Application Guide
How to Apply for Data Engineer
at SurplusMap
🏢 About SurplusMap
SurplusMap is revolutionizing EV charging infrastructure by creating seamless, data-driven green solutions worldwide. Their unique approach combines geospatial analysis with energy load forecasting to optimize charging networks, making them a leader in sustainable technology innovation. Working here means contributing directly to the global transition to electric vehicles.
About This Role
This Data Engineer role involves designing and maintaining data pipelines for EV charger utilization and energy forecasting using Google Cloud products like BigQuery. You'll collaborate closely with data science teams to support AI-powered models and build robust transformation workflows with DBT/Dataform. Your work will directly impact how efficiently EV charging networks operate globally.
💡 A Day in the Life
A typical day might involve collaborating with data scientists to refine data requirements for charger utilization models, optimizing BigQuery queries for geospatial analysis of charging station locations, and building new DBT transformations to prepare data for energy forecasting. You'd likely review pipeline performance metrics and work on automating data quality checks for incoming charging station data streams.
🚀 Application Tools
🎯 Who SurplusMap Is Looking For
- Has hands-on experience building ETL pipelines in Google Cloud environment, specifically with BigQuery optimization
- Can demonstrate practical SQL skills for querying large datasets related to geospatial or time-series data
- Has worked with DBT or Dataform to create maintainable data transformation workflows
- Understands how to support AI/ML models through clean data pipelines and has basic Python scripting skills
📝 Tips for Applying to SurplusMap
Highlight specific Google Cloud projects where you optimized BigQuery performance or cost
Include metrics in your resume showing how your data pipelines improved efficiency (e.g., 'reduced query time by X%')
Mention any experience with geospatial data or time-series forecasting relevant to EV charging
Describe a specific DBT/Dataform project where you built transformation workflows
Connect your experience to sustainability or green tech initiatives if possible
✉️ What to Emphasize in Your Cover Letter
["Your experience with Google Cloud data products and how you've optimized data storage/querying", 'Specific examples of building data pipelines that supported AI/ML models or forecasting systems', 'How your work with DBT/Dataform improved data quality or transformation efficiency', "Why you're passionate about applying data engineering to sustainable energy solutions"]
Generate Cover Letter →🔍 Research Before Applying
To stand out, make sure you've researched:
- → SurplusMap's specific EV charging solutions and their current geographic footprint
- → Industry challenges in EV charging infrastructure and data management
- → Google Cloud's latest features for geospatial data analysis and time-series forecasting
- → How data engineering supports sustainability goals in the EV sector
💬 Prepare for These Interview Topics
Based on this role, you may be asked about:
⚠️ Common Mistakes to Avoid
- Generic descriptions of SQL or cloud experience without specific metrics or project details
- Focusing only on technical skills without showing understanding of the EV/sustainability context
- Claiming DBT/Dataform experience without being able to describe specific transformation workflows you built
📅 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:
Application Review
1-2 weeks
Initial Screening
Phone call or written assessment
Interviews
1-2 rounds, usually virtual
Offer
Congratulations!