Do you thrive at the intersection of full stack engineering and data architecture? Are you a seasoned engineer who’s passionate about building data platforms that fuel innovation in agriculture?

Advanced Agrilytics is seeking an experienced and innovative Staff Full Stack Software Engineer (Data Architecture & Pipelines) to join our team. This position is an exciting opportunity for someone who wants to advance and scale our data and product engineering strategies, in a fast-paced, startup environment. We are building a modern data and application platform to transform how agronomic insights are delivered.

Advanced Agrilytics is a leading agronomy technology company delivering sub-acre agronomic intelligence at scale. Through an integrated ecosystem of data, software, and services, we transform decision-making for growers, consultants, retailers, and manufacturers—powering smarter operations and more profitable acres. Our business spans four complementary areas: agronomy services, software licensing, applied research, and sustainability and funding support, including Section 180 residual fertility valuation reports. Our proprietary spatial agronomic methodology, delivered through products like TerraFraming™ and TerraIntel™, is proven to increase yield consistency, reduce variability, and enhance long-term resilience across every acre. Founded in 2015 in Huntington, Indiana, and headquartered in Indianapolis, we remain committed to helping partners improve profitability and sustainability while building a legacy for generations to come.

How you will help us grow:

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, ensuring it is ready for downstream 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—bringing forward innovations that accelerate our mission

Experience you bring:

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, plus comfort with modern UI/UX patterns and service-based architectures
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