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:

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• Opportunity to own and improve data, reporting, and automation platforms.
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• Collaborative environment with strong cross-functional exposure.
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• Modern technology stack with opportunities for continuous learning and growth.
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• An organization focused on innovation and process improvement.
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• Stability being in Portland nearly 100 years.
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• Generous compensation and benefits package including:
  
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  • 5% 401K match, growing vacation plan, and company paid health for employee.
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Responsibilities of the Data Engineer:

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• Design, build, and maintain data pipelines using SQL, Python, and modern data platforms.
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• Develop and support business automation solutions using Microsoft Power Platform, including Power Apps.
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• Create and maintain data models, datasets, and reporting solutions within Power BI and Microsoft Fabric.
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• Develop recurring and ad hoc reports to support business operations and decision-making.
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• Troubleshoot application, system, and data issues while performing root cause analysis.
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• Support integrations between cloud-based and on-premise systems.
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• Participate in CI/CD initiatives, deployment processes, and DevOps best practices.
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• Maintain documentation for systems, workflows, integrations, and data architecture.
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• Collaborate with business stakeholders to identify opportunities for automation and process improvement.
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Qualifications of the Data Engineer:

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• 3+ years of experience in Data Engineering, Analytics Engineering, Business Applications, or a related technical role.
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• Strong experience with SQL Server and/or PostgreSQL.
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• Hands-on experience with Microsoft Power Platform, including Power Apps, Power Automate, and Dataverse.
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• Experience using Python for automation, scripting, or data processing.
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• Proven experience building and supporting data pipelines and system integrations.
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• Strong troubleshooting, analytical, and problem-solving skills.
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• Excellent communication skills with the ability to partner effectively with business stakeholders.
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Preferred Qualifications:

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• Experience with Microsoft Fabric, Power BI, or other cloud-based data platforms.
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• Familiarity with Airflow or similar workflow orchestration tools.
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• Exposure to Kubernetes, DevOps practices, and CI/CD methodologies.
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• Experience with monitoring and observability tools such as Grafana.
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• Background supporting operational, warehouse, manufacturing, or supply chain environments.
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