Advanced Analytics Data Engineer

Role Overview

The Advanced Analytics Data Engineer is a key contributor to the organization’s data-driven initiatives, responsible for building and maintaining data pipelines, enabling advanced analytics, and supporting continuous improvement. This role collaborates with cross-functional teams to deliver high-quality data solutions that drive business impact.

Location: Midland, MI, Indianapolis, or other Corteva locations

Key Responsibilities

• Acquire, cleanse, and prepare data for analysis, ensuring data quality and accessibility for modeling and reporting.
• Design, implement, and maintain scalable data pipelines and architectures (including data lakes and warehouses) tailored to analytical and business needs.
• Integrate advanced analytics and machine learning models into the data architecture, overseeing ongoing model and data maintenance.
• Build and support custom data visualizations and tools, troubleshooting issues and optimizing performance along the data pipeline.
• Manage the end-to-end lifecycle of software and data applications, from requirements gathering to deployment and support.
• Collaborate with manufacturing clients, digital translators, and data scientists to define requirements and deliver custom data solutions.
• Partner with IT and enterprise architecture teams to identify and resolve data-related roadblocks.
• Champion automation and continuous improvement methodologies (Lean, Six Sigma), integrating them with data engineering projects.
• Train customers and end users on developed tools and dashboards, ensuring effective adoption and utilization.
• Work across multiple time zones and with diverse stakeholders, demonstrating flexibility and strong communication skills.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience in programming/data engineering.
• Proven programming experience (Python, VBA preferred).
• Experience in customer/end-user facing roles.
• Strong technical skills in data visualization, management, and automation.
• Familiarity with Microsoft Power Platform, Azure Data Factory, Databricks/Unity Catalog, SQL, and PowerBI dashboard creation.
• Project management skills and a high degree of ownership.

Preferred Experience

• Hands-on experience with cloud-based data platforms (Azure, AWS, Google Cloud).
• Experience with big data technologies (Spark, Hadoop, Kafka).
• Knowledge of data modeling, ETL processes, and data integration.
• Familiarity with data governance, security best practices, and real-time data streaming.
• Experience in agriculture or manufacturing environments is a plus.

Attributes & Soft Skills

• Excellent troubleshooting and technical problem-solving abilities.
• Strong communication skills—able to convey complex concepts visually and verbally.
• Collaborative mindset, able to work effectively across teams and with diverse stakeholders.
• Proactive learner, open to evaluating and implementing new tools for improved data management.
• Visionary thinking—able to anticipate future needs and innovate beyond current practices.
• Comfortable working in agile environments and adapting to evolving priorities.

Why Join Us?

At Corteva Agriscience, you’ll be part of a culture of innovation and collaboration, contributing to data-driven initiatives that shape the future of our industry. If you are passionate about data, analytics, and technology, and thrive in a dynamic, customer-focused environment, we encourage you to apply and help unlock the potential of data for continuous improvement and business impact.

VISA Sponsorship is not available with this position.