud environments.

Senior Data Engineer role at Priceline within a hybrid work environment. The provided description focuses on company culture, benefits, inclusion, and application procedures, without detailing specific responsibilities, technologies, qualifications, salary, travel, or clearance requirements.

Own product strategy, discovery, prioritization, and delivery for Priceline’s Flights business. Define product vision and measurable outcomes, analyze customer and business data, manage backlogs and dependencies, and coordinate quarterly and sprint planning. Partner with engineering, design, finance, commercial, accounting, and data teams to deliver customer and business value. The role is hands-on and may involve troubleshooting database records and API responses.

Supports IT risk management, SOX compliance, and control testing. Responsibilities include evaluating control design and effectiveness, coordinating audit fieldwork, collecting evidence, maintaining risk and control frameworks, monitoring control performance, and partnering with internal, external, business, and technology stakeholders on compliance initiatives.

Design, build, and evolve resilient, high-performance payment and distributed data systems handling large-scale transactions and tracking events. Develop real-time decisioning, risk integrations, refunds, reconciliation, reporting, and attribution APIs. Select scalable technologies, ensure security and data integrity, collaborate cross-functionally, influence architecture, and mentor engineers while delivering mission-critical projects.

Build and ship Priceline’s native iOS applications for hotels, rental cars, and air travel. Develop scalable Swift and SwiftUI solutions, maintain Objective-C code, architect modular codebases, implement testing and concurrency, support CI/CD and feature-flagged releases, and collaborate with product, design, and engineering teams. Mentor other engineers while delivering fast, stable mobile experiences for a high-traffic consumer app.

Lead product discovery, define vision and outcomes, prioritize backlog, and drive delivery by partnering with design, engineering, data, and business stakeholders to reduce flight P&L risk and deliver measurable business value.

Lead finance analytics initiatives by partnering with stakeholders, analyzing large datasets (SQL/BigQuery), delivering ad hoc and dashboard-driven insights (Tableau/Power BI), automating reporting, and driving process improvements to support executive decision-making.

Design and evolve scalable data architectures and frameworks for customer acquisition and retention. Lead technical decision-making, governance, and cross-functional collaboration; mentor engineers and introduce innovative data solutions like Data Mesh and real-time feature stores.