Job Post

Software Engineer - Data
Hopper
275 Third Street
Cambridge, MA 02142

About Hopper

Hopper is a mobile-only company that uses big data to predict and analyze airfare and accommodations. The app provides travelers with the information they need to get the best deals on flights and hotels, and notifies them when prices are at their predicted lowest points.

Since launching in 2015, Hopper has become one of the fastest growing travel apps ever with over 25 million installs to date. It is the #1 travel app in over 37 countries and ranks as one of the top 10 travel apps in over 95 countries. Our users have watched 55 million trips since launch and book more than $2 million of travel through the app every day.

Hopper is backed by top-tier VCs Accomplice (FKA Atlas Venture), Brightspark, OMERS Ventures, CDPQ, Investment Quebec and BDC.

Who we need

You care deeply about formalism & correctness; you have strong software and data modeling skills. Data is at the core of what we do at Hopper, both in providing data-driven travel advice to our users, and in analyzing our user behaviour to improve the product experience and enable us to best manage our business.

Our data warehouse team works closely with our product engineers, data scientists, and analysts to understand and improve user experience, grow our business, and optimize our systems. You’ll work with a highly skilled and motivated team and your efforts and expertise will have a direct impact on framing and solving some of the most challenging problems in mobile commerce at a scale and complexity that few organizations can match.

As a Data Engineer, you will:

  • Design, implement, enhance and scale the data processing pipeline software that feeds our data warehouse.
  • Design high-performance database schemas and optimize SQL queries.
  • Establish and maintain high data quality standards in our core data pipelines, datasets and databases.
  • Interface with large, distributed no-SQL databases
  • Investigate data problems and identify patterns
  • Work closely with business stakeholders to support Hopper’s analytics community in data-driven decision making.

A perfect candidate has:

  • University degree in Computer Science, Mathematics or Statistics
  • Experience with designing and building large scale data pipelines in distributed environments with technologies such as Hadoop, Cassandra, Kafka, Spark, HBase, etc.
  • Demonstrable experience with SQL, HQL, CQL, etc.
  • Backend development experience with Scala, Java, Python, unix shell scripting
  • 3+ years relevant experience in the field
  • Excellent written and spoken communication skills

Not required, but great if you have:

  • Working knowledge of basic analytics and machine learning concepts
  • Experience with BI administration and report authoring, e.g. Tableau, BIRT, Qlik etc
  • Masters or PhD degree

Benefits

  • Well-funded and proven startup with larger ambitions, competitive salary and stock options
  • Dynamic and entrepreneurial team where pushing limits is everyday business
  • Access to comprehensive medical, dental, vision, disability and life insurance, all on us
  • In Cambridge, work in a historic factory building near Kendall Square; in Montreal, work in an artist’s loft in the Mile End
  • Easy commute with a paid-for public transportation or paid parking
  • IATA Travel Agent Card for discounts in the travel industry
  • Fully stocked kitchen with: coffee/tea, beer, bagels and healthy snacks
  • Team lunches, off-site activities and much more!

Achievements

  • Google’s “Most Beautiful Apps” of 2016
  • Google Play Award 2016 - Standout Startup
  • Webby Award 2016 + 2018 - Mobile Travel + People’s Choice
  • Fast Company’s Innovation by Design Award 2016 - Nominee
  • Apple App Store Best of 2015 - #7 Best App of the Year
Category: Software Engineering/QA
Full-time

See What It's Like To Work Here

Hopper is the award-winning mobile app that doesn't just let you book flights from your phone: It also tells you when is the best time to buy. No spam. No ads. No popups. No time wasted. Just the confidence that you're booking smart and saving money.

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