Principal Software Engineer

Chicago, IL

Post Date: 11/16/2017 Job ID: 9724 Category: Data, DevOps

Responsibilities: 
  • Hands-on-keys development! (Ideally 75-25 split dev to non-dev work)
  • Architecture (Critique, Design & Collaborate)
  • Agile Epic/Story creation/breakdown
  • People Management (4-6 Engineers/QA/Ops)

Absolute Must Haves:  Docker & Python
  • One (or more) of the following from each category  (double bonus for those in bold):
  • Container Orchestration: Kubernetes, Mesos, Docker Swarm
  • Server Management: Ansible,   Chef, Puppet, Salt
  • Deployment: Terraform, Vagrant
  • Big Data: Spark, Impala, Hive, HDFS, YARN
  • Workflow Orchestration: Airflow,  Luigi, Oozie, Azkaban
  • Build Systems: Jenkins, Bamboo, TeamCity, Literally Anything
  • Cloud: Azure, AWS, GCP

Here' s an intro to the project:

We' re building a horizontally scalable, technology agnostic platform with trusted open source components like Kubernetes, Spark, and Airflow. It provides an environment for prototyping, developing and executing  analytics pipelines that combine Nielsen and client data. It allows data scientists to focus on doing data science by taking care of the mundane, but essential concerns like data access, logging, configuration, resource negotiation, dependency management, orchestration, and testing. Our goal is to give data scientists the tools they need to make models faster to develop, easier to scale, cheaper to support and completely automated.
Absolute Must Haves: Docker & Python One (or more) of the following from each category  (double bonus for those in bold): Container Orchestration: Kubernetes, Mesos, Docker Swarm Server Management: Ansible,  Chef, Puppet, Salt Deployment: Terraform, Vagrant Big Data: Spark, Impala, Hive, HDFS, YARN Workflow Orchestration: Airflow, Luigi, Oozie, Azkaban Build Systems: Jenkins, Bamboo, TeamCity, Literally Anything Cloud: Azure, AWS, GCP

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