Senior Staff Data EngineerData 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 datasetsTake pride in software craftsmanship, apply a deep knowledge of algorithms and data structures to continuously improve and innovateWork with other top-level talent solving a wide range of complex and unique challenges that have real world impactExplore relevant technology stacks to find the best fit for each datasetPursue opportunities to present our work at relevant technical conferencesProject your talent into relevant projects. Strength of ideas trumps position on an org chartExperience:At least 7 years experience in software engineeringAt least 2 years experience with GoProven experience (2 years) building and maintaining data-intensive APIs using a RESTful approachExperience with stream processing using Apache KafkaA level of comfort with Unit Testing and Test Driven Development methodologiesFamiliarity with creating and maintaining containerized application deployments with a platform like DockerA proven ability to build and maintain cloud based infrastructure on a major cloud provider like AWS, Azure or Google Cloud PlatformExperience data modeling for large scale databases, either relational or NoSQLSkills:Experience with protocol buffers and gRPCExperience with: Google Cloud Platform, Apache Beam and or Google Cloud Dataflow, Google Kubernetes Engine or KubernetesExperience working with scientific datasets, or a background in the application of quantitative science to business problemsBioinformatics experience, especially large scale storage and data mining of variant data, variant annotation, and genotype to phenotype correlationEducation:Bachelor's degree in computer science, management information systems, or a related disciplineAbout US Tech Solutions:US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions.
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