Sr. Data Engineer I
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. We are looking for a Data Engineer to partner with our analytics and data science team to build efficient data pipelines that power insightful data products, dashboards and analysis. You will be contributing to efforts to improve our data infrastructure and ensure that our end users can focus on analytic processing rather than data inputs and infrastructure. What You’ll Do: Design, develop, own, and evolve the data, APIs, and pipelines that power our data platform. Engineer robust, scalable, and efficient data pipelines. Build analysis-ready datasets that power analytic techniques like regression, classification, clustering, etc. Work with diverse data sources including satellites, UAVs, agricultural machinery, and IoT devices. Identify continuous improvements with a clear understanding of business impact. Be a team player that everyone wants to work with. Be a trusted partner to other engineering and science teams throughout R&D Develop with a focus on comprehensive testing and automation. Debug client/server applications and troubleshoot integration issues. What Skills You Need: You have broad and deep experience with the python programming language and its ecosystem of tools and libraries. You have experience with big data and cloud computing technologies (preferably AWS). You are experienced with both SQL and ORMs. You are comfortable with UNIX-based systems and working on the command line. You are good at translating users' needs into actionable technical tasks. You put effort into clear technical and non-technical communication, and appreciate working with others who do the same. You have a passion for learning and working in a collaborative team environment. Preferred Skills: Experience working with geospatial datasets. Experience building scientific data visualizations. Experience building and deploying containerized applications. Experience contributing to open source projects. Interest in working adjacent to data science and other scientific domains. *No visa sponsorship or relocation is available for this position. 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 $ to $.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. Apply To This Job