4 power platform engineer jobs at 4 companies in Harrisburg, AR
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Analytics Platform Engineer
Memphis, Tennessee, United States
RemoteFull Time
Green Mountain Technology: Technology-enabled parcel logistics management and advisory firm serving large, complex shippers across North America.
3+ YOERequires 3+ years of Power BI, BI development, analytics engineering, data modeling, or reporting platform experience; advanced DAX, Power Query, SQL, semantic modeling, visualization, and governance skills.
Microsoft Power BI, Microsoft Fabric, DAX, Power Query, SQL, OneLake, Lakehouse, Warehouse, Pipelines, Dataflows, Azure DevOps, Git, Jira, Confluence, Tableau, Copilot in Power BI
First Horizon BankNYSE: FHN: Tennessee commercial bank serving consumers, businesses, institutions, and wealth-management clients across the southern United States.
1+ YOEBachelor’s degree or equivalent experience, Splunk administration experience, Splunk Core Certified Power User certification, Git and CI/CD expertise, scripting skills, and knowledge of enterprise networking and logging.
Splunk Cloud, Splunk Enterprise, Universal Forwarders, Deployment Servers, Heavy Forwarders, HTTP Event Collector, syslog, CI/CD, Bitbucket, Git, Jira, Atlassian, Python, PowerShell, Bash, REST APIs, AWS, Microsoft Azure, Google Cloud
Monogram Foods: Private U.S. food manufacturer serving-manufacturing, private-label, and foodservice customers with meat snacks and prepared foods.
3+ YOEBachelor’s degree in Computer Science, Data Analytics, Statistics, or related field; 3–7 years in data analytics; strong Power BI skills; cloud data platforms experience; manufacturing/supply chain a plus.
Power BI, DAX, Power Query, Microsoft Fabric, Azure analytics services, Delta Lake, Microsoft Dynamics 365 Finance & Operations
Meyer Utility Structures: Private Arcosa subsidiary designing and fabricating transmission, distribution, and substation utility structures for infrastructure customers.
5+ YOEBachelor's degree in a related field and 5+ years in software development, analytics, data engineering, AI, or business intelligence. Requires AI implementation, Power BI, SQL, Python or C#, REST APIs, systems integration, and cloud platform experience.