AI & Data Engineering Intern

Posted 4 Days Ago
Be an Early Applicant
Omaha, NE, USA
In-Office
Internship
Greentech • Other
The Role
Supports data-driven irrigation optimization by extracting and cleaning Azure data, performing exploratory analysis, engineering features, developing machine learning models, identifying data quality issues, documenting findings, and collaborating with engineering and product teams. The internship also involves presenting insights and potentially integrating data solutions into production environments.
Summary Generated by Built In
15000 Valmont Plaza Omaha Nebraska 68154

Why Valmont
 

We’re Here to Move the World Forward.

Valmont impacts millions of people around the world every day, yet they might not realize the many ways. Our technology is helping feed the growing population, supplying the world with more reliable energy and access to renewables, enhancing connectivity in remote and urban locations to create a sustainable future and so much more. Simply put, Valmont is advancing agricultural productivity and reimagining vital infrastructure to make life better.

 

Join a Fortune 1000 company that respects hard work, honors diversity and invests in our employees as we focus on creating the world of tomorrow, today. We are the modern workforce. Are you ready to move the world forward? Apply now.

Location: Omaha, NE | Start Date: Spring 2027


A Brief Summary of This Position:


At Valmont, we believe a career here is a career with a future! As a global leader in agriculture and infrastructure, we design solutions that help our customers grow smarter and work more efficiently.


As an AI and Data Engineering Intern within Valmont’s Agriculture Division Software Engineering Department, you’ll play an important role in advancing data-driven decision-making and irrigation optimization. You’ll gain hands-on experience working with cloud-based data systems, developing predictive models, and collaborating with engineering and product teams to deliver impactful data insights.


Valmont’s internship program provides a hands-on learning experience through project work, leadership development, job shadowing, and interaction with senior leaders across the company.


What You’ll Do:


  • Extract, clean, and preprocess data from Azure-based databases
  • Perform exploratory data analysis (EDA) to identify trends, anomalies, and opportunities
  • Engineer features for predictive modeling and decision-making
  • Develop and evaluate machine learning models to support irrigation optimization
  • Document methodologies, findings, and present insights to key stakeholders
  • Collaborate with engineering and product teams to integrate data solutions
  • Identify data quality issues and propose process improvements

What We’re Looking For:


  • Junior, Senior, or recent graduate pursuing a degree in Data Science, Computer Science, Statistics, Engineering, or a related field
  • Proficiency in SQL for data extraction and manipulation
  • Strong programming skills in Python (Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn)
  • Familiarity with cloud platforms such as Microsoft Azure
  • Strong experience in data cleaning, feature engineering, and model development, with the ability to interpret data, solve problems analytically, and translate findings into actionable insights
  • Experience working with time-series or sensor data, particularly in agriculture or environmental contexts, is preferred
  • Familiarity with geospatial analysis tools such as GeoPandas or QGIS is preferred
  • Understanding of precision agriculture, irrigation systems, or agronomy preferred
  • Exposure to MLOps practices and deploying machine learning models in production environments is preferred
  • Experience with dashboarding and data visualization tools like Power BI, Tableau, or Plotly Dash preferred
  • Ability to work in the office, either Tuesday or Thursday

What You’ll Gain:


  • Paid internship with meaningful, career-related work experience
  • Tuition assistance and other benefits available based on hours worked
  • Part-time during the academic year, full-time and flexible in the summer, with potential for a full-time position post-graduation
  • A supportive culture focused on learning and growth
  • Opportunities to collaborate with intern peers and company leaders

Benefits

Valmont offers employees and their families a comprehensive Total Wellbeing benefit package to ensure their individual and family’s overall wellness needs are met. Some offerings are dependent upon the role, work schedule, or location and can include the following:

  • Healthcare (medical, prescription drugs, dental and vision)

  • 401k retirement plan with company match

  • Paid time off

  • Employer paid life insurance

  • Employer paid short-term and long-term disability including maternity leave

  • Work Life Support

  • Tuition Reimbursement up to $5,250 per year

  • Voluntary programs like tobacco cessation, Type 2 diabetes reversal, one-on-one health coaching, mortgage services and more

Valmont does not discriminate against any employee or applicant in employment opportunities or practices on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, veteran status, disability or any other characteristic protected by law.  Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

If you have a disability and require any assistance in filling out the application for employment email [email protected].

Skills Required

  • Pursuing a degree in Data Science, Computer Science, Statistics, Engineering, or a related field
  • Junior, senior, or recent graduate status
  • Proficiency in SQL for data extraction and manipulation
  • Strong programming skills in Python, including Pandas, NumPy, Scikit-learn, and Matplotlib or Seaborn
  • Familiarity with cloud platforms such as Microsoft Azure
  • Experience with data cleaning, feature engineering, and model development
  • Ability to interpret data, solve problems analytically, and translate findings into actionable insights
  • Experience with time-series or sensor data, particularly in agriculture or environmental contexts
  • Familiarity with geospatial analysis tools such as GeoPandas or QGIS
  • Understanding of precision agriculture, irrigation systems, or agronomy
  • Exposure to MLOps practices and deploying machine learning models in production environments
  • Experience with dashboarding and data visualization tools such as Power BI, Tableau, or Plotly Dash
  • Ability to work in the office on Tuesday or Thursday

Valmont Industries, Inc. Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Valmont Industries, Inc. and has not been reviewed or approved by Valmont Industries, Inc..

  • Healthcare Strength — Health coverage includes medical, dental, and vision through major national insurers, alongside employee assistance and wellness initiatives. Some plans also include options like acupuncture and gym memberships.
  • Retirement Support — Retirement offerings include a 401(k) with company matching and opportunities for profit sharing. Eligibility typically follows age and service milestones before participation in certain plans.
  • Leave & Time Off Breadth — Time off benefits include paid holidays, paid sick days, and paid vacation. Family medical leave is also available.

Valmont Industries, Inc. Insights

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The Company
HQ: Omaha, NE
10,001 Employees
Year Founded: 1946

What We Do

Valmont Industries Inc. is a global leader in creating vital infrastructure and advancing agricultural productivity around the world. For over 75 years, we have been committed to Conserving Resources. Improving Life.® Since our founding in 1946, we have pursued opportunities for growth, developed solutions through innovative technology, implemented sustainable practices, and maintained market leadership within dynamic industries. Valmont Industries Inc. (VMI) is publicly traded on the NYSE.

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