Uber Staff Software Engineer - Data 

United States, West Virginia 

570780444

- - - - What the Candidate Will Do ----

1. Provide technical leadership in architecting, implementing, testing, releasing and monitoring data models for intuitive analytics and business insights
2. Build strong relationships with people in the organization, meaningfully collaborating and building trust
3. Actively seek out the engineering and business problems, solve them with little to no guidance.
4. Be a role model on acting with good judgement and responsibility. Engineers across the organization will look to you on how best to plan and execute on projects
5. See the big picture and identify strategically important problems, inefficiencies or opportunities for meaningful improvements. Drive alignment on how to tackle these and deliver high leverage solutions on these at the group and organization level
6. Raise the bar on sustainable engineering by improving best practices, producing best in class of code, documentation, testing, and monitoring rolling out the next generations of our fintech systems
7. Be a humble mentor and trusted advisor for both our talented team members and passionate leaders alike. Deal with a difference in opinions in a mature and fair way, helping teams to commit and move forward.

- - - - Basic Qualifications ----

1. Bachelor's or Master's degree in Computer Science or related field
2. Passion for driving continual improvement initiatives on engineering best practices like coding, testing or monitoring
3. Solid technical leadership abilities, and comfortable working with various stakeholders to ensure adoption/impact
4. Extensive experience designing and managing data pipelines, dimensional data models and data warehouses to structure data for business-relevant analytics
5. Experience working with end to end distributed data systems for logging, storage, ETL, data quality and monitoring
6. 10+ years of hands-on experience using SQL to build and deploy production-quality ETL pipelines
7. 10+ years of hands-on experience using Hadoop, Hive, Vertica or other MPP databases (AWS, Redshift, Terradata etc)
8. Experience developing scripts and tools to enable faster data consumption
9. Proven track record of results as a Staff Engineer level or above at a premier technology company
10. Excellent written and verbal communication skills, including the ability to write detailed technical documents
11. Passionate about helping teams grow by inspiring and mentoring engineers

* 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 .