TMT IT Solutions
Overview
We are looking for an experienced AI Data Engineer to join our client’s on-site data engineering and analytics team in Spring, Texas. The ideal candidate will have a strong background in data modeling, AI/ML integration, and business intelligence development using Snowflake, DBT, and Power BI. Responsibilities
Design and build scalable data pipelines to support AI/ML model development and deployment. Work closely with data modelers to structure datasets for model training and inference. Transform and test data models using DBT and automate EL processes via Azure Data Factory (ADF). Integrate AI-powered analytics and predictive insights into Power BI dashboards. Develop DAX measures and semantic models for advanced business intelligence reporting. Leverage Azure Cognitive Services, OpenAI, or custom ML models to enhance analytics capabilities. Ensure data quality, performance optimization, and model monitoring across all layers. Required Skills
Core Tools: SQL, DBT, ADF, DAX, Power BI, Snowflake AI/ML Integration: Experience embedding ML models within data pipelines or BI systems Data Modeling: Strong understanding of normalization, denormalization, star/snowflake schema design Cloud Platform: Microsoft Azure (data storage, orchestration, and AI services) Programming: SQL, DAX (Python or R a plus) Visualization: Power BI development and performance tuning Preferred Certifications SnowPro® Core / Advanced (Data Analyst or Data Engineer) Seniority level
Mid-Senior level Employment type
Contract Job function
Design Industries
IT Services and IT Consulting
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We are looking for an experienced AI Data Engineer to join our client’s on-site data engineering and analytics team in Spring, Texas. The ideal candidate will have a strong background in data modeling, AI/ML integration, and business intelligence development using Snowflake, DBT, and Power BI. Responsibilities
Design and build scalable data pipelines to support AI/ML model development and deployment. Work closely with data modelers to structure datasets for model training and inference. Transform and test data models using DBT and automate EL processes via Azure Data Factory (ADF). Integrate AI-powered analytics and predictive insights into Power BI dashboards. Develop DAX measures and semantic models for advanced business intelligence reporting. Leverage Azure Cognitive Services, OpenAI, or custom ML models to enhance analytics capabilities. Ensure data quality, performance optimization, and model monitoring across all layers. Required Skills
Core Tools: SQL, DBT, ADF, DAX, Power BI, Snowflake AI/ML Integration: Experience embedding ML models within data pipelines or BI systems Data Modeling: Strong understanding of normalization, denormalization, star/snowflake schema design Cloud Platform: Microsoft Azure (data storage, orchestration, and AI services) Programming: SQL, DAX (Python or R a plus) Visualization: Power BI development and performance tuning Preferred Certifications SnowPro® Core / Advanced (Data Analyst or Data Engineer) Seniority level
Mid-Senior level Employment type
Contract Job function
Design Industries
IT Services and IT Consulting
#J-18808-Ljbffr