Software Engineer II - Big Data at Uber (San Francisco, CA)

| San Francisco, CA
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About the role:
Collaborates with stakeholders within the team to build and maintain backend services and solutions to support user-facing products, downstream services, or infrastructure tools and platforms used across Uber.
About the Team:
As an organization we support all users inside and outside of Uber who use Uber data to make business or policy decisions. As an engineer you unlock data-driven business decisions across Uber by democratizing fast, efficient, and reliable data products. We build, own and manage data infrastructure products at massive scale, processing hundreds of petabytes of data, ingesting hundreds of billions of records daily and serving millions of queries weekly. Some of the products include data ingestion and pipelines, data quality, metadata & discovery, real-time and batch analytics, business insights and reporting and data sharing platforms.
Minimum qualifications:
  • BS or MS in Computer Science or a related technical discipline, or equivalent experience.
  • 2+ years of experience building and managing distributed systems. Sound understanding of distributed system fundamentals.
  • Highly proficient in one of the following programming languages: Java, Go, C/C++, Python. Good scripting skills and ability to pick up new ones.

Technical skills:
Preferred Qualifications:
  • Systematic problem solving approach and knowledge of algorithms, data structures and complexity analysis.
  • Experience with relational and/or non-relational databases (MySQL, PostgreSQL, Mongodb, Cassandra).
  • Under the hood experience with open source big data analytics projects such as Apache Hadoop (HDFS and YARN), Spark, Hudi, Hive, Parquet, Knox, Sentry, Presto is a plus.
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Technology we use

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An Insider's view of Uber

What’s the vibe like in the office?

When I went into the office for my final interview with Uber, I had the same feeling that I did when I stepped onto my college’s campus for the first time: it just felt like the right fit. The office was high-paced but also relaxed and you could immediately tell that people were friends and genuinely enjoyed being there.

Paige Sammarco

Account Executive, Uber Eats

What kinds of technical challenges do you and your team face?

One of the big challenges today with experimentation is around guaranteeing correctness, especially for small changes to ensure confidence in results. Was that change the cause of new behavior? Did other experiments get in the way? It all comes down to how accurately you can detect small changes within consumer behavior.

Azarias Reda

Head of Uber's Experimentation API team

What makes someone successful on your team?

"It’s not just about the individual contributor. The most successful people are the ones learning from others. On my team, I make sure that everyone shares best practices and we foster a collaborative culture. So when you’re on a call, you’re never really alone. And that applies to everyone."

Ali Faivus

Head of Mid-Market Sales

How do you empower your team to be more creative?

We make sure we don’t ship org structures, but rather aligned products. How can our products complement one another, building upon each other to achieve our primary goals? Whether it’s scheduling, routing, predictive analytics, or operational excellence, we are acting as one, and smartly leveraging our domains and strengths.

Joe Chang

Director of Engineering, Uber Freight

How does your team reward individual success?

I believe recognizing someone’s contributions are a big part of team play. On our weekly meetings, we always start with a shout-out, and it’s amazing how this simple topic stimulates the team to recognize small victories and accredit colleagues for their accomplishments. This brings our team together and fosters a more collaborative environment.

Silvia Penna

Sr Manager, Central Operations

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