AI Data Engineer
- Pay Rate: $90.00 – $95.00/hour on W2
- Contract Length: 12 months
- Location: Houston, TX 77034
- Work Type: This is an ONSITE (North Houston) role with no remote work option available
Raise is currently hiring a contract team member on behalf of our client. They’re expanding their team to meet growing needs, making this a unique opportunity to work with an industry leader.
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 PowerBI, 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, PowerBI, 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: PowerBI 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
- 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 we’re 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: https://raise.jobs/accommodations/
In 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 +1 800-567-9675 or hello@raiserecruiting.com
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