Software Engineer 2

Software Engineer 2 Department: Engineering Team: Backend Location: Sunnyvale, United States Type: Full-Time The Global Intelligence Team focuses on making Uber take important marketplace decisions with better data and algorithms. The ambitious problems include modeling sophisticated market-level dynamics, rider and driver choices, cross-service decisions across rides/eats, and fine-tuning Uber's pricing with data/algorithms from this team. The software engineers on the team use substantial amounts of data to address these challenges, building scalable engineering solutions. We are looking for people who are passionate about solving ambitious business/product issues with well-trained data engineering expertise, with prior experience or interest in science models and methodologies and who are also passionate about seeking the truth via deep-diving into the complicated structured and unstructured data. What the You Will Do 1. Work on creating a platform that powers data driven decision making for Uber Rides and Eats line of business 2. Work very closely with the science team to implement and productionize the models 3. Design and develop new systems to empower fast data-driven decisions 4. Build distributed backend systems serving real-time analytics and machine learning features at Uber scale 5. Work with the product and science teams to build and drive technical roadmap and vision for the team Basic Qualifications 1. 2+ years of full-time engineering experience 2. Experience working with multiple multi-functional teams (product, science, product ops etc) 3. Understanding of Big Data architecture, ETL frameworks and platforms 4. Expertise in one or more object-oriented programming languages (e.g. Python, Go, Java, C++) and the eagerness to learn more 5. Experience with data-driven architecture and systems design 6. Knowledge of Big Data Technologies 7. BS/MS/Phd in Computer Science or related field required Preferred Qualifications 1. Experience building sophisticated systems and knowledge of Hadoop related technologies such as HDFS, Kafka, Hive, and Presto 2. A passi