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
Requirements:
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
Job description
Job Description:
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.
Responsibilities:
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
Project your talent into relevant projects. Strength of ideas trumps position on an org chart
Experience:
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
Skills:
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
Education:
Bachelor’s degree in computer science, management information systems, or a related discipline;
About US Tech Solutions:
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 www.ustechsolutions.com.
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.
