Data & Platform Engineer
Role details
Job location
Tech stack
Job description
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., * 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.
Requirements
Do you have experience in Systems integration?, * 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., * 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.
Benefits & conditions
4.04.0 out of 5 stars Beaverton, OR Hybrid work $100,000 - $120,000 a year, Pulled from the full job description
- 401(k) matching
- 401(k) 5% Match, * 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.