Application Guide

How to Apply for Senior Data Engineer

at TeraWatt Infrastructure

🏢 About TeraWatt Infrastructure

TeraWatt Infrastructure is at the forefront of the EV revolution, building the permanent charging infrastructure needed for fleet electrification. As a leader in large-scale turnkey solutions, they combine real estate, capital, and operations to accelerate the transition to electric and autonomous vehicles. Working here means directly contributing to reducing carbon emissions in the transportation sector.

About This Role

As a Senior Data Engineer, you will design and build the data pipelines and systems that power TeraWatt's charging network analytics, optimizing everything from energy usage to site performance. Your work will enable data-driven decisions that scale EV charging infrastructure across the US. This role is critical to ensuring reliable, cost-effective charging solutions for fleets.

💡 A Day in the Life

A typical day might involve designing a new data pipeline for charging station telemetry, reviewing data quality dashboards with the operations team, and collaborating with software engineers to integrate real-time data into the platform. You'll also analyze performance metrics to identify bottlenecks and propose optimizations for cost and reliability.

🎯 Who TeraWatt Infrastructure Is Looking For

  • Expert in building scalable data pipelines using Python and SQL, with experience in cloud platforms (AWS, GCP, or Azure).
  • Proven track record of working with large datasets from IoT devices or energy systems, such as charging station telemetry.
  • Strong understanding of data modeling, ETL processes, and data warehousing (e.g., Snowflake, Redshift).
  • Ability to collaborate with cross-functional teams (software engineers, data scientists, operations) to translate business needs into technical solutions.

📝 Tips for Applying to TeraWatt Infrastructure

1

Highlight experience with streaming data (e.g., Kafka, Kinesis) and real-time processing, as EV charging generates continuous data.

2

Showcase any work with energy industry data (e.g., utility rates, grid load) or IoT sensor data in your resume.

3

Tailor your cover letter to mention TeraWatt's mission of fleet electrification and how your data engineering skills accelerate that.

4

Include links to GitHub or projects demonstrating data pipeline architecture and optimization.

5

Research TeraWatt's current projects (e.g., urban hubs, semi-truck corridors) and mention how your experience applies.

✉️ What to Emphasize in Your Cover Letter

["Your passion for sustainability and the EV transition, and how your data engineering skills directly support TeraWatt's mission.", 'Specific examples of building robust data pipelines for high-availability systems (e.g., uptime monitoring, anomaly detection).', "Experience with geospatial data or mapping (since charging sites are location-based) and how you've used it.", 'Your ability to handle large-scale data volumes and ensure data quality for critical business decisions.']

Generate Cover Letter →

🔍 Research Before Applying

To stand out, make sure you've researched:

  • Understand TeraWatt's value proposition: turnkey solutions for fleet electrification, including real estate, capital, and operations.
  • Review their case studies or blog posts about specific charging hubs (e.g., urban mobility hubs, semi-truck corridors).
  • Learn about the EV charging industry's data challenges: interoperability, grid integration, and demand forecasting.
  • Check their leadership team and recent news to understand company culture and strategic direction.

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Design a data pipeline for ingesting real-time charging session data from thousands of stations and aggregating for analytics.
2 How would you handle data quality issues in telemetry data (e.g., missing or erroneous readings)?
3 Describe your experience with cloud infrastructure for data engineering (specific services, cost optimization).
4 How would you model data to support both operational dashboards and long-term trend analysis?
5 Tell us about a time you collaborated with non-technical stakeholders to define data requirements.
Practice Interview Questions →

⚠️ Common Mistakes to Avoid

  • Submitting a generic resume without highlighting relevant experience in IoT, energy, or real-time data.
  • Failing to demonstrate understanding of the EV charging ecosystem and its data complexities.
  • Focusing only on technical skills without showing business impact or collaboration with non-technical teams.

📅 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 TeraWatt Infrastructure!