Predictive Analytics Architect
Uptake harnesses the power of underutilized data to empower businesses to make informed decisions. We partner with industry leaders to build a predictive analytics software platform that grows smarter in one industry because of what we learn in another. The result is a powerful platform that identifies problems before they happen, ultimately saving money, time and lives.
What you’ll do:
As a Principal Engineer, you’ll be responsible for the architecture of a complex analytics platform that is already changing the way large industrial companies manage their assets. A Principal Engineer understands cutting-edge tools and frameworks, and is able to determine what the best tools are for any given task. You will enable and work with our other developers to use cutting-edge technologies in the fields of distributed systems, data ingestion and mapping, and machine learning, to name a few. We also strongly encourage Principal Engineers to tinker with existing tools, and to stay up to date and test new technologies—all with the aim of ensuring that our existing systems don’t stagnate or deteriorate.
Responsibilities:
As a Principal Engineer, your responsibilities may include, but are not limited to, the following:
Create interactive visualization tools and dashboards
Build a highly scalable framework for ingesting, transforming and enhancing data at web scale
Develop a web services based platform that can grow with the business
Establish automated build and deployment pipelines
Implement machine learning models that enable customers to glean hidden insights about their data
Qualifications:
Bachelor's degree in Computer Science or related field
9+ years of system building experience
5+ years of programming experience using JVM based languages
A passion for DevOps and an appreciation for continuous integration/deployment
A passion for QA and an understanding that testing is not someone else’s responsibility
Experience automating infrastructure and build processes
Outstanding programming and problem solving skills
Strong passion for technology and building great systems
Excellent communication skills and ability to work using Agile methodologies
Ability to work quickly and collaboratively in a fast-paced, entrepreneurial environment
Experience with service-oriented (SOA) and event-driven (EDA) architectures
Experience using big data solutions in an AWS environment
Experience with noSQL data stores: Cassandra, HDFS and/or Elasticsearch
Experience with javascript or associated frameworks
Preferred skills:
We value these qualities, but they’re not required for this role:
Masters or Ph.D. in related field
Experience as an open source contributor
Experience with Akka, stream processing technologies and concurrency frameworks
Experience with Data modeling
Experience with Chef, Puppet, Ansible, Salt or equivalent
Experience with Docker, Mesos and Marathon
Experience with distributed messaging services, preferably Kafka
Experience with distributed data processors, preferably Spark
Experience with Angular, React, Redux, Immutable.js, Rx.js, Node.js or equivalent
Experience with Reactive and/or Functional programming
Understanding of Thrift, Avro or protocol buffers
If you think you would be a good fit for this role, and are interested in joining the best engineering team in Chicago, please provide your resume with a cover letter.