- San Francisco, CA, United States
- Apache Spark
Element Analytics creates industrial analytics software that empowers organizations to achieve new levels of operational performance. The Element Platform makes industrial time-series data easy to use and helps engineers, data scientists, and technologists rapidly turn data into actionable reliability, productivity, and sustainability insights.
You love building elegant systems and obsess about building software that's flexible and extensible where it needs to be. It drives you nuts to work with systems that are needlessly complex and have extensibility built in for extensibility sake. You're back-end focused, but you're comfortable with the front-end when a project takes you there. You enjoy data science or data visualization and have worked on some data-related problems in the past. If this sounds like you, we'd love to chat.
Our Stack: We run on Kubernetes in Azure, our APIs are primarily implemented using Scala (on Akka), the front end is written with React.js, and we use Python in some machine learning applications as well as for systems work. Our data processing/machine learning is done in Spark, either with Scala, Python, or R.
About Element Analytics
At Element, we're inspired by people who work at industrial companies on day-to-day operations, who keep the lights on and provide so much of the world’s living necessities. We provide them with technology that removes existing obstacles and enables them to realize the full potential of their capabilities. Our mission is to make industrial data incredibly easy to use, and turn it into insight that people can act on to achieve new levels of operational performance. We're a team of industry veterans, data scientists and engineers, analytical and creative thinkers. We thrive on solving hard problems and turning data into real-world impact.
We are a company that has been very intentional about our culture, guided by our 6 core values, which are:
People-Centric Experiences - We design and build technology that puts people first. It molds to their needs and behavior, and enables them through intuitive user experiences to do what they do best, faster.
Simplicity - We seek to understand complexity and simplify it. We value simplicity because it's easily understood and helps people focus on what’s most important.
Humility - We listen, we learn, and we enjoy building things with smart people who are made better by working as a team.
Honest Growth - We focused on growth without shortcuts. We're honest with ourselves and the people we work with; honest growth is the only kind of real, sustainable growth.
Experiential Diversity - We respect, value, and seek out each other’s diverse perspectives. An encouraging, diverse environment brings out the best in everyone and surfaces new ideas and opportunities. Together, we arrive at the optimal solution.
A Scientific Approach - We apply the scientific method to problem-solving. We hypothesize and test assumptions, continuously and rapidly iterate based on results. Testing before building allows us to make better decisions and create the most impactful solutions.
- Apache Spark
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