Data & Platform Engineer
Data & Platform Engineer Location: Beaverton, OR (Hybrid – 1 Remote Day Per Week After Onboarding) Comp Range: $100,000-120,000 DOE A growing organization is seeking a Data Engineer – Power Platform & Analytics to join its technology team. This individual will play a key role in designing, building, and supporting the data infrastructure, business applications, and automation solutions that drive operational efficiency and business decision-making. This is an excellent opportunity for a hands-on engineer who enjoys solving complex business problems, building scalable solutions, and working closely with stakeholders across the organization. What You'll Find at This Company: Opportunity to own and improve data, reporting, and automation platforms. Collaborative environment with strong cross-functional exposure. Modern technology stack with opportunities for continuous learning and growth. An organization focused on innovation and process improvement. Stability being in Portland nearly 100 years. Generous compensation and benefits package including: 5% 401K match, growing vacation plan, and company paid health for employee. Responsibilities of the Data Engineer: Design, build, and maintain data pipelines using SQL, Python, and modern data platforms. Develop and support business automation solutions using Microsoft Power Platform, including Power Apps. Create and maintain data models, datasets, and reporting solutions within Power BI and Microsoft Fabric. Develop recurring and ad hoc reports to support business operations and decision-making. Troubleshoot application, system, and data issues while performing root cause analysis. Support integrations between cloud-based and on-premise systems. Participate in CI/CD initiatives, deployment processes, and DevOps best practices. Maintain documentation for systems, workflows, integrations, and data architecture. Collaborate with business stakeholders to identify opportunities for automation and process improvement. Qualifications of the Data Engineer: 3 years of experience in Data Engineering, Analytics Engineering, Business Applications, or a related technical role. Strong experience with SQL Server and/or PostgreSQL. Hands-on experience with Microsoft Power Platform, including Power Apps, Power Automate, and Dataverse. Experience using Python for automation, scripting, or data processing. Proven experience building and supporting data pipelines and system integrations. Strong troubleshooting, analytical, and problem-solving skills. Excellent communication skills with the ability to partner effectively with business stakeholders. Preferred Qualifications: Experience with Microsoft Fabric, Power BI, or other cloud-based data platforms. Familiarity with Airflow or similar workflow orchestration tools. Exposure to Kubernetes, DevOps practices, and CI/CD methodologies. Experience with monitoring and observability tools such as Grafana. Background supporting operational, warehouse, manufacturing, or supply chain environments. LI-EM1 INJUN2026 LI-hybrid