**What the Candidate Will Need / Bonus Points** \-\-\-\- What the Candidate Will Do ---- By solving these business problems you will not only be helping Uber but also have a front row seat to build and innovate the future Big Data systems and contribute them back to open source. This is an exciting time to be part of the Data team at Uber. Be sure to check out our engineering blog to learn more about the team. \-\-\-\- Basic Qualifications ---- 1. Bachelor's degree in Computer Science or related technical field or equivalent practical experience 2. Proficiency in one or more programming languages such as Java, C++, Python, or Go. 3. Strong experience with distributed systems and microservices architecture 4. Experience with data analytics and experimental design in an engineering context. 5. 2+ years of industry experience \-\-\-\- Preferred Qualifications ---- 1. 4+ years of experience in hands-on software development with the thoughtfulness of scale, latency, and distributed architecture. 2. Experience building and integrating Machine Learning features 3. Experience with stream processing technologies like Flink 4. Strong background in data analytics tools such as Hive, or similar. 5. Familiarity with CI/CD pipelines and testing frameworks. 6. Demonstrated leadership skills, with experience in mentoring and guiding junior engineers. 7. Proven experience shipping high-quality product features with high velocity. 8. Proven track record in designing and implementing large-scale, high-performance systems. We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together. Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role. \*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to [accommodations@uber.com](mailto:accommodations@uber.com).