Application Guide
How to Apply for Senior Data Infrastructure Engineer
at Voltus
🏢 About Voltus
Voltus is a climate tech company that connects distributed energy resources (like batteries, solar, and demand response) to optimize grid flexibility. By aggregating these resources, they help reduce carbon emissions and combat climate change, offering a mission-driven environment where your work directly impacts sustainability.
About This Role
As a Senior Data Infrastructure Engineer, you will own and maintain critical data pipeline architectures (ETL, warehousing) that power grid optimization. Your work ensures reliable, high-quality data flows enabling AI-ready analytics, directly supporting Voltus's mission to decarbonize the grid.
💡 A Day in the Life
You'll start by monitoring pipeline health and SLAs, then dive into optimizing a Dagster DAG for new energy data sources. After a standup with analysts, you'll design a data model in dbt for a new analytics use case, and end the day documenting governance policies for data quality.
🚀 Application Tools
🎯 Who Voltus Is Looking For
- Proven experience building and maintaining production-grade data pipelines using Python, dbt, and AWS (e.g., Redshift, S3).
- Hands-on expertise with workflow orchestration tools like Dagster or Airflow, and a strong grasp of data governance and observability.
- Ability to collaborate cross-functionally with analysts and engineers to design scalable data models and infrastructure.
- Passionate about clean energy and grid flexibility, with a track record of delivering reliable data systems under SLAs.
📝 Tips for Applying to Voltus
Highlight specific projects where you built or optimized data pipelines for reliability (e.g., reduced latency, improved SLAs).
Mention any experience with Dagster or similar orchestration tools; if not, show eagerness to learn and adapt quickly.
Tailor your resume to emphasize data quality, governance, and observability implementations (e.g., data lineage, monitoring).
Include examples of collaboration with analytics teams to build scalable data models (e.g., using dbt).
In your cover letter, explicitly connect your work to Voltus's mission: reducing carbon emissions via grid flexibility.
✉️ What to Emphasize in Your Cover Letter
['Your experience with production-grade ETL/ELT pipelines and cloud data platforms (especially AWS).', "How you've implemented data observability and governance to ensure data quality and reliability.", 'Your interest in climate tech and how your skills can help Voltus optimize distributed energy resources.', 'Your ability to collaborate with cross-functional teams to build scalable, AI-ready data infrastructure.']
Generate Cover Letter →🔍 Research Before Applying
To stand out, make sure you've researched:
- → Understand Voltus's product: how they aggregate distributed energy resources and participate in energy markets.
- → Read about their technology stack (e.g., AWS, Dagster, dbt) and any recent blog posts on data infrastructure.
- → Check their career page and LinkedIn for insights into company culture and team values.
- → Learn about the competitive landscape (e.g., other DER aggregators) and Voltus's unique value proposition.
💬 Prepare for These Interview Topics
Based on this role, you may be asked about:
⚠️ Common Mistakes to Avoid
- Submitting a generic resume without highlighting data pipeline reliability or infrastructure ownership.
- Failing to mention specific tools (Dagster, dbt, AWS) or only listing them without context of use.
- Not showing enthusiasm for climate tech or understanding of grid flexibility concepts.
📅 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!