Agritech Data Engineer: Distributed Analytics & Cloud APIs

Bayer AG; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Bayer AG is seeking a data engineering leader to build distributed analysis systems over diverse agricultural datasets. You will craft scalable APIs and data pipelines, leveraging Go, Kafka, and cloud infrastructure to enable high-performance data processing.

The role emphasizes strong software craftsmanship, algorithmic thinking, and ongoing collaboration with cross-functional teams. It offers opportunities to optimize data handling and share innovations across the organization.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field required.
• Masters degree preferred for advanced roles and leadership responsibilities.

Responsibilities

• Develop and maintain distributed analysis capabilities for large datasets.
• Apply advanced algorithms and data structures to enhance software performance.
• Collaborate with cross-functional teams on agricultural data management challenges.
• Evaluate and implement relevant technology stacks for specific datasets.
• Present findings at technical conferences to share insights.
• Contribute ideas to projects, emphasizing concepts over hierarchy.

Skills

Software engineering

Go

RESTful APIs

Kafka

Unit Testing

Docker

Cloud platforms

Data modeling

Education

Bachelor's degree in CS/Engineering

Masters preferred

Tools

AWS

Azure

GCP

Job description

Bayer AG is seeking a data engineering leader to build distributed analysis systems over diverse agricultural datasets. You will craft scalable APIs and data pipelines, leveraging Go, Kafka, and cloud infrastructure to enable high-performance data processing.

The role emphasizes strong software craftsmanship, algorithmic thinking, and ongoing collaboration with cross-functional teams. It offers opportunities to optimize data handling and share innovations across the organization.