Apex Systems
Job#: 3010839
Job Description:
Job ID: 3010839
Type: 12-month contract to start
Location: Spring, Texas
Schedule: 5 days a week onsite
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.
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.
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)
Top 3 skill sets/technologies required for qualification
AI/ML
Data Modeling
Power BI
EEO Employer Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at employee.services@apexscm.com or 844‑463‑6178.
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Job ID: 3010839
Type: 12-month contract to start
Location: Spring, Texas
Schedule: 5 days a week onsite
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.
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.
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)
Top 3 skill sets/technologies required for qualification
AI/ML
Data Modeling
Power BI
EEO Employer Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at employee.services@apexscm.com or 844‑463‑6178.
#J-18808-Ljbffr