Sr Staff Engineer, Big Data Infrastructure

Key Skills

Apache Airflow, Apache Hadoop, Apache Hive, AWS, Azure, Big Data Technology, Data Analytics, Data Modeling, ETL frameworks, ETL/ELT technologies, Google Cloud Platform (GCP), Java Programming, Presto, Python Programming, Scala Programming, Spark Core, SQL

Job Description

About the Role

We are looking for a Sr Staff Software Engineer for Data Infrastructure to lead a talented team of engineers based in the Bay Area, Seattle and India. Uber's data platforms and infrastructure are used by approximately half of Uber’s employee base distributed across the globe to make critical business decisions daily.

Sr Staff engineers at Uber have a deep impact across a wide variety of business and technology decisions spanning multiple projects and locations. They are passionate and pragmatic technologists who are able to design scalable systems while delivering efficient code. They are not only collaborative role models but also approachable leaders with vision within a larger group. They are humble teachers, technically mentoring a team of hardworking engineers while also executing on delivering uniquely exciting projects.

What you’ll Do:

We need you to lead efforts within the organization to drive the design and development of various data solutions and/or architectures that address strategically important business or technical problems. This role is also responsible for defining and driving the standards and strategy for optimizing the various data solutions and/or architectures.

Minimum Qualifications

PhD or equivalent in Computer Science, Engineering, Mathematics or related field AND 7-years full-time Software Engineering work experience OR 10-years full-time Software Engineering work experience, WHICH INCLUDES 7-years total technical 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, Presto), data modeling, and writing ETLs
• Designing end-to-end data solutions and architecture
• Large-scale distributed systems

Preferred:

• Big data technologies: Hadoop, Hive, Presto, Flink, Airflow, etc
• Cloud (AWS/Azure/Google)

For San Francisco, CA-based roles: The base salary range for this role is $243,000 per year - $270,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is $243,000 per year - $270,000 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 linkhttps://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 completingthis form.

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.