Senior Data engineer

Who are we, and what do we do?
At Corteva Agriscience, you will help us grow what’s next. No matter your role, you will be part of a team that is building the future of agriculture – leading breakthroughs in the innovation and application of science and technology that will better the lives of people all over the world and fuel the progress of humankind. 

Corteva Agriscience is seeking a Senior Data Engineer to join our Data Science & Engineering (DSE) team. In this role, you will collaborate with the R&D team to design and implement scalable data pipelines and infrastructure that power innovative data solutions. You will play a critical role in enabling data-driven decision-making within the organization.

Responsibilities – What You Will do:

• Collaborate with cross-functional teams to understand data requirements and translate them into scalable, efficient solutions aligned with business objectives.
• Design, develop, and maintain robust, secure, and high-performance data pipelines and infrastructure using modern cloud technologies.
• Lead the end-to-end data ingestion and transformation processes, ensuring data quality, integrity, and availability.
• Build and maintain curated datasets and custom reporting solutions to support analytics, business intelligence, and operational needs.
• Identify and implement opportunities for continuous improvement in data architecture, tooling, and workflows.
• Mentor junior engineers and contribute to the development of best practices in data engineering.

What Skills You Need:

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field. Master’s degree preferred.
• 5–7 years of experience in data engineering or a related field.
• Strong proficiency in Python and SQL.
• Hands-on experience with AWS cloud services, including S3, ECS, Lambda, Redshift, Glue, and CloudFormation.
• Solid understanding of data warehousing concepts and experience with modern data warehousing solutions.
• Demonstrated ability to translate complex stakeholder requirements into scalable data solutions.
• Excellent problem-solving skills, attention to detail, and communication abilities.

Preferred Skills:

• Advanced Python programming skills, including experience with frameworks such as Django or Flask.
• Experience with CI/CD automation and data pipeline orchestration tools (e.g., Airflow, Step Functions, Dagster).
• Familiarity with data science concepts, including machine learning, statistical analysis, and data preprocessing.
• Experience working with agriculture-related data or in an agronomic context.

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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.

The salary range for this position is $100,500.00 to $126,000.00.

This reflects a reasonable estimate of the targeted base salary for this role. This role is also eligible for an annual bonus. Based on factors such as geographic location and candidate qualifications, actual base pay is determined when an employment offer is made.

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.