Job Description

🌱 Internship Overview

This is a data analytics + agriculture + data engineering focused internship supporting crop sourcing decisions across North America.

The company manages billions of pounds of potatoes, so analytics directly impacts:

• Supply chain planning
• Crop yield forecasting
• Cost optimization
• Food production efficiency

Duration: May – August (Summer Internship)
Pay: ~$22/hour
Location: Kennewick, Washington (USA)

🚜 What You’ll Actually Work On

1️⃣ Crop Analytics & Modeling

You’ll help improve models that predict:

• Crop yields
• Potato quality
• Weather impact
• Input cost effects

This is applied data science in agriculture (AgTech).

2️⃣ Data Engineering Work (Very Valuable Skill)

Key responsibilities:

• Automating ETL pipelines
• Building data connections (APIs)
• Improving data workflows
• Handling large datasets

This is excellent experience because many internships lack real engineering exposure.

3️⃣ Visualization & Business Insights

You’ll build:

• Power BI dashboards
• Reporting tools
• Decision-support analytics

This develops business intelligence + stakeholder communication skills.

4️⃣ Advanced Data Sources

Interesting exposure includes:

• Weather datasets
• Field sampling data
• Satellite imagery
• Agricultural sensors

This is similar to IoT + geospatial analytics domains.

🧠 Skills They Want

Core Skills

• Data modeling / analytics
• ETL pipelines
• Python (or similar)
• Data warehousing
• Automation

Preferred Skills (Big Advantage)

• AWS (S3, Lambda, Glue)
• Power BI
• Snowflake
• Cloud platforms (GCP / Azure)

This shows the internship leans toward Data Engineering + Analytics hybrid.

🎓 Eligibility

You should be:

• Junior / Senior / Master’s student
• In:
  • Data Engineering
  • Computer Science
  • Business Analytics
  • Related field

Preferred GPA: 3.0+

⭐ What Makes This Internship Strong

Compared to many internships:

✅ Real production datasets
✅ Exposure to cloud technologies
✅ End-to-end pipeline experience
✅ Industry impact (supply chain + agriculture)
✅ Mentorship + capstone project

This is better than many “theoretical” internships.

⚠️ Possible Limitations

• Agriculture industry may feel niche
• Not focused on AI/ML research
• Requires U.S. work authorization + driver’s license
• Location-dependent (not remote)

🆚 Compared to Finance / Tech Internships (like Two Sigma)

Feature	Lamb Weston	Finance / Big Tech
Industry	Agriculture / Food	Finance / Tech
Difficulty	Moderate	High
Engineering Exposure	Good	Very High
Pay	Lower	Much higher
Stress	Lower	Higher
Learning	Practical	Advanced
Prestige	Medium	High

🚀 Career Value After Internship

This internship can lead to:

• Data Analyst
• Data Engineer
• Supply Chain Analyst
• AgTech Data Scientist
• Business Intelligence Engineer

Especially valuable if you want industry analytics roles.

🌎 Unique Domain: AgTech

Agriculture analytics is a growing field due to:

• Climate change
• Food supply optimization
• Precision farming
• Satellite monitoring
• AI crop modeling

Many big companies are investing here.

👍 Who Should Apply

Great for students who want:

• Hands-on data experience
• ETL + cloud skills
• Real business impact
• Industry exposure
• Resume-building internship

📈 My Honest Opinion

This is a solid internship if:

✔ You’re early in your career
✔ You want practical skills
✔ You need real project experience
✔ You want data engineering exposure

Not ideal if your goal is:

❌ AI research
❌ Quant finance
❌ Deep learning specialization