Sr. AI Data Engineer -Only on W2

Job Title: Sr. AI Data Engineer Location: Spring, TX /Onsite Contract length: 12 Months Only on W2 -Independent visa only Overview: We are seeking an experienced AI Data Engineer to work in a consultative capacity with our clients. This role requires a strong foundation in data engineering, AI/ML integration, and business intelligence, with a focus on Microsoft technologies and cloud platforms. The ideal candidate will be adept at translating complex data into actionable insights and collaborating across technical and non-technical teams. Core Responsibilities: AI Engineering & Data Integration • Collaborate with data modelers to prepare and optimize datasets for AI model training and inference. • Design and implement scalable data pipelines for AI/ML workflows (feature engineering, model monitoring). • Integrate AI models and services (e.g., Azure Cognitive Services, OpenAI) into BI tools like Power BI. • Evaluate and implement AI services to enhance data products and user experiences. • Provide expert-level consultation on the pros and cons of AI/ML tools, data strategies, and process design. Data Engineering & BI Development • Develop and optimize ETL/ELT processes using tools like Azure Data Factory (ADF) and DBT. • Build and maintain data models (star/snowflake schema) and semantic layers. • Create interactive dashboards and reports using Power BI, including DAX logic. • Work with Snowflake for data warehousing and performance tuning. Required Technical Skills: Mandatory: • Expertise in AI/ML Data Engineering, including advisory experience on tools, data, and processes. • SQL: Advanced querying and optimization. • ETL/ELT Tools: SSIS, Azure Data Factory, DBT. • BI Tools: Power BI (DAX, semantic models), SSRS, SSAS, or Tableau. • Programming: Python (preferred), R (optional). • Cloud Platforms: Azure (preferred), AWS (acceptable). • Version Control & DevOps: GitHub, Azure DevOps (ADO). • Data Architecture: Experience with data pipelines, analytics architecture, and AI/ML integration. Must-Have Competencies: • Fluent in written and spoken English. • Strong data modeling skills (normalization, denormalization, schema design). • Hands-on experience with AI/ML model integration into data platforms. • Proficiency in Power BI for data visualization and storytelling. Nice-to-Have Skills: • Snowflake: Advanced features, performance tuning. • SAP BODS: Data integration experience. • DevOps Fundamentals: CI/CD for data pipelines. Relevant Certifications-NOT must haves, but recommended and highly preferred • PL-300: Power BI Data Analyst Associate • DP-203: Azure Data Engineer Associate • SnowPro® Core Certification • SnowPro® Advanced: Data Analyst • SnowPro® Advanced: Data Engineer (DEA-C02) • AI-102: Designing and Implementing an Azure AI Solution (Recommended) • Microsoft Certified: Azure AI Engineer Associate (Optional but valuable)