Application Guide

How to Apply for Internship Data Engineer

at SurplusMap

🏢 About SurplusMap

SurplusMap is revolutionizing EV charging infrastructure with data-driven green solutions, making sustainable transportation more accessible worldwide. Their focus on seamless integration and AI-powered optimization sets them apart in the clean energy tech space. Working here means contributing directly to reducing carbon emissions through innovative data engineering.

About This Role

This internship involves building and maintaining data pipelines using Google Cloud products to support AI models for EV charger utilization and energy forecasting. You'll work directly with engineering and data science teams to transform raw data into actionable insights that optimize charging infrastructure globally. Your work will directly impact how efficiently renewable energy is distributed to electric vehicles.

💡 A Day in the Life

You might start by monitoring data pipeline performance in Google Cloud, then collaborate with data scientists to refine transformation logic in DBT for charger utilization models. After lunch, you could optimize BigQuery queries for geospatial analysis of charging station locations, followed by a team sync to align on upcoming AI model requirements for energy forecasting.

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Interview Prep

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🎯 Who SurplusMap Is Looking For

  • Has hands-on experience with Google Cloud products, especially BigQuery, and can demonstrate specific projects using these tools
  • Can write complex SQL queries for large datasets and understands how to optimize them for performance
  • Has practical experience with DBT or Dataform for creating data transformation workflows, not just theoretical knowledge
  • Understands ETL pipeline design principles and can discuss trade-offs between different data storage and processing approaches

📝 Tips for Applying to SurplusMap

1

Highlight specific Google Cloud projects where you used BigQuery for data analysis or pipeline development

2

Include a GitHub link or portfolio showing DBT/Dataform transformations you've built, even if in academic projects

3

Mention any experience with geospatial data or time-series forecasting relevant to EV charging patterns

4

Demonstrate understanding of how data engineering supports sustainability goals by connecting your experience to green tech

5

Show how you've collaborated with data science teams previously, as this role requires close cross-functional work

✉️ What to Emphasize in Your Cover Letter

['Your hands-on experience with Google Cloud data products and specific BigQuery projects', "How you've used DBT or similar tools to create maintainable data transformation workflows", 'Your understanding of how data pipelines support AI/ML models, particularly for forecasting or optimization', "Why you're passionate about applying data engineering to sustainability and EV infrastructure challenges"]

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Study SurplusMap's existing products and how they use data to optimize charging station placement and utilization
  • → Research current challenges in EV charging infrastructure that data engineering could help solve
  • → Look into how geospatial analysis is used in renewable energy and transportation planning
  • → Understand the regulatory and technical landscape of EV charging networks in different regions

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Walk me through how you would design an ETL pipeline for EV charging station usage data in Google Cloud
2 How would you optimize a slow-running BigQuery query that joins multiple large tables of charging session data?
3 Describe a time you used DBT or Dataform to transform raw data into analysis-ready tables
4 How would you approach building a data pipeline to support energy load forecasting models?
5 What metrics would you track to measure the performance and reliability of EV charging data pipelines?
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⚠️ Common Mistakes to Avoid

  • Listing Google Cloud certifications without concrete project examples using BigQuery or other GCP data tools
  • Using generic data engineering terms without showing understanding of how they apply to EV/sustainability domains
  • Focusing only on Python skills without emphasizing the SQL and cloud data tool requirements listed in the job description

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

Ready to Apply?

Good luck with your application to SurplusMap!

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