AI Data Engineer

We are CirrusLabs . Our vision is to become the world's most sought-after niche digital transformation company that helps customers realize value through innovation. Our mission is to co-create success with our customers, partners and community. Our goal is to enable employees to dream, grow and make things happen. We are committed to excellence. We are a dependable partner organization that delivers on commitments. We strive to maintain integrity with our employees and customers. Every action we take is driven by value. The core of who we are is through our well-knit teams and employees. You are the core of a values driven organization.

You have an entrepreneurial spirit. You enjoy working as a part of well-knit teams. You value the team over the individual. You welcome diversity at work and within the greater community. You aren't afraid to take risks. You appreciate a growth path with your leadership team that journeys how you can grow inside and outside of the organization. You thrive upon continuing education programs that your company sponsors to strengthen your skills and for you to become a thought leader ahead of the industry curve.

You are excited about creating change because your skills can help the greater good of every customer, industry and community. We are hiring a talented to join our team. If you're excited to be part of a winning team, CirrusLabs () is a great place to grow your career.

Role: AI Data Engineer- Expert Level
Location: Spring, Texas (5 Days Onsite Each Week)
Duration: Long term contact


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.

AI Engineering 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.

Top 3 skill sets/technologies required for qualification:
1): AI/ML
2): Data Modeling
3): Power BI

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 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
• 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)