Data Engineer

Company Description PV Doctor is an Asset Performance Management provider dedicated to maximizing solar PV asset performance and resolving under-performing systems. The company offers services such as smart and preventive operations and maintenance (O&M), rectifications, special investigations, repowering, audits, and performance assessments. PV Doctor also delivers technical support to enhance monitoring, diagnostics, and overall solar asset performance. Team members collaborate with solar industry stakeholders to drive data-informed improvements in renewable energy systems.

Role Description This is a remote internship role for a Data Engineer at PV Doctor. The intern will assist in designing, building, and maintaining data pipelines to support analysis of solar PV asset performance. Day-to-day tasks include working with raw operational data, implementing ETL processes, supporting data modeling and data warehousing initiatives, and ensuring data quality and reliability for reporting and diagnostics. The role also involves collaborating with engineering and operations teams to translate business requirements into data solutions and contributing to performance analytics to identify under-performing assets and optimization opportunities.

Qualifications

• Foundational knowledge of data engineering concepts, including Data Engineering and Extract Transform Load (ETL) processes.
• Ability to design and interpret data structures using Data Modeling and Data Warehousing skills.
• Competence in analyzing datasets and communicating insights through Data Analytics.
• Experience or coursework with SQL and at least one programming language commonly used in data (e.g., Python, Java, or Scala).
• Familiarity with cloud data platforms or databases (e.g., AWS, Azure, GCP, or relational/NoSQL databases) is beneficial.
• Strong problem-solving skills, attention to detail, and the ability to work independently in a remote environment.
• Interest in renewable energy, solar PV systems, or asset performance management is an advantage.
• Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, or a related field.