Description

At Corteva Agriscience, you will help us grow what’s next. No matter what your role, you will be part of a team that is building the future of agriculture – solving the world’s food problems through innovation, technology, and putting people first.

Grow what’s next. Grow your future. Join our fast-paced Software Engineering organization that is using leading edge technologies and design practices to accelerate Corteva Agriscience Research & Development. As an intern you must be passionate and curious about technology and the desire to exceed. You will have a unique opportunity to learn, grow, and expand your knowledge with cutting edge data, engineering, and software solutions. You will have a strong drive for excellence, excel in using creative approaches to solving complex problems, and possess an innovative mindset.

The Data Engineering and IT Systems team supports internal systems, data repositories and data pipelines, and compute platforms used throughout R&D. This includes developing high-level data strategies, supporting cloud and on-prem computing, advising and enforcing application security, providing internal tools to developers, and validating software systems.

Responsibilities – What You’ll Do:

• Continuously learn and share your technical knowledge

• Work collaboratively on data engineering and data pipeline solutions for R&D systems

• Design, develop, and support a variety of high-performance software solutions

Qualifications

Qualifications – What You’ll Bring:

• Must be enrolled or recently graduated in or with a bachelors, masters, or doctoral degree program in computer, information technology or related engineering field

• Possess problem-solving skills using creative approaches

• Ability to work effectively with cross-functional engineering teams and business partners

• Hands-on experience and/or coursework in software engineering.

• Not required, but preferred technology experiences: Python, React, Angular, Typescript, C#, .Net, RESTful API Services, AWS, Azure, and SQL

DEITS Recommended Skills:

• In-depth understanding of an operating system, either Windows or Linux.

• Experience in software development.

• Knowledge of SQL

• Experience in AWS cloud services.

• Understanding of Infrastructure as Code (e.g. Terraform)

• Experience with Atlassian tools, Microsoft Power Platform, GitLab

• Experience with cybersecurity, including authentication, authorization, and application security

• Familiarity with Kubernetes, Docker, or containerization