AI Data Engineer

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 • Microsoft PL-300: Power BI Data Analyst Associate • Microsoft DP-203: Azure Data Engineer Associate • SnowPro® Core / Advanced (Data Analyst or Data Engineer)