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

Requirements