IT Intern - Data Engineer

Weyerhaeuser • Seattle, WA

2d • $25 • Hybrid

About The Position

Weyerhaeuser Company is one of the world's largest private owners of softwood timber and one of the world's largest producers of softwood lumber, hardwood lumber, engineered lumber, softwood market pulp, and containerboard and paper-based packaging products. Our IT teams combine cutting-edge technology to continuously changing inventory to collect, store, transform and report on data to our key business partners.
Weyerhaeuser's Data Management & Analytics team is searching for someone who is passionate and enthusiastic about supporting a data-driven organization. The focus of this internship will be to partner with our data analytic engineers, data platform engineers, data scientists, and business partners to build data products on our modern data platform leveraging cloud-based tools including Snowflake, DBT, and Azure Data Factory, Microsoft Purview, and Power BI. Opportunities are available depending on the intern's skillset to work back-end data ingestion pipelines and platform services, and/or transforming and modelling raw data into actionable insights with certified datasets and dashboards. Our team works with a broad set of internal and external data sources across our core business segments and corporate function teams.
Are you looking for a role that is exciting, and a place where you can innovate and drive valuable insights for our company? Internship is approximately 5 1/2 months beginning July 2026 in Seattle, WA. Hybrid work schedule with in-office days Tuesday-Thursday.

Requirements

• Currently pursuing a bachelor's degree program in Computer Science, Information Systems or a related field or graduated within 6 months of application.
• Experience working or exposure to data services in cloud platforms like Azure, AWS, or Google
• Experience coding in one of the following languages (SQL, Python, Java, DAX, R)
• Demonstrated ability to quickly learn new tools and technologies.
• Experience working with GIT source code control

Nice To Haves

• Exposure or experience with ETL processing tools
• Exposure or experience working with Snowflake, Databricks, or related datalake technology
• Exposure or experience with AI code generation/productivity tools
• Exposure or experience with creating datasets, and data visualizations (Power BI, Tableau, Looker)
• Exposure or experience working with SAP or ERP data sources
• Exposure or experience with machine learning tools

Responsibilities

• Deliver end-to-end data and analytics pipelines and data products, which can include data ingestion, data transformation, data modelling, data quality, data science, AI semantic model development, and data visualization.
• Participate in the entire lifecycle for data application delivery from requirements gathering, design, build, test, and rollout to business stakeholders.
• Identify, develop, and maintain solutions that automate, simplify, and overall improve service delivery.
• Embrace DevOps to quickly deploy high quality solutions with standard CI/CD and IaC practices.
• Partner with cross-functional teammates to help translate business needs into analytical approaches and solutions.
• Communicate findings and recommendations clearly through visualizations, summaries, and presentations.
• Contribute to documentation, testing, and continuous improvement of analytics workflows and data science processes.
• Follow all IT general controls and IT security policies.

What This Job Offers

• Career Level: Intern