Overview
Remote
Depends on Experience
Full Time
No Travel Required
Unable to Provide Sponsorship
Skills
Amazon Web Services
Apache Beam
Apache HTTP Server
Cloud Computing
Data Flow
Data Mining
Data Modeling
Database
FOCUS
Google Cloud
Google Cloud Platform
Kubernetes
Microsoft Azure
RESTful
Science
Test-driven Development
Job Details
Data Engineer (Google Language Focus)
Location: REMOTE
Contract Length:1+ year, with extensions
Independent candidates only
THIS IS A W2 ROLE.
Must have updated LinkedIn
If you share our values, you should have:
- At least 7 years experience in software engineering
- 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
Bonus points for:
- 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.