Data Engineer 2 , Analytics (Data Platform)

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What Highspot is looking for in applicants
About Highspot Highspot helps sales teams improve customer conversations and achieve their revenue goals. From content optimization and performance analytics to in-context training, guided selling, and more, the Highspot platform delivers enterprise-ready features in a modern design that sales reps and marketers love. Using Highspot, marketing leaders have deep insights and analytics into the performance and influenced revenue of content, campaigns, and marketing assets.  What makes the solution special? It’s loved by sales reps globally, and is the #1 rated sales enablement platform on G2 Crowd.  We are committed to diversity as both a moral and business imperative. About the Role Highspot’s Data Platform crew lies under the Analytics pillar, aspires to build the central repository for all data at Highspot, handling the collection, cleansing, transformation, and application of data to generate various business insights with low-latency and reliability. We’re very proud of our customer loyalty and our rapid growth, which needs a scalable and low-latency big data platform to support all data use cases.  We’re looking for a Data Engineer who will bring creativity and experience to bear as they work collaboratively with a talented team on those opportunities and challenges.  Some of the tools we use or plan to use to build Highspot include Kafka, Spark, Flink, Java, Clojure, Hadoop, Ruby, MongoDB, PostgreSQL, AWS, and Kubernetes (but we don’t expect you to be expert in all of those).

Want some tips on how to get an interview at Highspot?

What is Highspot looking for?
If this role looks interesting to you, a great first step is to understand what excites you about the team, product or mission. Take your time thinking about this and then tell the team! Get in touch and communicate that passion.
What are interviews for Data Engineer 2 like?
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How to land an interview at Data Engineer 2 ?
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