Note: The job is a remote job and is open to candidates in USA. Ascendion is seeking an AI Data Engineer 1 to modernize Azure hardware planning, roadmap management, and reporting. The role focuses on implementing generative AI and workflow automation, integrating enterprise data, and developing Power BI dashboards to improve operational efficiency and decision-making.
Responsibilities
- Help modernize Azure hardware planning, roadmap management, and reporting through AI-driven solutions, workflow automation, and Power BI dashboards
- Streamlining workflows across SharePoint, Azure DevOps (ADO), Excel, and enterprise databases to improve data accessibility, accuracy, and decision-making
- Contribute to AI-enabled transformation of Azure hardware planning and reporting
- Build practical generative AI and automation solutions that reduce manual work
- Develop interactive Power BI dashboards that improve enterprise visibility and decision-making
- Gain exposure to Microsoft Azure business operations, enterprise data integration, and AI-driven workflows
Skills
- Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related field, or equivalent practical experience
- Experience in data engineering, business intelligence, analytics, or workflow automation
- Demonstrated experience implementing AI solutions to improve workflows or operational efficiency
- Hands-on experience building production generative AI solutions using technologies such as Azure OpenAI, Copilot Studio, AI Builder, or Microsoft 365 Copilot
- Strong Power BI expertise, including:
- Data modeling and dashboard development
- DAX and Power Query (M)
- Data refresh and deployment
- Row-level security (RLS)
- Experience with Azure DevOps queries, Analytics/OData, and REST APIs
- Experience with Power Automate, SharePoint Online, and advanced Excel
- Strong SQL and Python skills for data processing, integration, and automation
- Excellent communication skills and the ability to translate business needs into practical technical solutions
- Candidates must be prepared to demonstrate a previous project in which they implemented AI to improve workflow or operational efficiency
- Experience with hardware planning, supply chain, product roadmaps, or portfolio management data
- Experience optimizing AI workloads or implementing AI solutions in enterprise environments
- Familiarity with Microsoft Fabric, Dataverse, or Kusto Query Language (KQL)
- Experience with Power Platform application lifecycle management (ALM) and Git
- Microsoft certifications in Power BI, Fabric, Power Platform, or Azure AI
- Previous Microsoft experience is a plus
Benefits
- Medical insurance, subject to applicable eligibility requirements
- Dental insurance, subject to applicable eligibility requirements
- Vision insurance, subject to applicable eligibility requirements
- 401(k) retirement plan, subject to applicable eligibility requirements
- Long-term disability insurance, subject to applicable eligibility requirements
- Short-term disability insurance, subject to applicable eligibility requirements
- Personal days accrued each calendar year; paid time off benefits meet the paid sick and safe time laws that pertain to the City/State, subject to applicable eligibility requirements
- 12–15 days of paid vacation time, subject to applicable eligibility requirements
- 6–8 weeks of paid parental leave after a year of service, subject to applicable eligibility requirements
- 9 paid holidays and 2 floating holidays per calendar year, subject to applicable eligibility requirements
- Ascendion Learning Management System, subject to applicable eligibility requirements
- Tuition Reimbursement Program, subject to applicable eligibility requirements
- Remote work; candidates must be able to work in the PST time zone
Company Overview
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