Data Engineer

• Perform intermediate-level data warehouse architecture
• Create data models for moderate to advanced subjects
• Create ETL specifications to meet business data needs
• Develop and maintain design and operation documentation
• Analyze data sources and recommend solutions, including risks and mitigation
• Participate in long-term data warehouse and dashboard architecture planning
• Create and manage data warehouse and analytics architectures for solution development
• Propose requirements, standards, and best practices for data modeling, ETL specifications, and data warehouse development
• Review existing systems for compliance with established standards and to empower business operations
• Conduct product and vendor research and present recommendations to database developers and/or management
• Establish and maintain relationships with vendors and equipment suppliers, including installation and repair of services

IS Data Warehouse Architect, II

• Design and implement production-grade enterprise data architectures
• Build and support batch and real-time data architectures
• Develop hands-on ETL/ELT pipelines using Python and SQL
• Design real-time analytics, event-driven architectures, and streaming data pipelines
• Integrate Treasure Data/CDP with enterprise data platforms
• Build AI-ready data pipelines, semantic search, vector-search, and RAG infrastructure
• Support modern AI/ML and Generative AI applications with enterprise data platforms
• Work with Snowflake, Databricks, AWS, Azure, or GCP data engineering services
• Implement CDC/Debezium and incremental data processing solutions

Senior Data Architect – Treasure Data, CDP, Snowflake, Databricks, Kafka

• Design and implement production-grade enterprise data architectures
• Build and support hands-on ETL/ELT, Python, and SQL data pipelines
• Design enterprise data warehouse/lakehouse platforms supporting modern AI/ML and Generative AI applications
• Design batch and real-time data architectures
• Build real-time analytics, event-driven architectures, and streaming data pipelines
• Implement CDC/incremental data processing using CDC or Debezium
• Develop AI-ready data pipelines, semantic search, RAG/vector-search infrastructure, and Generative AI data architectures
• Integrate enterprise data with platforms such as Azure OpenAI, AWS Bedrock, Vertex AI, Databricks Mosaic AI, or Snowflake Cortex
• Work with Treasure Data / Treasure Data CDP and cloud data platforms including AWS, Azure, GCP, Snowflake, or Databricks

Senior Data Architect

• Apply health care and database management knowledge to analyze clinical data
• Identify and report trends
• Design and build modern data-centric software applications supporting clinical and operational processes across the healthcare system
• Build data pipelines and transformations
• Develop data enrichment processes and provisioning layers
• Build user interfaces for key initiatives
• Mentor and assist less experienced Data Engineers
• Participate in research and development of new technologies
• Establish repeatable processes or templates for Data Engineers
• Collaborate with Product, Platform, and Architecture teams
• Use meticulous source control and documentation
• Apply simple solutions to complex problems using modern and emerging methods and tools

Data Engineer jobs in Oregon

IS Data Warehouse Architect, II

Senior Data Architect – Treasure Data, CDP, Snowflake, Databricks, Kafka

Senior Data Architect

Senior Data Engineer