Advanced Agrilytics

Staff Full Stack Software Engineer, Data Architecture and Pipelines

Advanced Agrilytics

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Lead

Tech Stack

AirflowAmazon RedshiftAWSCloudDockerJavaScriptKubernetesNode.jsPostGISPythonReactSQLTypeScript

About the role

  • 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

Requirements

  • 10+ years of experience across software engineering, with significant contributions in both full stack development and data systems
  • Proficiency in React, Node.js, and TypeScript/JavaScript
  • Expertise in SQL, data modeling, and pipeline orchestration, including hands-on experience with Airflow
  • Experience with AWS Redshift (or equivalent cloud data warehouses), including schema design and performance optimization
  • Hands-on experience with AWS (preferred), containerization (Docker, Kubernetes), and CI/CD pipelines
  • Python proficiency for data engineering and automation workflows
  • Geospatial data familiarity (PostGIS, H3, GeoParquet, etc.) is a plus
  • Strong problem-solving, collaboration, and mentorship skills
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