Data Engineer Intern

6w1 month ago

Crystal Clean

Boston, US · Internship · $25 – $35/hr

About this role

The Data Engineer Intern supports the Boston Public Health Commission Data Modernization Initiative. This role helps modernize public health data systems through cloud-based engineering, automation, and analytics solutions. The intern contributes to BPHC’s secure cloud based Data Lake ecosystem.

Day-to-day work includes building and testing ELT data pipelines with cloud technologies. The intern supports ingestion and integration of public health data from multiple systems. Additional tasks cover data validation, cleansing, transformation, and quality assurance activities.

The intern collaborates with data engineers, analysts, epidemiologists, and bureaus across informatics, enterprise applications, security, and infrastructure teams. Work occurs within a regulated public health environment that follows secure coding and DevOps best practices.

This internship provides exposure to real-world public health technology initiatives. Projects focus on interoperability, automation, near real-time reporting, and AI-ready data infrastructure that supports decision-making for Boston residents.

Requirements

Familiarity with cloud-based data pipeline technologies and ELT processes
Understanding of data lake architecture and data governance practices
Proficiency in scripting and orchestration tools for workflow automation
Experience with data validation, cleansing, and quality assurance techniques
Knowledge of secure coding and documentation standards
Ability to collaborate across informatics, security, and infrastructure teams

Responsibilities

Assist in building, testing, and maintaining ELT data pipelines using cloud-based technologies
Support ingestion and integration of public health data from multiple data systems
Contribute to the development and optimization of BPHC’s Data Lake architecture
Help automate data workflows and improve operational efficiency using scripting and orchestration tools
Perform data validation, cleansing, transformation, and quality assurance activities
Support development of dashboards, reports, and analytical datasets for public health programs
Assist with troubleshooting pipeline failures, monitoring jobs, and improving system reliability
Follow secure coding, documentation, and DevOps best practices within a regulated public health environment