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).

Key Responsibilities:

  • 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

Required Skills/Experience:

  • 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

Desired Skills/Experience:

  • 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

About Us:

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

#LI-POST

Organization: GLB VEG-R&DGlobal Pipeline Portfolio51150222_

Title: Data Engineer

Location: North America-USA-Missouri-St. Louis

Requisition ID: 01TZL

Job: Information Technology

Schedule: Full-time

At Monsanto, we value a diverse combination of ideas, perspectives and cultures. All qualified applicants will receive consideration for employment without regard to, among other things, race, religion, color, national origin, age, sex, sexual orientation, gender identity, gender expression, status as a protected veteran, or status as a qualified individual with a disability. If you need a reasonable accommodation to access the information provided on this website, please for further assistance.access our disability accommodations process

U.S. Employment Law (applicable for U.S. jobs ONLY): EEO Employer Minorities/Females/Protected Veterans/Disabled. For information about equal employment opportunity rights, please refer to this information from the U.S. federal government: ; .

EEOC PosterEEOC Supplement