> Markdown version of [/jobs/ext/4013383-data-visualization-engineer](https://www.wearedevelopers.com/jobs/ext/4013383-data-visualization-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Visualization Engineer - **Company:** Macpower Digital Assets Edge LLC - **Location:** Beaverton, OR, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Microsoft Azure, Data Integration, Data Visualization, Software Debugging, Python (Programming Language), Power BI, SQL Databases, Data Pipelines - **Published:** October 29, 2026 - **Apply:** https://www.thejobnetwork.com/job/3fc037cc-ea6b-421d-b5c3-f9e4a365f257/data-visualization-engineer ## About the Role * Strong background in data and visualization engineering. * Proficiency in Python for coding and data integration. * Expertise in SQL for querying and managing data. * Hands-on experience with Azure and AWS cloud environments. * Skilled in Power BI for dashboarding and data visualization. * Ability to follow and debug data code to find the source of truth. Preferred Skills: * Familiarity with financial data or cost analysis. * Experience with automation tools or building automated data workflows. Soft Skills: * Ability to work independently and within a fast-paced team environment. * Strong communication and documentation skills. * Readiness to adapt to team schedules, including DTL weeks in December. ## Description * Work with a team of approximately 10 12 professionals, including principal engineers, domain partners, and finance analysts. * Navigate multiple data sources and trace back data pipelines to identify the true source of information. * Collaborate with software engineers, cost analysts, and finance partners to deliver reliable data insights. * Participate in cross-functional meetings with leadership and domain partners. * Document processes, communicate insights clearly, and support knowledge transfer within the team. * Be available to start as soon as possible.