Data Engineer: AI-Driven Data Platform & Pipelines

Weyerhaeuser; Seattle (WA); On-site; USD 99,000 - 148,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Weyerhaeuser is seeking a Data Engineer to design and operate a scalable data platform that powers reporting, analytics, and AI across the enterprise. The role emphasizes building reliable, well-governed pipelines and leveraging AI-assisted development to deliver AI-ready data products.

You will collaborate with source-system owners, analytics engineers, data scientists, and analysts to ensure data quality and timely delivery in a fast-paced environment, with a Seattle-based office location.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering or equivalent experience.
• 4+ years of hands-on data engineering building and operating production data pipelines.
• Proficiency in Python and SQL for data transformation and automation.
• Experience with cloud data platforms (Azure) and orchestration/ingestion tools.
• Experience with dbt or comparable transformation frameworks and data quality practices.

Responsibilities

• Ingest and integrate data from multiple sources using scalable pipelines.
• Develop Python-based ingestion logic and REST API integrations.
• Build and maintain data models (bronze to silver) and semantic views for AI-ready datasets.
• Orchestrate end-to-end workflows with Azure Data Factory; monitor reliability and handle incidents.

Skills

Python

SQL

Azure Data Factory

Azure Functions

dbt

Snowflake

Terraform

Git

CI/CD

AI/LLM tooling

Communication

Reliability engineering

Data quality

Education

Bachelor’s degree in Computer Science, Information Systems, Engineering or equivalent experience

Tools

Azure Data Factory

Azure Functions

dbt

Snowflake

Terraform

Git

CI/CD tooling

Power BI

Event Hubs / Kafka (optional)

Job description

Weyerhaeuser is seeking a Data Engineer to design and operate a scalable data platform that powers reporting, analytics, and AI across the enterprise. The role emphasizes building reliable, well-governed pipelines and leveraging AI-assisted development to deliver AI-ready data products.

You will collaborate with source-system owners, analytics engineers, data scientists, and analysts to ensure data quality and timely delivery in a fast-paced environment, with a Seattle-based office location.