

AI Data Engineer - 179606
โญ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Data Engineer with a 12-month contract in Spring, TX, offering $90-$98/hour. Key skills include SQL, DBT, Power BI, and Snowflake. Relevant certifications are PL-300 and DP-203. Experience with AI/ML integration and data modeling is essential.
๐ - Country
United States
๐ฑ - Currency
$ USD
-
๐ฐ - Day rate
784
-
๐๏ธ - Date discovered
August 22, 2025
๐ - Project duration
More than 6 months
-
๐๏ธ - Location type
On-site
-
๐ - Contract type
W2 Contractor
-
๐ - Security clearance
Unknown
-
๐ - Location detailed
Spring, TX 77389
-
๐ง - Skills detailed
#Data Analysis #AI (Artificial Intelligence) #dbt (data build tool) #Monitoring #Microsoft Power BI #Data Pipeline #Programming #R #SQL (Structured Query Language) #DAX #Schema Design #Normalization #Visualization #Data Engineering #ADF (Azure Data Factory) #Cloud #"ETL (Extract #Transform #Load)" #ML (Machine Learning) #BI (Business Intelligence) #Data Modeling #Clustering #Storage #Snowflake #Semantic Models #Azure Data Factory #Data Storage #Datasets #Azure #Python
Role description
Weโre Hiring!
Our key client is hiring and looking to add an AI Data Engineer to their team. Please check the description below and reach out to us for more details if you are interested.
Pay: $90-$98/hour on W2
Work Type: Onsite - Spring, TX 77389
Duration: 12-month contract
Job Overview:
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.
Key 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
SnowProยฎ Core Certification
SnowProยฎ Advanced: Data Analyst
SnowProยฎ Advanced: Data Engineer (DEA-C02)
AI-102: Designing and Implementing an Azure AI Solution (Recommended)
Microsoft Certified: Azure AI Engineer Associate (Optional but valuable)
Top 3 Skill Sets/Technologies Required:
AI/ML
Data Modeling
Power BI
Raise PBC is committed to a policy of nondiscrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religious creed, national origin, ancestry, age, disability, genetics, gender identity, veterans' status, sexual orientation, or any other characteristic protected by law. Raise PBC is an equal-opportunity employer encouraging diversity in the workplace.
#HOTJOB
Job Type: Contract
Pay: $90.00 - $98.00 per hour
Benefits:
Dental insurance
Health insurance
Vision insurance
Work Location: In person
Weโre Hiring!
Our key client is hiring and looking to add an AI Data Engineer to their team. Please check the description below and reach out to us for more details if you are interested.
Pay: $90-$98/hour on W2
Work Type: Onsite - Spring, TX 77389
Duration: 12-month contract
Job Overview:
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.
Key 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
SnowProยฎ Core Certification
SnowProยฎ Advanced: Data Analyst
SnowProยฎ Advanced: Data Engineer (DEA-C02)
AI-102: Designing and Implementing an Azure AI Solution (Recommended)
Microsoft Certified: Azure AI Engineer Associate (Optional but valuable)
Top 3 Skill Sets/Technologies Required:
AI/ML
Data Modeling
Power BI
Raise PBC is committed to a policy of nondiscrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religious creed, national origin, ancestry, age, disability, genetics, gender identity, veterans' status, sexual orientation, or any other characteristic protected by law. Raise PBC is an equal-opportunity employer encouraging diversity in the workplace.
#HOTJOB
Job Type: Contract
Pay: $90.00 - $98.00 per hour
Benefits:
Dental insurance
Health insurance
Vision insurance
Work Location: In person