AI Data Engineer
- Pay Rate: $90-$95/hour on W2
- Contract Length: 12 months
- Location: Spring, TX 77389 (Onsite)
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
- 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 experience.
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 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)
Top 3 Skill Sets/Technologies Required
- AI/ML
- Data Modeling
- Power BI
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/
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