Senior Data Engineer

This is a remote position.

• 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 
  
• Project your talent into relevant projects. Strength of ideas trumps position on an org chart 
  

Requirements

• At least 7 years experience in software engineering 
  
• At least 5+ years experience with GoLang 
  
• 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