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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - **Company:** Deere & Company - **Location:** Chicago, IL, United States - **Salary:** $86,892.0 - $130,332.0 - **Contract:** Internship / Graduate position - **Skills:** Agile Methodology, Business Analytics Applications, Microsoft Azure, Big Data, Business Systems, Continuous Integration, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Systems, Relational Databases, Decision Support Systems, DevOps, Distributed Data Store, Distributed Systems, Github, Monitoring of Systems, Python (Programming Language), Machine Learning, Meta-Data Management, Microsoft Dynamics, Open Source Technology, Scrum Methodology, Power BI, Cloud Services, Standard Sql, Software Engineering, Data Streaming, Data Logging, Computer Networking Systems, Grafana, Apache Spark, Technical Debt, Infrastructure as Code (IaC), Microsoft Fabric, Data Lakes, Deployment Automation, Data Analytics, Data Management, Restful APIs, Software Version Control, Data Pipelines, Databricks - **Published:** October 22, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=d1d7930470822eef ## About the Role * Experience with Python programming for data engineering and automation. * Knowledge of Apache Spark for large-scale data processing and transformation. * Familiarity with Microsoft Fabric or modern cloud-based data and analytics platforms. * Understanding of CI/CD concepts and automated deployment practices. * Experience using GitHub and GitHub Actions for source control and deployment automation. * Knowledge of SQL and relational database concepts. * Understanding of data modeling, ETL/ELT processes, and data integration principles. * Familiarity with data quality, validation, and monitoring techniques * Experience working with Microsoft Dynamics FO and CRM systems for dealers network systems What Makes You Stand Out * Experience working with cloud data platforms such as Microsoft Azure, Microsoft Fabric, Databricks. * Knowledge of data lake, lakehouse, and modern data architecture patterns. * Exposure to Power BI, reporting, and analytics solutions. * Familiarity with distributed computing and big data technologies. * Understanding of DevOps, Infrastructure as Code (IaC), and automation principles. * Experience with REST APIs and data integration services. * Knowledge of data governance, metadata management, and data cataloging concepts. * Exposure to Agile software development methodologies and Scrum practices. * Experience with monitoring, logging, and observability tools. * Participation in academic projects, internships, hackathons, or open-source projects involving data engineering, analytics, or machine learning Education Ideally, you will have a degree or equivalent related work experience in the following: * Bachelor's or Master's degree in computer/software engineering or related degree. ## Description As a Software/Data Engineer on the John Deere Dealer Data Lake team at East Moline or Chicago, IL locations, you will contribute to the design, development, and support of enterprise-scale data and analytics solutions that enable data-driven decision making across dealer operations. You will work with large and complex datasets from John Deere dealer business systems and enterprise data sources while gaining hands-on experience with modern cloud data engineering technologies., 1. Design, develop, and maintain scalable data pipelines and analytics solutions. 2. Develop data models that support reporting, business intelligence, and advanced analytics use cases. 3. Build, deploy, support, and optimize data products for dealer analytics environments. 4. Collaborate with engineering teams to improve platform capabilities, scalability, reliability, and performance. 5. Participate in technical discussions involving architecture decisions, engineering best practices, and technical debt reduction initiatives. 6. Monitor and improve data quality, consistency, and reliability across distributed data environments. 7. Analyze, troubleshoot, and resolve complex data and analytics platform issues. 8. Support incident management activities by assisting in the resolution of data defects, outages, and production issues. 9. Partner with source system teams, analytics platform teams, and business stakeholders to understand requirements and deliver high-quality data solutions. 10. Contribute to CI/CD automation and DevOps practices to improve deployment efficiency and solution quality. 11. Document technical solutions, data flows, and engineering processes., The terms of the applicable benefit plans, and all company actions administering or interpreting these plans, continue to control. Deere & Company reserves the right to suspend, amend, modify, or terminate the Plan(s) in any manner at any time, including the right to modify or eliminate any cost-sharing between the company and participants. Changes, which can be made at any time, are made by action of the company's board of directors, or to the extent authorized by resolution of its board of directors, or by the Deere & Company Compensation Committee. In the event of a conflict between the language of the official Plan Documents and this document, the language of the official Plan Documents will control.