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Agronomic Systems Engineer

Aditi ConsultingJohnston, IA🇺🇸United StatesPosted Oct 2, 2026

Why This Role Stands Out

This hybrid role offers an exciting opportunity to develop cutting-edge agronomic models, contributing to advancements in agricultural technology with a competitive hourly rate of $50-$56. You'll thrive here if you're passionate about data science, agronomy, and collaborative problem-solving within a dynamic team environment. Apply today to shape the future of farming with innovative solutions.

Quick Overview

Salary
$50 - $56/hr
Seniority
Mid Senior
Work mode
Hybrid
Location
Johnston, IA, United States
Posted
21 hours ago
DroneSQLTableauDatabricksPower BIPython

Job Description

Payrate: $50.00 - $56.00/hr.
Summary:
This role involves developing and implementing advanced modeling approaches for predicting outcomes of various management scenarios in corn, soybean, and cotton production systems. The position requires collaboration with agronomists, data scientists, software developers, and product managers to ensure the models are agronomically sound and scientifically defensible.
Responsibilities
  • Develop modeling approaches for G x E x M interactions to predict outcomes of management scenarios in diverse geographies.
  • Design and execute model calibration, validation, and sensitivity analyses to quantify model performance and limitations.
  • Understand interactions among genotype, weather, soil, management, and cropping history to define modeling problems and criteria.
  • Work with large, machine-generated agricultural datasets and geospatial datasets.
  • Develop repeatable workflows for processing, summarizing, and visualizing model outcomes.
  • Develop agronomic logic, constraints, and validation frameworks for AI-generated recommendations.
  • Collaborate with various teams to build, scale, and communicate model outcomes.
 
Qualifications
  • Experience with APSIM, DSSAT, or comparable process-based crop models for agricultural decision support.
  • Strong understanding of crop physiology, phenology, soil water dynamics, and nutrient cycling.
  • Expertise in corn and soybean production preferred.
  • Advanced proficiency in R and/or Python for data analysis and model development.
  • Experience with Databricks, SQL, cloud computing environments, and APIs.
  • Demonstrated experience with AI-assisted development.
  • Experience with large multi-environment, multi-year, or multi-management agricultural datasets.
  • Ability to communicate model assumptions, results, and limitations to diverse audiences.
  • Master’s or Ph.D. in agronomy, crop science, soil science, or a related discipline.
 
Skills
  • Experience with precision agriculture technologies and Operations Center.
  • Familiarity with machine-generated datasets and common agronomic data layers.
  • Experience in agronomic model development within the agricultural industry.
  • Experience developing agronomic constraints or validation systems for AI-generated recommendations.
  • Experience integrating drone and satellite data into analytics pipelines.
  • Proficiency in SQL, R, Python, Tableau, Power BI, or similar tools.
 
Pay Transparency: The typical base pay for this role across the U.S. is: $50.00 - $56.00 /hour. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match, life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law. 
Consent to Communication and Use of AI Technology: By submitting your application for this position and providing your email address(es) and/or phone number(s), you consent to receive text (SMS), email, and/or voice communication whether automated (including auto telephone dialing systems or automatic text messaging systems), pre-recorded, AI-assisted, or individually initiated from Aditi Consulting, our agents, representatives, or affiliates at the phone number and/or email address you have provided. These communications may include information about potential opportunities and information. Message and data rates may apply. Message frequency may vary.
You represent and warrant that the email address(es) and/or telephone number(s) you provided to us belong to you and that you are permitted to receive calls, text (SMS) messages, and/or emails at these contacts. You also acknowledge and agree to Aditi Consulting LLC’s use of AI technology during the sourcing process, including calls from an AI Voice Recruiter. AI is used solely to gather data and does not replace human-based decision-making in employment decisions.  Calls may be recorded.
Consent is not a condition of purchasing any property, goods, or services. You may revoke your consent at any time by replying “STOP” to messages or by contacting  .
For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our .
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