Columbia Forest Products is seeking a Data Engineer Intern to join their Data & Analytics team. The role involves building and improving data pipelines, modeling data, and preparing datasets for Power BI reporting, while collaborating with various stakeholders to ensure data quality and usability.
Responsibilities:
- Model & Query Data: Use relational database concepts to design tables/views and write performant SQL for data transformations and validation
- Enable Analytics: Prepare clean, well‑documented datasets/dataflows that power Power BI reports and dashboards used by operations and leadership
- Pipeline Support: Assist in building, monitoring, and troubleshooting data pipelines; exposure to Azure Data Factory orchestration is a plus
- Data Quality: Help define checks, reconcile source vs. target, and document data lineage to increase trust in published data
- Collaboration: Work with analysts, engineers, and business partners to clarify requirements, iterate quickly, and translate needs into reliable data assets
- Documentation: Maintain clear SOPs, code comments, and handoffs so work is reproducible and supportable by the team
Requirements:
- Currently pursuing a Bachelor's in Information Science, Computer Science, Data/Analytics, Information Systems, or related field
- Python experience is welcome but not required
- Experience or interest in Azure Data Factory is a plus