Data Engineer/ GoLang Developer

Data Engineer

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

o Google Cloud Next 2019:

o GraphConnect 2015:

o Google Cloud Blog:

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

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