AI Data Engineer (Local to TX)
AI Data Engineer (Local to TX)
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Job Description
Job Title: AI Data Engineer
Location: Spring TX (Local to TX)
Duration: 12 Months
Job Type: Onsite
Client Company Name: Exxon Mobil Corporation
Pay Rate: $75/hr. on W2
Contract Details: 40 Hours
Description:
- The ideal candidate will have experience working with medium to complex data structures in a corporate environment. They should be proficient in working hands-on with data in Snowflake transforming data with DBT and visualizing it efficiently in Power BI including implementing logic in DAX. Additionally the candidate should possess strong problem-solving skills attention to detail and the ability to communicate complex technical concepts to both technical and non-technical stakeholders in English.
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.
Qualifications:
- 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.
- Data Warehousing: Understanding of data warehousing concepts and best practices particularly with the Snowflake platform including optimization strategies query tuning and clustering.
- 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.
- Visualization Expertise: Experience creating interactive and performant visualizations using Power BI including designing and maintaining semantic models.
- AI Training & Development: Experience working with the data systems and architecture to train and develop new AI-powered analytics and functionality.
Relevant Certifications
- 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)
- MS Certified: Azure AI Engineer Associate (Optional but valuable)
Top 3 skill sets/technologies required:
- AI/ML
- Data Modeling
- Power BI
Employment Type
Full-time
