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 - SG7 - Torreon
Primary Location: Torreon
Function: Technology (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 185 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 Responsabilities
As a Data Engineer supporting Supply Chain Solutions Data Products, you will design, build, and operate domain-aligned data products that enable reliable, scalable, and business-ready data for analytics, applications, and AI use cases.
You will collaborate with cross-functional teams to transform and harmonize multiple data sources into trusted data products, ensuring high data quality, observability, and usability across the supply chain ecosystem.
In addition, you will:
- Develop and maintain scalable data pipelines for ingestion, transformation, and delivery of data products
- Build curated data product assets (tables, views, APIs) for self-service consumption
- Implement and monitor data quality validations and controls within pipelines
- Ensure data product SLAs for availability, freshness, and reliability
- Support operational activities including monitoring, troubleshooting, and recovery of data pipelines
- Create and maintain documentation (data definitions, transformations, lineage, and usage guidelines)
- Partner with product, engineering, and business stakeholders to translate requirements into data solutions
- Apply data governance, security, and access control practices across data products
What Skills You Need
- Experience building and maintaining data pipelines (ETL/ELT) in cloud environments
- Strong knowledge of data modeling, transformation, and large-scale data processing
- Proficiency in Python and SQL, with experience in distributed processing (e.g., Spark, Databricks)
- Experience using cloud platforms (e.g., AWS services such as S3, Lambda, RDS)
- Experience implementing data quality, monitoring, and observability practices
- Experience building or integrating REST APIs
- Familiarity with CI/CD practices and Git-based workflows
- Strong collaboration and communication skills in Agile teams
What Makes You Stand Out
o Hands-on experience with Databricks, Palantir, and Lakehouse architectures (medallion model)
o Experience working with domain-aligned data products (Data-as-a-Product / Data Mesh)
o Experience defining and operating data SLAs, data contracts, and product-level quality controls
o Knowledge of Supply Chain domains (planning, procurement, logistics, manufacturing)
o Strong focus on data reliability, scalability, and performance
o Ability to translate complex business needs into simple, scalable data solutions
o Experience working in global, cross-functional team environments
Education
o Bachelor’s degree in Computer Science, Information Technology, or a related technical field
o Master’s degree in Data Engineering, Data Science, or a related discipline is preferred
o Equivalent practical experience in data engineering, software development, or data platforms may be considered
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.