Corteva Agriscience™ is seeking a talented and collaborative Data Engineer to join our North American Commercial Unit. In this role, you will work closely with analytics, data science, marketing, and sales teams to design, build, and operationalize efficient data pipelines and infrastructure that power insightful data products, dashboards, and advanced analytics. You will play a key role in automating, deploying, and maintaining production-grade data workflows, ensuring reliability, scalability, and reproducibility through modern DataOps practices.

WhatYou’llDo

Data Pipeline Development:
Design, build, and maintain scalable data pipelines and ETL processes to support analytics, reporting, and data science initiatives.

Productionization& Automation:
Develop and automate robust workflows for data ingestion, transformation, and delivery using orchestration tools and CI/CD pipelines.

Cloud Data Engineering:
Leverage cloud platforms (Azure preferred) and technologies (Databricks, Azure Data Factory) to manage big data environments and enable advanced analytics.

Code Quality & Collaboration:
Participate in code reviews (PRs), enforce coding standards, and collaborate with cross-functional teams to ensure maintainable, high-quality solutions.

Monitoring & Troubleshooting:
Implement monitoring and observability for data pipelines, proactively identifying and resolving issues in production environments.

Data Governance & Quality:
Ensure data integrity, security, and compliance by applying best practices in data governance, quality management, and documentation.

Stakeholder Engagement:
Work closely with business partners to understand requirements, deliver custom data solutions, and provide training and support for end users.

WhatYou’llNeed

Education:

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field (Master’s preferred).

Experience:

2-3 years of relevant experience, or a Master’s degree in a related field.

Strong proficiency with SQL, Python, and PySpark for data engineering tasks.

Hands-on experience with cloud computing technologies for big data (Azure preferred), including Databricks and Azure Data Factory.

Experience building and maintaining production-grade data pipelines, including monitoring and troubleshooting in live environments.

Proficiency in using Git for version control and collaboration; experience participating in code reviews (PRs) and enforcing code quality standards.

Experience working in an Agile environment, with knowledge of Agile methodologies and practices.

Hands-on experience with CI/CD pipelines for automating data pipeline deployment and testing.

Technical Skills:

Experience with orchestration tools (e.g., Databricks Workflows) and deployment methods (Databricks Asset Bundles) for scalable data operations.

Familiarity with automation tools and processes for streamlining development, testing, and deployment workflows.

Understanding of DataOps concepts and best practices for reliable, reproducible, and scalable data workflows.

Ability to develop dashboards and data visualizations in Power BI or similar tools.

Basic understanding of data science concepts, techniques, and tools, such as machine learning algorithms, statistical analysis, and data preprocessing.

Systems thinker – able to design and implement solutions with awareness of the full data platform, anticipating downstream impacts and ensuring end-to-end reliability.

Business & Communication Skills:

Exceptional communication skills, with the ability to translate technical solutions into business value.

Ability to take vague requirements and convert them into scalable, actionable data solutions.

Strong problem-solving skills, business curiosity, and results-driven mindset.

Commitment to continuous learning and staying at the forefront of technology trends.

Takes initiative and builds relationships with key stakeholders to establish confidence, trust, and credibility.

Customer-focused and motivated by results, with the ability to proactively identify business needs and drive stakeholder satisfaction.

Preferred Qualifications

Deep understanding and experience with Azure’s cloud architecture, services, and management tools.

Knowledge of MLOps best practices, including deployment, monitoring, and maintenance of machine learning models.

Experience participating in code reviews and collaborative development processes.

Experience with building automated pipelines for data workflow deployment and monitoring in Azure Databricks.

Experience supporting data-driven business transformation and data governance initiatives.

Benefits – How We’ll Support You:

Numerous development opportunities offered to build your skills
Be part of a company with a higher purpose and contribute to making the world a better place
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
Learn more about our total rewards package here - Corteva Benefits
Check out life at Corteva! www.linkedin.com/company/corteva/life

Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team.

Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.

Corteva Agriscience

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