

Motion Recruitment
AI Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Data Engineer with an 11+ month contract, located in Spring, TX. Key skills include AI/ML, Data Modeling, SQL, DBT, and Power BI. Relevant certifications are required, including PL-300 and DP-203.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 1, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
-
📍 - Location detailed
Spring, TX
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🧠 - Skills detailed
#Azure #Data Modeling #AI (Artificial Intelligence) #Datasets #Snowflake #"ETL (Extract #Transform #Load)" #Clustering #Data Storage #BI (Business Intelligence) #Storage #Data Analysis #Azure Data Factory #Visualization #dbt (data build tool) #Semantic Models #DAX #Data Engineering #Programming #Data Pipeline #Schema Design #ML (Machine Learning) #Cloud #ADF (Azure Data Factory) #Python #Microsoft Power BI #Normalization #R #Monitoring #SQL (Structured Query Language)
Role description
Exciting AI Data Engineer - Expert Level opportunity with an established firm located in Spring TX
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
Contract Duration: 11+ Months
Top 3 skill sets/technologies required for qualification:
1. AI/ML
1. Data Modeling
1. Power BI
Job Description
• 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.
Required Skills and Experience
• SQL, DBT, ADF, DAX, Power BI, Snowflake
• AI/ML Integration: Experience integrating AI/ML models into data pipelines and analytics platforms.
• Data Modelling: 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)
• Microsoft Certified: Azure AI Engineer Associate (Optional but valuable)
You Will Receive The Following Benefits:
• Medical & Dental Insurance
• Health Savings Account (HSA)
• 401(k)
• Paid Sick Time Leave
• Pre-tax Commuter Benefit
• Applicants must be currently authorized to work in the United States on a full-time basis now and in the future.
Motion Recruitment provides IT Staffing Solutions (Contract, Contract-to-Hire, and Direct Hire) in major North American markets. Our unique expertise in today’s highest-demand tech skill sets, paired with our deep networks and knowledge of our local technology markets, results in an exemplary track record with candidates and clients.
Exciting AI Data Engineer - Expert Level opportunity with an established firm located in Spring TX
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
Contract Duration: 11+ Months
Top 3 skill sets/technologies required for qualification:
1. AI/ML
1. Data Modeling
1. Power BI
Job Description
• 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.
Required Skills and Experience
• SQL, DBT, ADF, DAX, Power BI, Snowflake
• AI/ML Integration: Experience integrating AI/ML models into data pipelines and analytics platforms.
• Data Modelling: 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)
• Microsoft Certified: Azure AI Engineer Associate (Optional but valuable)
You Will Receive The Following Benefits:
• Medical & Dental Insurance
• Health Savings Account (HSA)
• 401(k)
• Paid Sick Time Leave
• Pre-tax Commuter Benefit
• Applicants must be currently authorized to work in the United States on a full-time basis now and in the future.
Motion Recruitment provides IT Staffing Solutions (Contract, Contract-to-Hire, and Direct Hire) in major North American markets. Our unique expertise in today’s highest-demand tech skill sets, paired with our deep networks and knowledge of our local technology markets, results in an exemplary track record with candidates and clients.






