Snowflake AI Data Engineer

job summary:

Join our Data & AI Practice to design, build, and deploy next-generation enterprise AI and data platform solutions. In this role, you will architect modern scalable platforms, implement cutting-edge retrieval-augmented generation (RAG) and agentic workflows, and build production-grade data pipelines utilizing Snowflake Cortex AI and modern data stack tools.

location: Las Vegas, Nevada
job type: Contract
salary: $50 - 60 per hour
work hours: 8am to 5pm
education: Bachelors
responsibilities:

• Design and implement AI-powered data solutions using Snowflake Cortex AI, CoCO, and CoCO Desktop.
• Develop and deploy RAG, agentic workflows, semantic layers, and enterprise AI applications.
• Architect scalable data platforms leveraging Snowflake, Kafka, Spark, Airflow, dbt, and cloud-native services.
• Build robust ELT/ETL pipelines and real-time integrations.
• Lead technical workshops, architecture reviews, PoCs, and production deployments.
• Develop reusable data accelerators and engineering best practices.

qualifications:

REQUIRED QUALIFICATIONS

5+ years of experience in Data Engineering, Analytics Engineering, or Data Platforms.

Deep expertise in Snowflake architecture, security, governance, and performance optimization.

Hands-on experience with Cortex AI, CoCO, CoCO Desktop, Snowpark, and AI/ML integration patterns.

Proven experience building LLM, RAG, vector search, and agentic AI solutions.

Strong programming and pipeline skills in SQL and Python.

Experience with Airflow, dbt, Spark, Kafka, and cloud platforms (AWS, Azure, or Google Cloud Platform).

Strong customer-facing communication and solution architecture capabilities.

PREFERRED QUALIFICATIONS

Snowflake certifications (Architect, Data Engineer, or AI Specialization).

Experience with Streamlit, Dynamic Tables, Snowpipe, and Snowflake Native Apps.

Experience integrating OpenAI, Anthropic, Gemini, or open-source foundation models.

Knowledge of enterprise security, governance, privacy, and compliance frameworks.

skills:

Cortex,agentic workflows,Agentic AI Solutions,Airflow,AWS,Kafka,Spark,AI,AI applications,Cloud,Analytics,semantic layers,data platforms,data pipelines,data solutions,ETL pipelines,Gemini,Data Engineering,LLM,Azure,Native Apps,open-source models,OpenAI,Performance Optimization,Python,RAG frameworks,RAG,Vector Search,cloud-native services,Snowflake,production deployments,Strong SQL,Streamlit,Integration experience,architecture,architecture reviews,Customer-facing communication,Enterprise security,dbt,Governance,Security,solution architecture

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.