At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where 'Health for all Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.
Data Engineer
We are seeking a highly motivated data engineer with demonstrated experience scaling and delivering production quality data systems to join our Science team within Digital Farming Solutions at Bayer Crop Science. You will work closely with key partners, including data engineers and data scientists, to develop reliable, scalable and maintainable machine learning solutions.
YOUR TASKS AND RESPONSIBILITIES
The primary responsibilities of this role are to:
Write robust, well-documented code
Engage with colleagues with diverse technical backgrounds and expertise to understand feature, model and business requirements, and develop solutions to meet automation and scaling needs
Evaluate existing data and model pipelines, and provide recommendations to support business and technical requirements
Utilize tools and/or infrastructure developed by technical delivery partners to ensure proper data architectures and computational infrastructure is available to support rapid development and testing on machine and deep learning models that create value for our farmers
Collaborate across the Science organization to create high-quality, reproducible tools (e.g. templates, packages and dashboards) that will accelerate delivery of customer value
Undertake written & verbal communication with stakeholders in various parts of the organization in the form of detailed documentation and presentations
Chunk, clean, and format text into LLM-ready formats such as JSONL
Contribute to community guidelines for prompt/data hygiene, provenance, and safe data handling for LLMs
WHO YOU ARE
Bayer seeks an incumbent who possesses the following:
Required:
Bachelor’s degree in data science, computer science, or related quantitative field
A minimum of 3 years' experience is required for the following
Strong Python coding skills for development and visualizations, including experience with standard packages (numpy, pandas, matplotlib, seaborn)
Familiar with Extract, Transform, and Load (ETL) processes and simple pipeline creation
Proficient use of SQL or Spark to extract and manipulate data from databases, data warehouses, and data lakes
Experience utilizing Git for collaborative code development
Experience with cloud-based platforms (AWS, GCP, Azure) and basic services (ie. S3, Lambda, Dataproc)
Experience with oral presentation and technical writing
Practical experience with newline-delimited data formats
Familiarity with text encoding (UTF-8) and common cleaning issues
Familiarity with tokenization concepts and context-window tradeoffs
Experience with prompt templates and basic prompt telemetry for debugging
Preferred:
Excitement to learn new topics, develop new skills and use new tools
Experience with web services, api and database design
Experience applying data quality concepts
Familiarity with NOSQL tools like Hadoop (hive, pig, presto) and PySpark
Experience with virtual machines and cloud computing
Interdisciplinary communication and collaboration skills
Experience with application of statistics to environmental or agricultural problems
Expertise in data interoperability and analytics
Familiarity with NLP libraries and tokenizers
Familiarity with embeddings, vector DBs, and data-labeling workflows
Employees can expect to be paid a salary of approximately $90k-130k. Additional compensation may include a bonus or incentive program (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc.. This salary (or salary range) is merely an estimate and may vary based on an applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors.
This posting will be available for application until at least 2/13/26.
YOUR APPLICATION
Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Health for all, Hunger for none, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer.
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.
Equal Opportunity Employer Statement: Notice for U.S. Visitors: All information on this site is subject to compliance with local rule and regulations as they may vary from time to time and across different geographies, including, without limitation, U.S. Executive Orders.
Bayer is an E-Verify Employer.
Location:
United States : Missouri : Creve Coeur
Division:
Crop Science
Reference Code:
860922
Contact Us
Email:
hrop_usa@bayer.com

Bayer is a global enterprise with core competencies in the life science fields of healthcare and nutrition. We design our products and services to serve the most essential human needs of health and nutrition. At the same time, we strive to address some of the world’s biggest challenges presented by a growing and aging global population.
At Bayer, we’re committed to driving sustainable development and generate a positive impact with our businesses.
Through the power of science, we’re pioneering new possibilities that advance life for all of us. That means reimagining how we care for ourselves and one another by empowering everyday health, improving approaches to patient care, and finding better ways to nourish our communities around the world.
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