Engineering Intern

EnergyHubBrooklyn, NY
Remote

About The Position

The Data Engineering team manages data, which is a core element of operating the world’s most inspiring Virtual Power Plant (VPP). Data Engineering brings it all together, from millions of internet-connected devices that use, store, and distribute power to all the clients that use those devices to manage grid load. The team loves data, translation, observability, and quality, and is dedicated to excellence, quality, high-throughput communication, and deep collaboration. Client experience is at the focus of their efforts, but they also serve other internal customers with high-value data and information.

Requirements

  • Sincere love for 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.
  • Awesome ability to bring sanity and clarity to syntactic complexity.

Nice To Haves

  • dbt and Sigma experience.
  • Snowflake Data Warehousing Workshop (Badge 1).
  • dbt Fundamentals.
  • Some monitoring and dashboarding experience (e.g. Snowflake, Sigma, Datadog).
  • A clear understanding of the difference between OLAP and OLTP RDBMS systems and when to recommend one over the other.
  • Knowledge of a variety of file structures such as CSV, JSON, and Parquet, and when one might be preferable over others.
  • Drive and dedication for quality and performance in everything you touch and thirst for learning new techniques.
  • Clear communication (written and verbal).
  • Capable collaboration (in-office and online).
  • Cultivated curiosity.
  • Warmth and welcoming for collaborators, colleagues, and cohort, with an urge to help them succeed and pay their generosity forward to others.
  • Above-average appreciation for alliteration.
  • Well-grounded stance on AI adoption that makes you a stronger, more capable engineer.

Responsibilities

  • Integrate with the Data Engineering team, collaborating as a full-fledged member of the team.
  • Collaborate closely across teams to help build and maintain EnergyHub’s core data products.
  • Pair with and receive mentorship from brilliant engineers from a variety of backgrounds.
  • Deepen knowledge of modern data engineering tools like Snowflake, dbt, Airflow, and Sigma.
  • Work in an agile environment, deepening understanding of translating business and client needs into excellent products.
  • Contribute to mission-critical projects across the data lifecycle through Feature development.
  • Data platform enhancement.
  • Bug fixes (identification & resolution).
  • Automations & efficiency improvements.
  • Pair programming and code review (providing & receiving feedback).
  • Documentation.
  • Monitoring and alerting.
  • Improve monitoring, troubleshooting, and resolution processes.
  • Monitor cloud costs across the toolset to maintain efficiency and justify expenses.
  • Build the absolutely coolest stuff of your career (so far).
  • Help your hiring manager sustainably manage their usage of adjectives and adverbs.
  • Other duties as assigned.

Benefits

  • Mentorship from brilliant engineers.
  • Exposure to a broad spectrum of IoT, SaaS and machine learning obstacles.
  • Opportunity to work directly with executives.
  • Develop expertise across multiple areas of the business.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service