Analytics Data Engineer II

Role Overview

As an Analytics Data Engineer within the Enterprise Aftermarket Data & Analytics (EADA) organization at John Deere, you will lead the development and architecture of scalable data engineering solutions and drive best practices across the Descriptive Analytics team.

What You Will Do

Partner with analytics practitioners, data catalysts, and business stakeholders to align technical solutions with business needs; Develop, deploy, maintain, and continuously improve aftermarket analytics data products that power insights and applications used to drive aftermarket growth and enhance customer experience.

Why It Might Be a Fit

Experience with leading technical teams or mentoring others; Experience with Agile/Scrum methodologies and iterative development; Strengths in statistics and exploratory data analysis (hypothesis testing, probability modeling, regression, and classification)

Requirements

• Bachelor’s or Associate/Technologist degree in Computer Science, Information Technology, Information Systems, or a related field;
• Advanced or Fluent English proficiency with the ability to communicate effectively in technical discussions, documentation, and day-to-day collaboration;
• Experience in analytics, data engineering, or a similar role;
• Strong proficiency in SQL, Python, Pyspark, Databricks, and GitHub;
• Experience managing complex data pipelines, workflows, and production datasets;
• Experience with AI-assisted coding practices and development within VSCode;
• Familiarity with Tableau, PowerBI, or similar;
• Demonstrated ability to achieve strong business outcomes through technical solutions;
• Proven ability to manage multiple complex projects in parallel;
• Exceptional communication and interpersonal skills;
• Demonstrated ability to make those around you better and contribute to a positive and collaborative team culture;

Benefits

• Variable compensation
• Health Insurance
• Dental Plan
• Life Insurance
• Private Pension Plan
• Vision Care Benefit
• Vaccination reimbursement
• Corporate University
• TotalPass
• Depending on the location, on-site cafeteria, meal voucher, or food allowance
• Pharmacy assistance

Tagged as: Compensation Design, Data Analysis, Power BI, Python, SQL, Tableau