US- IT GoLang Developer; Mid

Overview

Data Engineers are responsible for building high-quality backend data services, pipelines, and platforms. Our engineering teams in the Global Data Assets organization cover a broad range of domains relevant to agriculture, constructing reusable data APIs and analytics solutions used to power our internal and external experiences.

The Senior Staff Data Engineer will contribute to solution design and build, while helping to define and drive best practices within the team.

• 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
• Google Cloud Next 2019:
• Graph Connect 2015:
• Google Cloud Blog:
• Project your talent into relevant projects. Strength of ideas trumps position on an org chart

• 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 No
  
  SQL

• 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

• Bachelor’s degree in computer science, management information systems, or a related discipline;

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit

US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.