AI Data Engineer

ExxonMobil has been a leader in the energy sector for over 140 years. As ExxonMobil adapts to meet the increasing global demand for oil natural gas and refined products it is committed to playing a pivotal role in energy transition. ExxonMobils mission to fuel the world safely and responsibly has never been more important.

Raise and ExxonMobil are working together to bring skilled professionals into the ExxonMobil Contingent Communityconnecting experienced individuals with meaningful contract opportunities.

We are seeking individuals who are interested in contingent assignment opportunities at ExxonMobil for AI Data Engineerroles inHouston TX. If youre looking to contribute your expertise to a globally recognized organization explore the details below and submit your application!

Note: Successful applicants will be employees of Raise Limited working at ExxonMobil facilities with both ExxonMobil employees and other contractors. The role is strictly onsite with no remote work option available.

Job Overview
We are seeking a data professional experienced in working with medium to complex data structures within a corporate environment. The ideal candidate will be proficient in handling data in Snowflake transforming datasets with DBT and building efficient visualizations in Power BI including implementing logic using DAX. Strong analytical skills attention to detail and the ability to communicate technical concepts clearly to both technical and non-technical audiences are essential.

AI Engineering & Data Responsibilities

• Collaborate with data modelers to prepare structure and optimize datasets for AI model training and inference.
• Design and implement data pipelines to support AI/ML workflows including feature engineering and model monitoring processes.
• Integrate AI-driven analytics and predictive models into business intelligence tools such as Power BI.
• Evaluate and implement AI services (e.g. Azure Cognitive Services OpenAI models or custom ML solutions) to enhance analytics capabilities and user experiences.

Required Skills & Experience

• Technical Tools: SQL DBT Azure Data Factory (ADF) DAX Power BI Snowflake
• AI/ML Integration: Experience embedding AI/ML models into data pipelines and analytics platforms.
• Data Modeling: Hands-on experience designing and implementing complex data models including normalization denormalization and schema designs (star schema snowflake schema).
• Ingestion Processes: Experience developing and optimizing EL processes using Azure Data Factory.
• Data Transformation: Proficiency in building and optimizing DBT models including data testing and documentation.
• Data Warehousing: Strong understanding of data warehousing principles and best practices particularly within the Snowflake ecosystem (optimization query tuning clustering).
• Cloud Platforms: Experience with Azure for data storage integration processing and AI services.
• Programming: Proficiency in SQL and DAX; familiarity with Python or R for AI/ML is a plus.
• Data Visualization: Proven experience designing interactive scalable and high-performance Power BI visualizations including semantic model development.
• AI Training & Development: Experience working with data and system architecture to support the training and deployment of AI-enhanced analytics and features.

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 (DEAC02)
• AI-102: Designing and Implementing an Azure AI Solution
• Microsoft Certified: Azure AI Engineer Associate
  
  

Looking for meaningful work We can help
Raise is an established hiring firm with over 65 years of experience. We believe strongly in making the world a better place through work which is why were a certified B Corporation and donate 10% of our profits to charity.

We strive to build teams that reflect the diversity of the communities we work in. We encourage all qualified applicants to apply including people from traditionally underrepresented groups such as women visible minorities Indigenous peoples people identifying as LGBTQ2SI veterans and people with visible/nonvisible disabilities.

We have a dedicated webpage for accommodations where you can learn more about what we offer and request accommodation: order to submit candidates for roles our clients will sometimes require personal information to confirm the identity of applicants and their legal status to work. Raise will never ask you for personal or banking information unless you have been selected for a job. If you are ever unsure about the legitimacy of this or another job posting by Raise (or have any other questions) please contact us at 1 or