Data Science Engineer III

Benefits

Additional Information

Powering the agentic revolution in travel. Sabre is an AI-native technology leader, backed by one of the world's largest travel data clouds. Built on an open, modular, cloud-native architecture, Sabre serves as the backbone for both established leaders and bold, new disruptors, guiding them to the next age of travel retailing through intelligent, connected, and personalized experiences. With AI at its core and operating at unparalleled scale, Sabre transforms insights into innovation, empowering airlines, hoteliers, agencies and other partners to retail, distribute and fulfill travel worldwide. Development & Engineering - Data Engineer Team Description Sabre is seeking a talented Data Engineer to support the Data Intelligence team . This person will report to the Engineering Manager - Data Intelligence . The Data Intelligence team is responsible for building and maintaining scalable data pipelines, streaming systems, and analytics platforms that power customer-facing products and insights. The team works on large-scale data processing, real-time data integration, and enabling AI/ML-driven use cases for airline customers. At Sabre, we're passionate about building software that solves real-world problems. In this role, you will plan, design, develop, and test data systems and applications for enhancements and new products, including cloud-based and real-time data platforms. Role and Responsibilities Develop, build, test, and maintain scalable data pipelines and data processing systems Design and improve batch and streaming data solutions using modern data technologies Work on complex data problems requiring deep understanding of business context and data flows Ensure high data quality, reliability, and performance across systems Follow and promote best practices in coding, data engineering, and system design Collaborate with product managers, architects, and cross-functional teams to deliver data solutions Contribute to cost optimization and efficient usage of data platforms (e.g., BigQuery) Provide technical guidance and mentorship to team members Support development of data models and enable analytics and AI/ML use cases Qualifications and Education Requirements Minimum 5+ years of experience in Data Engineering or a related field , with proven experience in designing and building scalable batch and streaming data pipelines in cloud environments, including owning and managing production data pipelines Degree in Computer Science, Engineering, or equivalent practical experience Strong experience in building data pipelines in cloud environments (preferably GCP ) Hands-on experience with BigQuery, Dataflow, Pub/Sub, or similar technologies Proficiency in SQL and at least one programming language (Python/Java/Scala) Experience with batch and streaming data processing frameworks (e.g., Spark, Beam) Good understanding of data modeling, data warehousing, and ETL/ELT concepts Experience working in Agile development environments Strong problem-solving and analytical skills Good communication skills and ability to work across teams Self-driven, ownership mindset, and commitment to delivery We will give careful consideration to your application and review your details against the position criteria. You will receive separate notification as your application progresses. Please note that only candidates who meet the minimum criteria for the role will proceed in the selection process. #LI-Hybrid#LI-GR1