1217 Technical Operations Support Analyst jobs in Dallas,TX

Bachelor's degree in Aviation, Business, Economics, Mathematics, Statistics, Finance, Engineering or related technical field or equivalent experience/training
3 years of related experience
Experience working with and presenting to senior leadership

Gartner

Irving, TX 75039

Applied Materials

Dallas, TX 75221

Paid Relocation to Dallas, TX

Associate degree, recent college graduate, military technical training, trade certification, or equivalent hands-on experience
Basic mechanical aptitude and interest in technical systems
Willingness to learn and read electrical and mechanical schematics
Ability to diagnose and solve basic technical problems
Strong written and verbal communication skills
Basic working knowledge of Microsoft Excel, Word, and PowerPoint
Valid driver's license and ability to obtain a passport, if required for travel
Ability to meet on-site safety, environmental, and customer requirements

McKesson Careers

Irving, TX 75061

Cornerstone Mechanical Services, LLC

Seagoville, TX 75159

McKesson

Irving, TX 75039

12+ years experience of professional experience in related IT field with 4+ years experience in leadership, planning and communication roles.
Deep expertise in Microsoft Azure data services ecosystem (Azure Data Factory, Synapse Analytics, Data Lake Storage, Event Hubs, Cosmos DB)
Advanced proficiency with Databricks platform and advanced analytics workflows
Extensive experience with BI development, administration, and enterprise deployment
Strong foundation in modern data architectures, scalable Lakehouse using Medallion patterns and Unity Catalog; "RAG-ready" infrastructures and AI-driven data observability to automate quality and drift detection, real-time streaming, and event-driven systems
Proficiency in multiple programming languages (Python, Scala, SQL, .NET) and infrastructure
Azure certifications (Azure Data Engineer Associate, Azure Solutions Architect Expert)
Databricks certifications (Professional Data Engineer, Professional ML Practitioner)
Experience in regulated industries (healthcare, financial services, manufacturing)
Master's. Degree in Computer Science, Engineering or equivalent.