About the role

  • Data Developer internship at AIMCo, building data products and analytics. Collaborate on data engineering and visualization projects while contributing to impactful financial outcomes.

Responsibilities

  • Develop data pipelines to extract, load, and transform data from various sources into cloud-based data warehouses and data lakes.
  • Design and implement data processing workflows that are highly optimized for their cloud-native environment.
  • Collaborate with senior developers and data architects to design and implement scalable and reliable data architectures on cloud platforms.
  • Assist with monitoring and maintaining the performance of cloud-based data warehouses and data pipelines, troubleshoot issues, and optimize query performance.
  • Work with data analysts to understand data requirements and design data models that enable effective reporting and analysis.

Requirements

  • Pursuing an undergraduate degree in Computer Science, Software Engineering, Mathematics, or a related field
  • Proficiency in Python and SQL for data manipulation and analysis
  • Experience with Power BI for data visualization and reporting
  • Familiarity with Spark and ETL processes for data integration
  • Understanding of Software Development Life Cycle (SDLC) principles
  • Knowledge of version control systems such as Git
  • Strong ability to communicate technical concepts clearly to both technical and non-technical stakeholders
  • Analytical and problem-solving skills with attention to detail
  • Ability to learn new technologies quickly and adapt to changing project requirements
  • Demonstrates a strong commitment to AIMCo’s core values of excellence, transparency, humility, integrity and collaboration, and inspires the same in others.

Benefits

  • Inclusive, modern workplace
  • Flexible, hybrid approach to work
  • Professional development

Job title

Student Data Developer – Summer 2026

Job type

Experience level

Entry level

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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