Data Engineer

• Architect Data Systems: Design and implement scalable, secure, and reliable data architectures that support high-volume ingestion, transformation, and analytics
• Build Data Pipelines for AI: Develop robust Airflow-orchestrated pipelines that ingest, transform, and load structured and unstructured agronomic, geospatial, and operational data into Redshift and other data platforms for analytics, BI, and AI/ML-driven applications
• Full Stack Contributions: Contribute hands-on to web applications (React, Node.js) and APIs that deliver data-driven insights to customers and internal teams
• Bridge Data & Applications: Partner with product, data science, and agronomy experts to integrate advanced analytics and predictive models into customer-facing applications
• Elevate Engineering Standards: Establish patterns for data modeling, system design, and code quality; mentor peers and influence engineering best practices
• Stay Ahead of the Curve: Evaluate emerging technologies in cloud computing, data platforms, and AI/ML infrastructure and bring forward innovations that accelerate the mission

Staff Full Stack Software Engineer, Data Architecture and Pipelines

Senior Data Engineer – Consulting

Data Engineer

Senior Principal Data Architecture – Corporate Functions

Data Engineer – Controls & Manufacturing Systems

Lead Data Engineer