Software Engineer II

at  Uber

What the Candidate Will Do

• Under the hood experience with open source big data analytics projects such as Apache Hadoop (HDFS and YARN), Spark, Hive, Parquet, Presto is a plus.
• Under the hood experience with fault tolerant, large scale data processing, or storage systems, or cloud and container-based cluster orchestration such as Vertica, Apache Impala, Drill, Google Borg, Google BigQuery, Amazon RedShift, Kubernetes, Mesos etc. is also a plus.
• Incorporation of Machine Learning algorithms into products.
• Extra bonus points for those with a deep expertise in or an aptitude for Spark internals, including but not limited to core resource management, data source, SQL optimization, multi-language support, machine learning or deep learning integration.
• Experience with security and/or privacy enhancing technologies (PETs),
• Experience with various encryption algorithms, anonymization and data minimization techniques

Basic Qualifications

• BS or MS in Computer Science or a related technical discipline, or equivalent experience.
• Experience coding with C++, Java, Python, or Go
• Systematic problem solving approach and knowledge of algorithms, data structures and complexity analysis.
• At least 3 years of software engineering experienc

Preferred Qualifications

• Hands on knowledge with Big Data technologies, e.g. Hive, Spark, Presto, HDFS
• Experience with Cloud compute / storage, e.g. Google Cloud, Azur

Uber is on the lookout for top-notch backend/data/ML software engineers to join the Data Governance engineering team within the Tech Privacy org. This role involves designing, building and handling robust distributed systems to solve infrastructure challenges that delight our quickly growing platform engineering and product engineering teams, enabling the whole engineering organization to iterate at top speed in an open, decentralized environment. If you love working on software platforms that touch the physical world and want some serious production experience at exponential growth, this is it.

What the Candidate Will Do

• Under the hood experience with open source big data analytics projects such as Apache Hadoop (HDFS and YARN), Spark, Hive, Parquet, Presto is a plus.
• Under the hood experience with fault tolerant, large scale data processing, or storage systems, or cloud and container-based cluster orchestration such as Vertica, Apache Impala, Drill, Google Borg, Google BigQuery, Amazon RedShift, Kubernetes, Mesos etc. is also a plus.
• Incorporation of Machine Learning algorithms into products.
• Extra bonus points for those with a deep expertise in or an aptitude for Spark internals, including but not limited to core resource management, data source, SQL optimization, multi-language support, machine learning or deep learning integration.
• Experience with security and/or privacy enhancing technologies (PETs),
• Experience with various encryption algorithms, anonymization and data minimization techniques.

Basic Qualifications

• BS or MS in Computer Science or a related technical discipline, or equivalent experience.
• Experience coding with C++, Java, Python, or Go
• Systematic problem solving approach and knowledge of algorithms, data structures and complexity analysis.
• At least 3 years of software engineering experience

Preferred Qualifications

• Hands on knowledge with Big Data technologies, e.g. Hive, Spark, Presto, HDFS
• Experience with Cloud compute / storage, e.g. Google Cloud, Azure

For Seattle, WA-based roles: The base salary range for this role is USD$158,000 per year - USD$175,500 per year. 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