Job Description
This internship offers hands-on experience in data engineering within the energy management sector, focusing on developing and improving data pipelines, monitoring systems, and supporting scalable energy programs for utility clients.
Key Responsibilities
- Collaborate with engineers and receive mentorship to develop data engineering skills
- Own and manage a high-impact data project during the internship
- Work in an agile environment to translate product requirements into functional products
- Improve monitoring, troubleshooting, and resolution processes for energy products
- Enhance production data pipelines to reduce technical debt and ensure efficient data processing
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.
- Experience with modern data engineering tools such as dbt and Sigma.
- Ability to bring sanity and clarity to syntactic complexity in data-related tasks.
- Some monitoring and dashboarding experience with tools such as Snowflake, Sigma, or Datadog.
- A clear understanding of the difference between OLAP and OLTP systems.
- A basic familiarity with file structures like CSV, JSON, and Parquet.
Benefits & Perks
Compensation/salary range: 25-25 USD
Work schedule: Three-month internship
Work environment perks: Mentorship from experienced engineers, collaboration in an agile environment, exposure to latest technologies, opportunity to work directly with executives
Additional benefits: Gain experience in data engineering tools (Snowflake, dbt, Airflow, Sigma), contribute to impactful projects related to energy and climate, diverse and dynamic environment, opportunity to make a positive climate impact
Ready to Apply?
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