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Full Stack Developer

St. Louis, Missouri | Technical
Job ID: 113316
Listed on 1/11/2022
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.

Full Stack Developer

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 work at relevant technical conferences
  • Project your talent into relevant projects
Desired Skills/Experience:
  • 7+ years experience in software engineering
  • 2+ years experience with Go
  • 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
  • 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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