Principal Engineer - Data

**About the Role** This is a Technical Data Leader position. The Data Engineering team focuses on building core Business Intelligence and Data Solutions for multiple business verticals at Uber, like Uber Eats, Grocery & Retail, Growth & Marketing, Uber for Business, Memberships and Ads! The team also works on ground up initiatives like Data Anomaly Detection and Optimizing Data Compute and Storage. **What You'll Do** - Design & Architecture: Partners with stakeholders to understand customer and/or business requirements. Translates requirements into effective design documents to address clearly defined business or technical problems. Provides expertise to make trade-off decisions between short-term results and long-term goals. - Creates and promotes efficiency and speed by leveraging and improving existing solutions, developing extensible solutions, and reconciling gaps and redundancy within the team. Identifies opportunities and advocates for better performance and efficiency of the team's software and systems. - Manages and executes ambiguous technical projects and solutions with drive and an appropriate sense of urgency to deliver technical and business impact - Plans organizes and manages tasks, resources, and timelines to accomplish work accurately and on time. Defines and diagnoses ambiguous problems and determines an appropriate solution, recommendation, or decision while logically evaluating alternatives and factors (e.g., resources, costs, tradeoffs). Anticipates roadblocks and develops strategies to mitigate risk. - Listens to and supports ideas/opinions of others from diverse backgrounds and experiences. Proactively builds and maintains collaborative and trusting relationships with multiple stakeholders . Recognizes conflict or disputes among people and situations; mediates open communication of different points of view to resolve conflicts and meet shared goals. Provides constructive and actionable feedback to others to help improve the entire team. - Enhances the effective functioning of Uber by participating in and promoting activities and efforts that contribute to the engineering and/or people culture in the team such as mentoring junior engineers. Represents the team to the broader community through participation in internally- and/or externally-focused engagements (e.g., tech talks, open source, conferences, team building). **What You'll Need** - 12+ years of total technical data/software engineering experience in one or more of the following areas: - Programming and scripting language (e.g. Python, SQL, Java/Scala) - Big data frameworks (e.g. Spark, Flink, MR, Presto), data modelling, and writing ETLs - Designing end-to-end data solutions and architecture **Bonus Points If** - Technical Leader in Big Data domain - Strong SQL skills - Strong in Data Warehousing and Data Modelling concepts - Hands-on experience in Hadoop tech stack: HDFS, Hive, Oozie, Airflow, MapReduce, Spark. - Programming languages - Python, Java, Scala, etc. - Experience in building ETL Data Pipelines For San Francisco, CA-based roles: The base salary range for this role is USD$284,000 per year - USD$315,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$284,000 per year - USD$315,500 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [https://www.uber.com/careers/benefits](https://www.uber.com/careers/benefits). Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together. Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](https://forms.gle/aDWTk9k6xtMU25Y5A). 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.