US - IT Data Engineer

Bayer AG; Northern (KY); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Bayer AG is seeking a senior software engineer to architect distributed analysis capabilities for diverse agricultural data. You will design data-intensive APIs, build Kafka-based pipelines, and manage Docker deployments, while shaping cloud infrastructure across AWS/Azure/GCP.

A strong emphasis on data modeling and performance will drive innovations in scalable systems. You will mentor peers and contribute to demonstrations and papers at industry conferences, collaborating with top talent to

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or related field.
• 7+ years of software engineering experience.
• 2+ years Go programming experience.
• 2+ years building data-intensive RESTful APIs.
• Experience with Apache Kafka and stream processing.
• Experience creating and maintaining containerized apps.
• Proficient in cloud infrastructure on AWS/Azure/GCP.
• Data modeling for large-scale databases.

Responsibilities

• Design and implement distributed analysis capabilities for large datasets.
• Architect data-intensive APIs using RESTful design.
• Build stream processing pipelines with Kafka for real-time data ingestion.
• Develop and maintain containerized deployments with Docker.
• Create and manage cloud infrastructure on major providers.
• Model data architectures for relational and NoSQL databases.
• Collaborate with cross-functional teams to select technology stacks.
• Contribute to technical presentations and publications.
• Mentor team members and promote best practices in software development.
• Apply advanced algorithms to optimize system performance.

Skills

Go programming

REST APIs

Kafka

Unit testing

Data structures

Containerization

Cloud infra

Data modeling

Algorithms

Collaboration

Education

Bachelor's in CS/Engineering

Tools

Docker

AWS

Azure

GCP

Job description

Job Summary

Join a transformative data engineering team at the forefront of agricultural innovation, where your work will directly contribute to feeding a growing global population projected to reach 9.6 billion by 2050. This senior-level position offers the unique opportunity to architect and build distributed analysis capabilities that process terabytes of complex scientific data spanning genome sequencing, crop field trials, manufacturing, supply chain operations, and financial systems. You will be instrumental in developing innovative software solutions that accelerate crop system development decisions, working with cutting‑edge technologies to solve challenges that have never been tackled before. This role combines technical excellence with meaningful impact, allowing you to apply deep expertise in software craftsmanship while collaborating with top‑tier talent on problems that shape the future of sustainable agriculture.

Responsibilities

• Design and implement distributed analysis capabilities for large-scale, diverse datasets across agricultural operations
• Architect and maintain data‑intensive APIs using RESTful principles to support critical business functions
• Build and optimize stream processing pipelines using Apache Kafka for real‑time data ingestion and analysis
• Develop and maintain containerized application deployments using platforms such as Docker
• Create and manage cloud‑based infrastructure on major cloud providers to support scalable data operations
• Apply advanced knowledge of algorithms and data structures to continuously improve system performance and innovation
• Model data architectures for large-scale databases, both relational and NoSQL, optimizing for performance and scalability
• Collaborate with cross‑functional teams to identify optimal technology stacks for various dataset requirements
• Contribute to technical presentations and publications at industry conferences
• Mentor team members and drive best practices in software development methodologies

Skills

• Advanced proficiency in Go programming language
• Expertise in building and maintaining RESTful APIs for data‑intensive applications
• Strong experience with Apache Kafka and stream processing architectures
• Proficiency in Unit Testing and Test Driven Development methodologies
• Deep understanding of algorithms and data structures
• Experience with containerization technologies and deployment strategies
• Cloud infrastructure design and management capabilities
• Data modeling expertise for large‑scale database systems
• Strong problem‑solving abilities for complex technical challenges
• Excellent collaboration and communication skills

Experience

• Minimum 7 years of professional software engineering experience
• At least 2 years of hands‑on experience with Go programming language
• Proven track record of at least 2 years building and maintaining data‑intensive RESTful APIs
• Demonstrated experience with stream processing using Apache Kafka
• Practical experience creating and maintaining containerized applications
• Proven ability building and maintaining cloud‑based infrastructure on AWS, Azure, or Google Cloud Platform
• Experience with data modeling for large‑scale databases

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or related technical field, or equivalent practical experience

This is an exceptional opportunity to work on problems that matter, where your technical expertise will directly impact global food security and sustainable agriculture. You will be part of a team that values innovation over hierarchy, where the strength of your ideas drives project direction and your contributions are recognized at the highest levels. The role offers exposure to unique technical challenges involving scientific datasets at unprecedented scales, opportunities to present at major industry conferences, and the chance to work with cutting‑edge technologies in cloud computing and distributed systems. If you are passionate about applying world‑class engineering to solve real‑world problems with global significance, this position offers the perfect blend of technical challenge, professional growth, and meaningful impact.