Description

Required Qualifications:

4+ years production GoLang experience

8+ years software development experience

Building and maintaining data-intensive APIs using RESTful approach

Apache Kafka stream processing

Docker containerized application deployments

Protocol buffers and gRPC

Unit Testing and Test Driven Development

Working in AWS, Azure or Google Cloud Platform

Experience with Apache Beam or Google Cloud Dataflow

Experience with Google Kubernetes Engine or Kubernetes

Data modeling for large scale databases (relational or NoSQL)

Preferred Qualifications:

Experience working with scientific datasets

Quantitative science to business problems

Bioinformatics experience (large scale storage, data mining of variant data, variant annotation, genotype to phenotype correlation)

 


What You'll Do:

Be senior member of data engineering team creating distributed analysis capabilities

Apply deep knowledge of algorithms and data structures

Solve complex challenges with real-world impact

Work with cutting-edge technology stacks

Opportunity to present work at technical conferences

Education

Any Gradute