Senior Data Engineer: Go, Kafka & Cloud for Agritech

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

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