The Page Group is seeking a highly skilled Data Engineer to join one of our clients in Hillsboro, OR. This is a unique opportunity to drive innovation, optimize processes, and contribute to cutting-edge technology in a high-tech environment.Position ResponsibilitiesAs a Data Engineer, you will play a pivotal role in building and managing the data infrastructure that powers critical business decisions. Key responsibilities include:Data Pipeline Development & ManagementDesign, implement, and maintain scalable data pipelines to process data from diverse sources such as sensors, production systems, and chemical processes.Optimize data ingestion, transformation, and storage for real-time and batch analysis.Data ArchitectureDevelop and enhance data models, schemas, and storage solutions to support analytics and reporting.Collaborate with IT and cloud teams to ensure secure, reliable, and scalable environments using platforms like AWS, Azure, or GCP.Collaboration with Cross-Functional TeamsPartner with data scientists, process engineers, and R&D teams to translate business needs into actionable data solutions.Deliver clean, documented datasets to support analytics and machine learning applications in semiconductor cleaning.Data Quality AssuranceEnforce data quality standards to ensure consistency, accuracy, and completeness.Implement validation, cleansing, and error-checking mechanisms to enhance data integrity.Automation & MonitoringAutomate recurring processes, tasks, and reports to boost efficiency.Develop dashboards and tools for real-time data flow and KPI monitoring.Data Security & ComplianceSafeguard sensitive data by adhering to industry standards and regulations.Collaborate with IT security teams to protect data throughout its lifecycle.Innovation & Continuous ImprovementStay updated on emerging trends in data engineering and chemical cleaning processes.Drive the adoption of new technologies to enhance data capabilities.Skills & ExperienceEducation & ExperienceBachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.5+ years of experience as a Data Engineer, Data Architect, or similar role, preferably in semiconductor, chemical processing, or manufacturing.Technical ExpertiseProficiency in tools like SQL, Python, Apache Spark, and ETL frameworks.Experience with cloud platforms (AWS, GCP, Azure) and big data technologies.Strong understanding of relational and non-relational databases (PostgreSQL, MySQL, NoSQL).Familiarity with data warehousing, data lakes, and distributed computing concepts.Knowledge of containerization (Docker, Kubernetes) is a plus.Industry KnowledgeExperience with semiconductor, chemical cleaning solutions, and industrial automation is highly desirable.Other SkillsData visualization expertise with tools like Power BI or Tableau.Strong problem-solving and critical-thinking skills in a fast-paced environment.Excellent communication skills to convey technical concepts to non-technical stakeholders.Why Join?Work on cutting-edge technologies in a dynamic, high-tech industry.Collaborate with a passionate, innovative team.Opportunity to drive meaningful change and innovation.