Sr Azure Data Engineer - ONLY on W2 - Local to Iriving or Chicago - In-person Mandatory

Job Title: Senior Azure Data Engineer Location: Irving, TX OR Chicago, IL (Hybrid 3 days onsite) Job Overview: We are looking for an experienced Senior Azure Data Engineer to design, develop, and maintain scalable data solutions using the Microsoft Azure data platform. The ideal candidate should have strong hands-on experience building data pipelines, working with Azure data services, and developing reliable data integration solutions. Key Responsibilities: Design, develop, and maintain Azure-

Sr Data Architect Client Location - 3 days onsite - Tue, Wed, Thu - Irving, TX - NEED LOCAL ONLY -Duration - 6+ months - CONTRACT TO HIRE - -Interview Process - Video Interview + In-person interview in Irving, tx Must Have - Sr Data Architect - experience in data architecture, data engineering, data warehousing, or related data management roles. Solid in Azure data services Experience building Lakeshouse/Delta lake and Databricks Solid SQL, Apache Spark and PySpark experience Solid comm skills

Azure Data Architect Location: Minneapolis, MN OR Dallas, TX (Onsite) Role Summary Technical Lead - Data Engineering with 10+ years of experience in designing, building, and leading enterprise-scale data platforms and analytics solutions on Azure Cloud. The role requires a strong blend of technical expertise, solution architecture, stakeholder management, and team leadership. Roles, Responsibilities & Skills Lead the design, architecture, and implementation of scalable Data Lakeho

Job Title: Senior Data Architect Location: Irving, TX (Hybrid 3 days onsite) Job Overview: We are looking for a Senior Data Architect with strong experience in data architecture, data engineering, data warehousing, and modern Azure data platforms. The ideal candidate will have hands-on experience designing Lakehouse/Delta Lake architectures using Databricks, along with strong SQL and Apache Spark/PySpark skills. Must-Have Skills: Strong experience in Data Architecture, Data Engineering, Data W