Through passion and deep industry expertise, MCA Connect helps manufacturers succeed by unlocking innovation with actionable business insights. Our strategic solutions, innovation, and industry intelligence help manufacturers gain visibility, improve profitability, and achieve a competitive edge. Established in 2002, MCA Connect has grown into one of the largest US-based solution partners in Microsoft Business Applications and Azure Data & AI / Digital & App Innovation. Our Microsoft Specialties include Finance and Supply Chain, Analytics on Azure, Data Warehouse Migration, and Power Platform. We’re also a fifteen-time Microsoft Partner of the Year and three-time Inc. Best Workplaces award winner.

   

Senior Azure Cloud Platform/Data Science Engineer

Planning and Decision Systems

Location 

Remote with light travel as needed to client sites 

Employment Type 

Full-time  

We are seeking a Senior Data Science Engineer with strong Python and SQL skills, quantitative judgment, and demonstrated strength in Azure. The role combines data science, data engineering, and software development. Practical working proficiency in Power BI, Microsoft Fabric, and Azure Databricks is required, alongside effective use of AI development tools and independent validation of results.

Experience and education

At least 5 years of relevant professional experience in data science, data engineering, or software engineering, including at least 3 years building, deploying, and supporting workloads in Microsoft Azure. Candidates should demonstrate ownership of deployed solutions and the ability to troubleshoot operational issues.

A bachelor's degree in operations research, business, computer science, data science, information systems, statistics, mathematics, engineering, or a related field, or equivalent demonstrated professional experience. A master's degree is a plus but is not required. A PhD is not required.

Required platform and technical skills

• Microsoft Azure: Strong hands-on capability in data storage and compute, identity and access, secure connectivity, deployment automation, monitoring, troubleshooting, and cost management. Relevant services include ADLS Gen2, Azure SQL, Entra ID, managed identities, Key Vault, and Azure Monitor.
• Power BI: Working proficiency building reports and semantic models, using Power Query and DAX, defining relationships and measures, configuring refresh and row-level security, and reconciling reported metrics to source data.
• Microsoft Fabric: Practical experience with workspaces, OneLake, lakehouses or warehouses, and data pipelines or notebooks. Ability to follow data lineage, manage appropriate access, and diagnose processing or reporting issues.