Jobs at Priceline

As a Data Engineer, you will work on data systems, participate in cloud migration, analyze data for product performance, and maintain data infrastructure.

Own and coordinate portfolio release planning, readiness checkpoints, and cross-team communications. Manage release risk, quality gates, CI/CD and automation improvements, and compliance controls. Track release health metrics, run retrospectives, and support stakeholder alignment and post-release analysis.

Build, operate, and evolve Priceline's developer platform: internal tools, CI/CD, deployment orchestration, and developer workflows. Design and maintain services/APIs integrating with GitHub, ArgoCD, Argo Workflows, Codefresh, Kubernetes and cloud. Collaborate cross-functionally, write well-tested code, debug platform issues, and improve developer productivity and governance.

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.

As a Software Engineer, you will develop scalable software, optimize automation, write maintainable code, and collaborate with cross-functional teams to enhance product delivery.

Support legal operations by managing corporate filings, providing litigation support, overseeing intellectual property, and improving knowledge management processes.

As a Software Engineer, you will develop and optimize scalable software, collaborate with cross-functional teams, and implement systems using Core Java and SQL.

Design and develop backend systems and REST APIs using Core Java and Spring Boot. Build low-latency, high-throughput microservices on cloud platforms (GCP/AWS/Azure), compose SQL for real-time analysis, and deliver via CI/automation within cross-functional Agile teams.

Design, build, and maintain end-to-end test automation for API/microservices and consumer-facing web applications. Architect scalable automation frameworks, convert manual regression suites to automated tests, validate UI and backend, build CI/CD test pipelines, and promote testing best practices across teams.

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

Build and scale centralized end-to-end testing platforms, CI/CD workflows, and AI-augmented internal tools to improve developer experience and automate test reliability for mobile and web applications. Integrate tests into pipelines, design execution strategies, observability dashboards, and provide strategic consulting and evangelism to product teams.

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.

The Associate Data Engineer will work on big data systems, support cloud migration, analyze data to improve products, and troubleshoot data infrastructure issues.

Build internal tools, automations, and LLM-powered workflows; embed with product teams to prototype and generalize solutions; create data pipelines and measurement layers to track AI and tool usage; ensure telemetry, reliability, and reusable platform patterns.

Support transactional accounts payable by managing weekly and monthly invoices and payments, performing payment and settlement analysis, onboarding suppliers, troubleshooting reporting/tool discrepancies, producing ad hoc reports, documenting procedures, training colleagues, and collaborating with FinOps, Product, and FinTech teams to improve processes and resolve escalations.

Design, operate, and evolve end-to-end observability solutions (metrics, logs, traces) across infrastructure and Kubernetes. Administer platforms (Splunk, New Relic, Grafana, ClickHouse, Lightrun), optimize telemetry pipelines for scale and cost, standardize instrumentation and alerting, support SLO-driven reliability, lead incident investigations and postmortems, and enable teams through governance, tooling, and automation.

The Catalog Coordinator will review and update hotel data, use SQL for analysis, contribute to BI dashboards, and collaborate with multiple teams to improve catalog quality.

As a Senior Site Reliability Engineer, you will enhance observability systems, support production reliability, and improve incident response times through effective monitoring and analytics strategies.

The Senior Data Scientist will translate business problems into ML challenges, develop scoring and ranking models, and design content personalization strategies while collaborating across teams.