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USA_Engineer

Varite · Las Vegas, NV

Strong hiring record · median 6 days open

100100

Hiring signal

Actively hiring

Still listed on the employer's own board · publishes a salary range · How we score

All reasons

In its favour

  • Still listed on the employer's own board
  • Publishes a salary range

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USA_Engineer at Varite. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Pay Rate Range

$ 51.51 - 56.81/hr.

Job Description

We're seeking a hands-on Engineer who can help design, build, and operationalize AI-powered data solutions on Snowflake. This role combines customer engagement, solution architecture, data engineering, and AI implementation, with a strong focus on Snowflake Cortex AI, CoCO, CoCO Desktop, and modern enterprise data platforms.

Key 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 workshops, architecture reviews, PoCs, and production deployments.

Develop reusable accelerators and best practices.

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.

Experience building LLM, RAG, vector search, and agentic AI solutions.

Strong SQL and Python skills.

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

Strong customer-facing communication and solution architecture skills.

Preferred Qualifications

Snowflake certifications (Architect, Data Engineer, AI specialization).

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

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

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

Ideal Candidate

A highly technical, customer-focused engineer who can engage executives, architect solutions, and build production-grade AI and data platforms hands-on.

Desirable Skills

Required Skills Python| Pyspark| Sql|Airflow| Trino| Hive| Snowflake| Agile ScrumGood to have Linux|Openshift| Kubernentes| Superset

Keyword

~Data Engineer~

Skills

Digital

Data Science~Digital

Python~Digital

Snowflake~AI Agents

Experience Required

6-8 years

Skills

Category

Name

Required

Importance

Experience

SkillCategoryTest1_MN

Digital

Python

Yes

1

>7 years

Skills

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