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Talent Network

Data Engineer

Department: Software

Location: Santa Barbara, Seattle

Req#: 3458

At Sonos, we are passionate about creating the finest HiFi audio systems in the world. Our products stream all the music on earth, to every room of your house, all controlled from the palm of your hand. It’s easy to use, but keeping things simple and bug free is hard work. The problems are complex and the solutions must be elegant.


Sonos has mountains of data, but that data is only useful if it is collected, stored and presented accurately. As a Data Engineer, you will be responsible for identifying, preparing, and performing data analysis, discovering data anomalies, generating test data, and implementing data quality improvements while participating in an Agile environment. This is an exciting, high visibility position in a rapidly expanding team at the forefront of a shift to a data-driven business.

About You

Our band is large. And while there’s plenty of room for all kinds of personalities and skill sets to succeed, there are certain qualities that will help you thrive here.

Like a never-accept-less work ethic. An exceptionally low ego-to-talent ratio (none of the first, tons of the latter). A relentless craving to push past your limits and try new things. The smarts and the humble confidence to take on big challenges, make mistakes fast and early, embrace tough feedback, then recover quickly with fresh, startlingly perfect solutions. A fearless willingness to defend great work. And a tendency to totally geek out on music.

If this sounds like you, read on and let’s connect soon.

What You’ll Do
  • Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming
  • Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala
  • Experience with integration of data from multiple data sources
  • Experience with a variety of data storage techniques including NoSQL databases, such as HBase, Cassandra, MongoDB
  • Good understanding of Lambda Architecture, along with its advantages and drawbacks
  • Define, document, and evangelize data instrumentation best practices. Mentor software team members on big data techniques and technology.
Skills You’ll Need
  • BS/BA in Computer Science, Software Engineering, or equivalent
  • Proficiency in Java, Python, R, Matlab
  • Proficiency with Hadoop v2, MapReduce, HDFS
  • Demonstrated experience with understanding the business requirements and test cases to generate large volumes of test data to support the requirements
  • Working knowledge of AWS cloud architecture and associated technologies
  • Passion and ability for solving intractable problems. Superior critical thinking skills.
  • Excellent analytical and troubleshooting skills
  • Excellent verbal and written communications skills
  • Experience working in a Scrum/Agile environment
  • Basic understanding of IP networking; understanding of WiFi (802.11a/b/g/n) preferred but not required
  • Working knowledge of Windows, Macintosh, iPhone, Android, and Linux systems
How to Audition
Apply now and if there is a strong match, we'll reach out!
More About Our Band

In 2002, we set out to reinvent home audio for the digital age. Our mission–to fill every home with amazing sounding music. Yes, it was an ambitious goal. Challenging, too. And that hasn’t changed.

Since those early days, we’ve remained tirelessly focused on finding innovative ways to make listening out loud, with friends and loved ones, the truly transformative experience it should be. We’ve seen our vision capture the imaginations of music lovers in more than 60 countries, as we’ve continued to introduce products, software, and technologies that help people share the songs they love, discover new music they never knew existed, and experience richer, more musical lives.

At Sonos, we are building a team with extraordinary talent to help us fill every home with music. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.