Data & Analytics Engineer II, Autonomous Mobility and Delivery

**About the Role** At Uber, our mission is to reimagine the way the world moves for the better. The Autonomous Mobility & Delivery team is at the forefront of this transformation, focusing on the user experience and marketplace dynamics of autonomous vehicles. We are currently running multiple pilots to integrate autonomous vehicles to power our mobility and delivery services, spearheading a groundbreaking product area that impacts partners, riders, eaters, drivers and the entire marketplace. Join us to build future-looking transportation and delivery with revolutionary technology. **What You Will Do:** **Build and Optimize Scalable Data Systems** - Design, develop, and maintain efficient data pipelines, ETL processes, and data models. - Ensure data assets are reliable, scalable, and tailored to business and product needs. - Troubleshoot and optimize data workflows for performance and reliability. - Document systems clearly and communicate findings effectively to stakeholders. **Champion Data Quality and Collaboration** - Implement and advocate for best practices in data quality, security, and governance. - Work closely with cross-functional teams, including data science, engineering, and analytics, to improve data accessibility and usability. - Align data initiatives with business goals and foster trust in organizational data. **Develop Insights through analysis and Drive Strategic Impact** - Develop tools, dashboards, and frameworks to scale insight generation and meet critical business needs. - Proactively design data solutions that address future challenges and drive decision-making. - Independently drive technical deep dives and product insights to influence roadmap \-\-\-\- Basic Qualifications ---- - 2+ years of full-time engineering experience - Proficient in SQL and a data engineering language (e.g., Python, Scala). - Experience with scalable data pipelines, ETL processes, and data modeling. - Strong knowledge of relational and columnar databases (e.g., PostgreSQL, Redshift), and familiar with ETL frameworks (e.g., Airflow) and data visualization tools (e.g., Tableau). - Proven ability to implement data quality, governance, and security best practices. \-\-\-\- Preferred Qualifications ---- - 2+ years of experience in Data Engineering, Analytics Engineering, or related role - Strong ownership and curiosity to identify, diagnose, and resolve data issues, while elevating data quality and modeling practices. - Strong problem-solving skills with the ability to troubleshoot complex data challenges. - Strong analytical and problem-solving skills to address complex data challenges. - Excellent communication skills with a proven track record of collaborating successfully with technical and non-technical stakeholders. - Strong data intuition and analytical acumen to drive meaningful insights. - Ability to translate complex business and analytical needs into scalable data models. - Proven ability to influence technology and architectural decisions in large organizations. For San Francisco, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year. For Seattle, WA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 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 is proud to be an Equal Opportunity/Affirmative Action 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.