Monsanto Data Engineer in ST. LOUIS, Missouri
We are currently seeking a creative and highly motivated Data Engineer for current and future needs within the organization. This role will be located in St. Louis, MO, reporting to the Vegetable R&D Analytics Lead.
This role will establish state-of-the-art data infrastructure to support advanced analytics, spanning discovery (trait genetics and new phenotypic data), breeding (graph-based ancestry and ML-guided predictive breeding), evaluation of varieties based on mobile analysis (building frameworks to combine deep expertise, image recognition, UAVs and sensors), manufacturing and supply chain (global operations research).
Design, build, and maintain Vegetable data infrastructure
Leverage Crop Sciences data and infrastructure to the advantage of Vegetables
Accelerate Vegetable IT tools development, and therefore the Vegetable business, by creating and advocating simplified and sustainable methods for research data storage, discovery, and use
Enable quantitative genetics and predictive breeding at scale
Facilitate the rapid growth and use of data from lab, greenhouse, and field, including images, UAV output, IoT telemetry
Stabilize, streamline, and integrate business critical data currently in ad hoc databases
Drive excellent IT and data citizenship by advocating good practices which support the larger strategy for the digital transformation of Ag
Establish data practices to enable data science and prudent security
Cultivate digital mastery for the Vegetable Division, tempering fashionistas and accelerating conservatives
Bring and spread expertise
Minimum of a Bachelor’s Degree
Demonstrated passion and success in modeling and deploying data architectures which enable transformative analysis.
Experience with at least 2 of the following data ecosystem elements such as Hbase, MongoDB, Cassandra, and/or CouchDB; graph databases such as Neo4j; Hadoop, MapReduce, and/or Spark; AWS, Google Cloud, and/or Azure
Minimum of 3 years of fluency in a JVM language such as Java or Scala, or demonstrated mastery of another language
Excellent data management and software development practice
The ability and desire to coach and learn from other excellent practitioners
Exceptional verbal and written communication, interpersonal and problem-solving skills such as required to negotiate scope and resources, manage projects, and synchronize activities with team members, stakeholders, and management
Experience with Platform-as-a-Service software such as Cloud Foundry or Kubernetes; demonstrated experience building cloud native applications
Knowledge of data science practices, to better steer our efforts to support them through the infrastructure we create
Public contributions to conference presentations, community forums (e.g. Stack Overflow, GitHub, etc.), and/or open source projects and code samples
Bayer successfully completed the acquisition of Monsanto in June 2018, bringing together Monsanto’s leadership in seeds and plant traits with Bayer’s leadership in chemical and biological crop protection. By joining forces, we will create even more extensive career opportunities for talent around the world. We’re a global team working to shape agriculture through breakthrough innovation that will benefit farmers, consumers, and our planet.
While we are now Bayer, we will continue to hire using separate career sites until we can integrate our career platforms. We invite you to explore the career opportunities available at the combined company by visiting advancingtogether.com/careers
Organization: GLB VEG-R&DGlobal Pipeline Portfolio51150222_
Title: Data Engineer
Location: North America-USA-Missouri-St. Louis
Requisition ID: 01TZL
Job: Information Technology
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