Data Engineer/GoLang Developer

Data EngineerThe mission of Bayer Crop Science is centered on developing agricultural solutions for a sustainable future that will include a global population projected to eclipse 9.6 billion by 2050. We approach agriculture holistically, looking across a broad range of solutions from using biotechnology and plant breeding to produce the best possible seeds, to advanced predictive and prescriptive analytics designed to select the best possible crop system for every acre. To make this possible, Bayer collects terabytes of data across all aspects of its operations, from genome sequencing, crop field trials, manufacturing, supply chain, financial transactions and everything in between. There is an enormous need and potential here to do something that has never been done before. We need great people to help transform these complex scientific datasets into innovative software that is deployed across the pipeline, accelerating the pace and quality of all crop system development decisions to unbelievable levels.What you will do is why you should join us: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 conferencesIf you share our values, you should have: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 NoSQLBonus points for: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 correlationLocation: Creve Coeur, MO or Remote from another location.Is travel required for this position? NoWill the work location for this assignment be office based, remote, or hybrid? RemoteShift Start Time AM - 08:00 AMIs driving required for this position? No - No driving on a regular basis for company business is required for roleSubcontractor Submittals Allowed? NoIs Filtered Assessment Required? NoBenefits (employee contribution):Health insuranceHealth savings accountDental insuranceVision insuranceFlexible spending accountsLife insuranceRetirement planAll qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.