Application Guide

How to Apply for Lead Data Engineer

at RMI

🏢 About RMI

RMI is a global nonprofit dedicated to transforming the energy system to secure a clean, prosperous, zero-carbon future. They are data-driven and work with businesses, policymakers, and communities to scale impactful solutions. Working here offers a unique opportunity to apply your technical skills to one of the most critical challenges of our time.

About This Role

As the Lead Data Engineer, you will be a key contributor to RMI's Data and AI Engineering team, building pipelines and infrastructure that enhance access to internal and external data. This role is impactful because it directly supports RMI's mission by enabling data-driven decisions that cut greenhouse gas emissions 50% by 2030. You'll work on cutting-edge AI-enhanced capabilities, integrating LLMs via API and MCP.

💡 A Day in the Life

A typical day might involve collaborating with program teams to understand their data needs, then designing and implementing data pipelines to ingest data from Workday and Salesforce. You might also work on integrating an LLM into an internal tool, testing and deploying it. Throughout the day, you'll participate in stand-ups with the data engineering team and review code, ensuring data quality and security.

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🎯 Who RMI Is Looking For

  • Experienced with cloud data storage and design (e.g., AWS, GCP, Azure) and building scalable data architectures.
  • Proficient in ETL/ELT pipelines and coding languages such as Python, SQL, and possibly Java/Scala.
  • Skilled in integrating LLMs via APIs and MCP for AI-enhanced applications, with a strong understanding of AI/ML concepts.
  • Detail-oriented with a strong desire to support the energy transition and work in a mission-driven environment.

📝 Tips for Applying to RMI

1

Tailor your resume to highlight specific projects where you designed and built data pipelines for internal systems like Workday or Salesforce, and any experience with LLM integrations.

2

In your cover letter, explicitly connect your technical skills to RMI's mission of achieving zero-carbon future by 2030; show you understand the impact of data in this context.

3

Showcase your experience with cloud platforms and ETL/ELT tools (e.g., Airflow, dbt) with concrete metrics (e.g., data volume, processing time).

4

If you have experience with AI/LLM integration, provide examples of projects where you built AI-enhanced applications; mention any familiarity with MCP or similar protocols.

5

Research RMI's recent reports or initiatives (e.g., on energy transition) and mention them in your application to show genuine interest and alignment.

✉️ What to Emphasize in Your Cover Letter

["Emphasize your passion for climate change and energy transition, and how your data engineering skills can directly contribute to RMI's goals.", 'Highlight your technical expertise in cloud data storage, ETL/ELT pipelines, and coding, providing specific examples of past projects.', 'Mention any experience with AI/LLM integration and how you can help build AI-enhanced applications that drive efficiency and innovation.', 'Demonstrate your ability to work collaboratively in a multi-disciplinary team, as the role involves working with various teams across the organization.']

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Read RMI's latest reports on energy transition, such as their '2030' scenarios or any recent publications on electrification, to understand their focus areas.
  • → Explore RMI's website to learn about their data initiatives and any public datasets they provide; understand how data is used in their programs.
  • → Look up RMI's leadership team and their backgrounds to understand the organizational culture and strategic priorities.
  • → Check RMI's blog or news for recent tech-related updates, like any AI or data engineering projects they've announced.
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💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Describe your experience with building ETL/ELT pipelines from systems like Workday or Salesforce; what challenges did you face and how did you overcome them?
2 How would you approach integrating an LLM into an internal application? What are some considerations for security, cost, and accuracy?
3 How do you ensure data quality and governance in your pipelines? Can you give an example?
4 Why are you interested in working at RMI specifically? How do you align with our mission?
5 How do you stay current with emerging data engineering and AI technologies? Provide an example of a recent tool you adopted.
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⚠️ Common Mistakes to Avoid

  • Don't submit a generic cover letter that doesn't mention RMI's mission or specific initiatives; tailor it to show you've done your homework.
  • Avoid focusing solely on your technical skills without connecting them to the impact on the energy transition; this role is mission-driven.
  • Don't overlook the AI aspects of the job; if you lack experience, be honest and explain how you can quickly learn, but don't ignore it in your application.
  • Don't list tools or technologies you're not comfortable with; be prepared to discuss your experience in detail during interviews.

📅 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 RMI!

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