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Developer (Full Stack) (Mid)

St. Louis, Missouri | IT
Job ID: 101700
Listed on 10/26/2020

KellyMitchell matches the best IT and business talent with premier organizations nationwide. Our clients, ranging from Fortune 500 corporations to rapidly growing high-tech companies, are exceptionally served by our 1500+ IT and business consultants. Our industry is growing rapidly, and now is a great time to launch your career with the KellyMitchell team.
 

Developer (Full Stack)

Job Summary

We need great people to help transform our client's complex scientific datasets into innovative software that is deployed across the pipeline, accelerating the pace and quality of all crop system development decisions to unbelievable levels.

Duties

  • Be a critical senior member of a data engineering team focused on creating distributed analysis capabilities around a large variety of datasets
  • Take pride in software craftsmanship, apply a deep knowledge of algorithms and data structures to continuously improve and innovate
  • Work with other top-level talent solving a wide range of complex and unique challenges that have real world impact
  • Explore relevant technology stacks to find the best fit for each dataset
  • Pursue opportunities to present our work at relevant technical conferences
  • Google Cloud Next 2019
  • GraphConnect 2015
  • Google Cloud 
  • Project your talent into relevant projects


Desired Skills/ Experience

  • At least 2 years experience with Go
  • Proven experience (2 years) building and maintaining data-intensive APIs using a RESTful approach
  • Experience with stream processing using Apache Kafka
  • A level of comfort with Unit Testing and Test Driven Development methodologies
  • Familiarity with creating and maintaining containerized application deployments with a platform like Docker
  • A proven ability to build and maintain cloud based infrastructure on a major cloud provider like AWS, Azure or Google Cloud Platform
  • Experience data modeling for large scale databases, either relational or NoSQL
  • Experience with protocol buffers and gRPC
  • Experience with: Google Cloud Platform, Apache Beam and or Google Cloud Dataflow, Google Kubernetes Engine or Kubernetes
  • Experience working with scientific datasets, or a background in the application of quantitative science to business problems
  • Bioinformatics experience, especially large scale storage and data mining of variant data, variant annotation, and genotype to phenotype correlation

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