Engineering Intern

EnergyHub

Brooklyn, New York

Full Time

Posted May 4, 2026

$25 - $25

Energy Management

Remote

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Job Description

A data engineering role focused on managing, transforming, and maintaining large-scale data systems to support energy management and virtual power plant operations, with an emphasis on collaboration, quality, and innovative data solutions.

Key Responsibilities

Integrate with the Data Engineering team to develop and maintain core data products.
Collaborate across teams to build, enhance, and troubleshoot data platforms and pipelines.
Contribute to feature development, bug fixes, automation, and performance improvements in data systems.
Implement monitoring, alerting, and troubleshooting processes to ensure data system reliability.
Monitor cloud costs and optimize resource usage for efficiency.
Participate in code reviews, pair programming, and documentation to ensure high-quality deliverables.

Requirements

Sincerely love data and all the things it can enable and empower.
Current enrollment in or immediate graduate of an undergraduate or graduate program in or related to data engineering.
Proficiency in SQL and Python, with experience in dbt and Sigma, and the ability to bring clarity to syntactic complexity.
Knowledge of a variety of file structures such as CSV, JSON, and Parquet, and understanding of when one might be preferable over others.
Drive and dedication for quality and performance in everything you touch, with a thirst for learning new techniques.
Clear written and verbal communication skills, capable collaboration in-office and online, and cultivated curiosity.
Warmth and welcoming attitude for collaborators, colleagues, and cohort, with an urge to help them succeed and pay their generosity forward to others.
Above-average appreciation for alliteration.
A grounded stance on AI adoption that makes you a stronger, more capable engineer.
Knowledge of the difference between OLAP and OLTP RDBMS systems and when to recommend one over the other.
Some monitoring and dashboarding experience, e.g., with Snowflake, Sigma, or Datadog.
Ability to work in an agile environment, translating business and client needs into excellent data products.
Ability to contribute to mission-critical projects across the data lifecycle, including feature development, data platform enhancement, bug fixes, automation, and efficiency improvements.
Experience with pair programming, code review, and providing/receiving feedback.
Experience with monitoring, troubleshooting, and resolution processes to improve operational efficiency.
Ability to monitor cloud costs across the toolset to maintain efficiency and justify expenses.

Benefits & Perks

Compensation/salary range: 25-25 USD (based on qualifications, location, and experience)

Work schedule: Not specified

Work environment perks: Collaboration with a dedicated team, mentorship from experienced engineers, exposure to modern data engineering tools, opportunity to work on mission-critical projects, participation in an agile environment, opportunities for skill development and learning

Additional benefits: Opportunities to work with the latest technologies, contribute to creating a sustainable energy future, impact on climate change, diverse and dynamic environment, exposure to IoT, SaaS, and machine learning challenges, chance to work directly with executives, and contribute to innovative energy solutions