US - IT Data Engineer

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

Join a dynamic team dedicated to revolutionizing agricultural solutions for a sustainable future. In this role, you will be a pivotal member of a data engineering team, tasked with creating distributed analysis capabilities around diverse datasets. Your expertise in software craftsmanship and deep understanding of algorithms and data structures will drive innovation and continuous improvement. Collaborate with top-tier talent to tackle complex challenges that have real-world impacts, while exploring cutting-edge technology stacks to optimize our data handling processes.

Responsibilities:

• Develop and maintain distributed analysis capabilities for large datasets.
• Apply advanced algorithms and data structures to enhance software performance and functionality.
• Collaborate with cross-functional teams to solve unique challenges in agricultural data management.
• Evaluate and implement relevant technology stacks tailored to specific datasets.
• Present findings and innovations at technical conferences to share knowledge and insights.
• Contribute ideas and expertise to various projects, emphasizing the strength of concepts over organizational hierarchy.

Skills:

• Proficient in software engineering principles with at least 7 years of experience.
• Strong programming skills in Go, with a minimum of 2 years of experience.
• Experience building and maintaining data-intensive APIs using RESTful architecture (2 years required).
• Familiarity with stream processing technologies, particularly Apache Kafka.
• Comfortable with Unit Testing and Test Driven Development methodologies.
• Knowledgeable in containerization technologies such as Docker for application deployment.
• Proven ability to build and manage cloud-based infrastructure on platforms like AWS, Azure, or Google Cloud Platform.
• Experience in data modeling for large-scale databases, including both relational and NoSQL systems.

Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related field (Masters preferred).
• Relevant certifications in cloud computing or software development are a plus.

This is an exciting opportunity to be at the forefront of agricultural innovation, where your contributions will directly impact the future of food production for a growing global population. Join us in transforming complex scientific datasets into actionable insights that drive sustainable practices across the industry.