Data Engineer (Scala/Spark)

Sharethrough is the largest & most sophisticated platform for in-feed, native monetization. Built for the new paradigm of modern content marketing, Sharethrough is a mobile-first, content-driven platform for advertisers to engage users with quality content, integrated natively to each site it lives on + for publishers to monetize with premium ads while maintaining a high quality user experience.

As a data engineer at Sharethrough, you’ll build out our 1 terabyte/day data infrastructure, generating insights used by top publishers and brands on the open web, powering critical revenue behind companies like Hearst, CBSi and Time Inc. You'll be a key contributor to our Scala and Spark-based pipeline and the backend services that make thousands of complex, real-time decisions per second possible.

• Having a say: You’ll participate in problem definition and solution with a diverse group of engineers, designers and business owners from around the company.

• Proper engineering: Writing Scala and Spark-based pipeline processing and infrastructure that is performant, well-tested, and easy to maintain.

• Technical heavy lifting: You’ll architect and implement major components of an ambitious technical roadmap, evaluating and implementing tools like Redshift, Kinesis and Mesos.

• You’ve shipped software: You have production experience with a nice bit of our stack: Scala, Spark, EMR, Kinesis, etc. and for the parts you don’t, you’re excited to learn.

• You care about code: You take pride in engineering, and have a deep understanding of how to write high quality, maintainable, extensible software.

• You like moving quickly: We push to production on every commit via our continuous integration and deployment pipeline.