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Snowflake AI Engineer

Job not on LinkedIn

🔥 59 minutes ago

🌽 Illinois – Remote

infoinfo

💵 $110k - $140k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

infoinfo

Where this job comes from

Posted on HALO Branded Solutions's careers page, not through a job board

First seen by Remote Rocketship 59 minutes ago

Still open on HALO Branded Solutions's site. Checked 6 minutes ago.

Logo of HALO Branded Solutions

HALO Branded Solutions

1001 - 5000 employees

💼 Consulting

📦 Logistics

📣 Marketing

💰 Private Equity Round on 2016-01

Consulting • Logistics • Marketing

HALO Branded Solutions is a company specializing in branded merchandise and promotional products to enhance brand engagement and recognition. They offer a variety of services including custom kitting, company stores, holiday gifting, and creating employee welcome kits. In addition, HALO provides solutions for employee recognition and incentives through tailored programs that align with company cultures. The company also focuses on creating brand ambassadors through company uniforms and branded apparel. HALO serves a wide range of industries by providing creative services, technology solutions, and logistics support to capture and maintain the attention of clients and employees. Their commitment to sustainability and impactful experiences is central to their operations.

📋 Description

• Partner with stakeholders and data owners across HALO to understand enterprise data domains, including merchandise, orders, programs, client accounts, and recognition data • Design and implement a comprehensive Semantic Layer within Snowflake with consistent business definitions, metrics, hierarchies, and context • Define and maintain semantic models, logical data objects, and certified metrics for analytics and AI use cases • Collaborate with the data team to align the Semantic Layer with evolving data models, source systems, and business logic • Document semantic definitions, lineage, and business rules to support data literacy and governance • Design, build, and deploy Snowflake Cortex Agents for natural-language interaction with enterprise data • Develop and fine-tune agent logic, intent parsing, and response generation • Integrate Cortex Agents with the Semantic Layer to ground AI responses in governed, certified data • Establish feedback loops and monitoring to improve agent performance, answer quality, and user trust • Identify high-value agent use cases, iterate on functionality, and drive adoption with end users and stakeholders • Evaluate and champion new Snowflake AI and data cloud capabilities • Contribute to data engineering best practices, coding standards, and peer review • Communicate technical concepts to non-technical audiences • Support data governance through consistent, documented, and auditable data practices

🎯 Requirements

• 3+ years of experience working with Snowflake in a data engineering, analytics engineering, or AI/ML engineering capacity • Demonstrated experience designing and implementing semantic or logical data models, such as Snowflake Semantic Layer, dbt Semantic Layer, LookML, or equivalent • Hands-on experience with Snowflake Cortex features, including Cortex Analyst, Cortex Search, or AI/ML functions • Strong SQL proficiency with deep knowledge of Snowflake-specific features, including dynamic tables, materialized views, streams, tasks, and row access policies • Solid understanding of enterprise data concepts, including dimensional modeling, data vault, or medallion architecture patterns • Experience working in cross-functional environments and translating business requirements into technical data solutions • Strong communication skills for articulating data concepts to technical and non-technical stakeholders • Experience with LLM integration patterns, prompt engineering, or AI agent frameworks • Familiarity with dbt for data transformation and semantic modeling • Working knowledge of Python, particularly for Snowpark or Cortex API integrations • Background in branded merchandise, retail, supply chain, or B2B services data environments • Snowflake SnowPro certification (Core or Advanced: Data Engineer) • Experience with data observability and quality tooling, such as Monte Carlo, Elementary, or Snowflake data quality features • HALO participates in E-Verify

🏖️ Benefits

• Nationwide Medical, Dental, Vision, Life, and Disability insurance coverage • Additional Voluntary Benefits • 401(k) Retirement Savings Plan • Health Savings Accounts (HSA) • Flexible Spending Accounts (FSA) • Internal promotion and career advancement opportunities • Access to HALO’s influential global network, leadership opportunities, and diverse perspectives • Recognition awards convertible into gift cards, trips, concert tickets, and merchandise • Flexible schedules • Hybrid work options for many roles • Reasonable accommodations for individuals with disabilities

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