Bayer is a global enterprise with core competencies in the Life Science fields of health care and agriculture. Its products and services are designed to benefit people and improve their quality of life. At Bayer you have the opportunity to be part of a culture where we value the passion of our employees to innovate and give them the power to change.

Analytics Data Engineer

Your tasks and responsibilities

The primary responsibilities of this role, Analytics Engineer, are to: 

  • Work on the deployment, delivery and expansion of Analytics breeding algorithms;
  • Work on all aspects of the design, development, validation, scaling and delivery of analytical solutions;  
  • Work on data pipelining and data integration projects of all Phenotype and Genotype data, also work on standardizing data access and storage patterns of all analytical models;
  • Collaborate with interdisciplinary scientists to gather requirements for data pipelines;
  • Collaborate with APC and P&E to streamline data storage and access patterns;
  • Optimize algorithms and data workers to scale horizontally and contribute to the development of new algorithms and capabilities that will enable connected pipeline analytics for all pipelines;  
  • Tune data workers and algorithms to scale horizontally;  
  • Own and modify algorithms to expand to multiple crops and regions with minimal Data Scientist involvement;
  • Work on connecting models and generate feedback and help in training models with different data sets;
  • Develop and maintain visualization interfaces.


Who you are

Your success will be driven by your demonstration of our LIFE values.  More specifically related to this position, Bayer seeks an incumbent who possesses the following:

Required Qualifications:

  • Minimum of a Master’s Degree in Computer Science, Electrical Engineering or a closely-related field;
  • 5 + years of relevant software development experience;
  • 2 + years of Network and Database administration, R, Python, Java and/or Scala;
  • Proven ability to plan, schedule and deliver quality software;
  • Experience working with large data sets;
  • Experience working with distributed computing tools (Map/Reduce, Hadoop, Hive, HBase, Scala, Spark etc.);
  • Experience authoring workflows (using technology like Apache Airflow)
  • Experience in running real workloads in the cloud and diagnosing and fixing problems;
  • Experience in managing support.

Desired Experience:

  • Experience with stream processing (Kafka, Spark Streaming, Akka, Flink, etc.);
  • Experience data modeling for large scale databases, either relational or NoSQL (graph, key: value, document, etc.);
  • Experience with building APIs using GraphQL, node.JS, and other technologies.


Your application

Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and you have the "Passion to Innovate" and the "Power to Change", we encourage you to apply now. Job postings will remain open for a minimum of ten business days and are subject to immediate closure thereafter without additional notice. To all recruitment agencies: Bayer does not accept unsolicited third party resumes.

Bayer is an Equal Opportunity Employer/Disabled/Veterans


Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.


Country: United States
Location: MO-St. Louis, MO-Chesterfield, MO-Creve Coeur, MO-Saint Louis
Functional Area: [sap_fa_8]
Entry Level: 5