Job Description
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)
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