Data Engineer

Job Description
There are 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we're all about at John Deere. And it's why we're investing in our people and our technology like never before in our more than 185 - year history. Here the world's brightest minds are tackling the world's biggest challenges. If you believe one person can make the world a better place, we'll put you to work. RIGHT NOW.

Title: Data Engineer - Ramos

Primary Location: Garza Garcia

Function: Data and Analytics (CA)

John Deere is a foremost leader in the ag equipment business, and we continue to put a solid stamp on other industries. For over 150 years, the company's portfolio of groundbreaking products has grown to include industries related to and outside of agriculture, including Turf, Construction and Forestry and Wind Technologies. The image of John Deere is no longer that of a signature green tractor meandering across a field; it's been replaced with an image of acceleration, swift progress, and innovative leaping toward the company's 200th year. The product line alone serves as proof with advances in machine performance, equipment automation, fleet management, and John Deere's ongoing investment in emerging markets.

Note: All candidates should have their tax situation certificate (Constancia de Siituación Fiscal) up to date with the salary regime to be eligible for the hiring process.
Main Responsibilites

• As a member of the Region 4 Ag & Turf Smart Connected Factory Data team, you will own and optimize the data platform for AI by designing and managing scalable pipelines across EDL, Databricks, and SQL sources. You'll enforce schemas, SLAs, and data lineage to provide reliable, timely data for models and analytics, while implementing rigorous quality controls like testing, anomaly detection, and monitoring to ensure accuracy and trust in AI features and reports.
• You will also strengthen governance and security by applying cataloging, metadata management, and access controls, stewarding PII, and aligning with R4AT AI Governance for compliance and explainability. Collaboration with product, ML, and factory operations teams will be key, as you translate business needs into actionable data contracts and deliver continuous improvements that drive measurable outcomes.

What Skills You Need

• 2+ years Data Engineering — design scalable ELT/ETL (batch/stream), strong SQL, lakehouse modeling (Delta/Parquet), performance tuning and cost-aware design.
• 2+ years Python — PySpark/data tooling, unit & contract tests, robust error handling, code quality (linting, type hints).
• 2+ years Databricks — Jobs/Workflows, Delta Lake, Unity Catalog, Repos/Notebooks; optimize clusters and manage environments/permissions.
• 2+ years SQL & modeling depth — dimensional/semantic modeling for analytics and AI features; query optimization.
• 2+ years Testing & quality engineering — TDD mindset, reproducible pipelines, reconciliation frameworks, drift monitoring.

What Makes You Stand Out

• JavaScript/TypeScript — ability to build or extend data-driven UI components and dashboards for internal tools.
• Power BI — experience creating interactive reports and visualizations; familiarity with DAX and data modeling for analytics.
• Practical AI application — hands-on experience integrating AI/ML solutions into business workflows or data products.
• Collaboration & communication — ability to partner with ML engineers, product owners, and factory ops to translate requirements into actionable data solutions.

Education

• Bachelor's Degree or Equivalent Level in a related technical field (e.g., Computer Science, Information Technology, Software Engineering, or Data Analytics)

This position will be posted for a minimum of 10 business days and unposted when a qualified pool of candidates is achieved.
Candidates must have the necessary work permits to work in the country.