Software/Data Engineer: Enterprise Analytics & Data Lakes

John Deere; Illinois; On-site; USD 87,000 - 130,000; Full time

Benefits offered by this job

Flexible work arrangements

Competitive base pay

Healthcare benefits with company贡献

401K and retirement benefits

Tuition assistance

On-site gyms at Deere locations

Job summary

John Deere is seeking a Software Engineer to join the Dealer Data Lake team in East Moline, IL or Chicago. You will design and develop enterprise-scale data pipelines, models, and data products to enable data-driven decisions across dealer operations.

The role involves cloud data engineering, collaboration across teams, and improving platform scalability and quality. The position requires Python and Spark experience, knowledge of CI/CD, and familiarity with modern cloud data platforms.

Qualifications

• 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 with Microsoft Dynamics FO and CRM systems for dealers network systems

Responsibilities

• Design, develop, and maintain scalable data pipelines and analytics solutions.
• Develop data models that support reporting, business intelligence, and advanced analytics use cases.
• Build, deploy, support, and optimize data products for dealer analytics environments.
• Collaborate with engineering teams to improve platform capabilities, scalability, reliability, and performance.
• Participate in technical discussions involving architecture decisions, engineering best practices, and technical debt reduction initiatives.
• Monitor and improve data quality, consistency, and reliability across distributed data environments.
• Analyze, troubleshoot, and resolve complex data and analytics platform issues.
• Support incident management activities by assisting in the resolution of data defects, outages, and production issues.
• Partner with source system teams, analytics platform teams, and business stakeholders to understand requirements and deliver high-quality data solutions.
• Contribute to CI/CD automation and DevOps practices to improve deployment efficiency and solution quality.
• Document technical solutions, data flows, and engineering processes.

Skills

Python

Spark

Cloud platforms

CI/CD

GitHub Actions

SQL

Data modeling

ETL/ELT

Data quality

Dynamics FO

Education

Bachelor's or Master's degree in computer/software engineering or related

Tools

Microsoft Fabric

Databricks

Power BI

Azure

REST APIs

Job description

John Deere is seeking a Software Engineer to join the Dealer Data Lake team in East Moline, IL or Chicago. You will design and develop enterprise-scale data pipelines, models, and data products to enable data-driven decisions across dealer operations.

The role involves cloud data engineering, collaboration across teams, and improving platform scalability and quality. The position requires Python and Spark experience, knowledge of CI/CD, and familiarity with modern cloud data platforms.