> Markdown version of [/jobs/ext/4616331-data-engineer-01puh](https://www.wearedevelopers.com/jobs/ext/4616331-data-engineer-01puh). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - #01PUH - **Company:** Monsanto - **Location:** St. Louis, MO, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Akka (Toolkit), Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Cloud Foundry, Databases, CouchDB, Data Architecture, Information Engineering, Relational Databases, Distributed Data Store, Github, Java Virtual Machine (JVM), PostgreSQL, MySQL, Neo4j, NoSQL, Oracle (Applications), Software Systems, Google Cloud, Apache Cassandra, Stack Overflow, Solid Principles, Kubernetes, Apache Flink, Apache Kafka, Free and Open-Source Software, Spark Streaming, Stream Processing - **Published:** November 7, 2026 - **Apply:** https://www.agcareers.com/bayer/data-engineer--01puh-job-655321.cfm ## About the Role * Minimum of a Bachelor's Degree in a relevant discipline or equivalent combination of education and experience. * Demonstrated ability to solve complex problems * Experience participating in the build and support of APIs using resource based design principles * Minimum of 3 years of fluency in a JVM language such as Java or Scala, or demonstrated mastery of another language * A level of comfort with SOLID software design principles and proven experience building non-trivial software systems * Demonstrated experience with data architecture and modeling, including designing both logical and physical models for datasets * Proficiency in working with relational databases such as Postgres, MySQL, Oracle, etc. * Proven experience modeling large datasets in distributed databases such as Apache Cassandra * Knowledge of at least one NoSQL database such as Neo4j, CouchDB, etc. Desired Skills/Experience: * Experience with Platform-as-a-Service software such as Cloud Foundry or Kubernetes * Demonstrated experience building cloud native applications in a public cloud such as AWS, Google Cloud or Azure * Experience contributing to open source projects * Experience with stream processing, e.g. Kafka, Spark Streaming, Akka, Flink, etc. * Knowledge of data science practices, to better steer our efforts to support them through the infrastructure we create We encourage you to share with us any and all public contributions you have made in the form of conference presentations, community forums (e.g. Stack Overflow, GitHub, etc.), or open source projects and code samples. ## Description We are currently looking for highly motivated Data Engineers for current and future needs within the organization. These roles will be located in St. Louis, MO, reporting to the Information Asset Lead. Our Data Engineers help us unlock digital yield to ensure a stable food supply for generations to come. In this role, you will be a critical member of a full-stack data engineering team focused on creating distributed analysis capabilities around our enterprise datasets., * Think through complex problems and work to solve them by applying cutting edge data engineering practices * Collaborate closely with your engineering team colleagues and with data scientists across multiple research teams * Take pride in software craftsmanship, diving deep into code and constantly innovating * Think through complex problems and work to solve them by applying cutting edge data engineering practices * Collaborate closely with your engineering team colleagues and with data scientists across multiple research teams * Take pride in software craftsmanship, diving deep into code and constantly innovating Why you should join us: * You will work with other talented engineers solving a wide range of complex and unique challenges that have real world impact * We value the exploration of all relevant technology stacks to find the best fit for each dataset * We prioritize and pursue opportunities to present our work at relevant technical conferences * Our environment values your talent over a role or title. Strength of ideas trumps position on an org chart.