Data Engineer

Corteva - Johnston, IA

Full-time - Mid Level

Johnston, IA

Chemical Manufacturing

About the position

The Data Engineer at Corteva Agriscience plays a crucial role in supporting agricultural projects through data analysis and engineering. This position involves collaborating with various stakeholders to develop and maintain a data platform that integrates organizational information, ensuring that deliverables meet company standards. The Data Engineer will also provide technical leadership, perform large-scale experimentation, and innovate techniques to enhance the data platform, ultimately contributing to the company's mission of advancing agriculture through science and technology.

Responsibilities

• Develop and maintain an adaptable data platform that integrates organizational information.
• Assist analysts and engineers with advanced analytics to derive insights from business data.
• Provide technical leadership to team members and consultants.
• Perform large-scale experimentation and build data-driven models for business inquiries.
• Co-Research innovative techniques like machine learning and AI to enhance the data platform.
• Articulate a vision and roadmap for the exploitation of data as a valued corporate asset.
• Consult with product teams through presentation of data-based recommendations.
• Promote best practices within analytics and product teams.
• Apply critical thinking to challenge common beliefs and concentrate on key issues to identify effective intervention points and strategies.
• Quickly gain new insights and acquire fresh competencies.
• Aim to comprehend business needs and achieve outcomes that positively and directly enhance business performance.
• Utilize a variety of strategies to persuade others to alter their viewpoints or plans, ensuring that all proposals or arguments are bolstered by robust logic and a persuasive business case that addresses all pertinent factors.
• Consider the relative costs and benefits of potential actions to choose the most appropriate one.

Requirements

• Bachelor's degree or equivalent in Computer Science, Data Science, Statistics or other closely related field.
• 8-12 years of relevant experience, with increasing levels of complexity and responsibility.
• Experience with data platform technologies (e.g. Azure Data Factory, Databricks, Dremio, SQL).
• Familiarity with data cataloging tools and how they can increase the value of data assets.
• Considerable experience in solving business problems with advanced analytical solutions.
• Experience building and deploying scalable data pipelines, improving data modeling in a medallion architecture.
• Work with data architects to design robust data architectures.
• Consulting with business team members on technical approaches.

Benefits

• Numerous development opportunities offered to build your skills
• Health benefits for you and your family on your first day of employment
• Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays
• Excellent parental leave which includes a minimum of 16 weeks for mother and father
• Future planning with our competitive retirement savings plan and tuition reimbursement program