Our key client is hiring and looking to add an AI Data Engineer to their team to work with medium to complex data structures in a corporate environment.
Requirements
- SQL, DBT, ADF, DAX, Power BI, Snowflake
- AI/ML Integration: Experience integrating AI/ML models into data pipelines and analytics platforms.
- Data Modeling: Hands-on experience in designing and implementing complex data models, with a strong understanding of normalization, denormalization, and schema designs such as star schema and snowflake schema.
- Ingestion Processes: Hands-on experience in developing and optimizing EL (Extract and Load) processes using ADF (Azure Data Factory).
- Data Transformation Processes: Hands-on experience in developing and optimizing DBT (Data Build Tool) models, including data testing.
- Cloud Platforms: Experience with Azure, particularly in relation to data storage, integration, processing, and AI services.
- Programming Languages: Proficiency in SQL and DAX; familiarity with Python or R for AI/ML tasks is a plus.
Responsibilities
- Collaborate with data modelers to prepare and optimize datasets for AI model training and inference.
- Design and implement data pipelines that support AI/ML workflows, including feature engineering and model monitoring.
- Integrate AI-powered analytics and predictive models into business intelligence tools like Power BI.
- Evaluate and implement AI services (e.g., Azure Cognitive Services, OpenAI, or custom ML models) to enhance data products and user experiences.
Other
- Strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts to both technical and non-technical stakeholders in English.
- Degree requirements not specified, but relevant certifications include PL-300: Power BI Data Analyst Associate, DP-203: Azure Data Engineer Associate, SnowPro Core Certification, and others.
- Work Type: Onsite - Spring, TX 77389
- Duration: 12-month contract
- Pay: $90-$98/hour on W2
