AI Data Engineer

Ethereum Technologies; Chicago (IL); On-site; USD 140,000 - 200,000; Full time

Job summary

Ethereum Technologies in Chicago seeks a highly technical AI Data Engineer to design, develop, and deploy AI-powered data solutions using Snowflake Cortex AI, CoCO, and CoCO Desktop. You will architect scalable data platforms, implement ELT/ETL pipelines, and deliver production-grade AI applications across Snowflake, Kafka, Spark, and cloud services.

Ideal candidates bring 5+ years in data engineering, strong SQL/Python skills, and hands-on experience with LLMs, RAG, vector search, and

Qualifications

• 5+ years in Data Engineering, Analytics Engineering, or Data Platforms.
• Deep expertise in Snowflake architecture, security, governance, and performance optimization.
• Hands-on experience with Snowflake 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 programming skills.
• Experience with Airflow, dbt, Spark, Kafka, and cloud platforms (AWS, Azure, or GCP).
• Strong customer-facing communication and solution architecture skills.

Responsibilities

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

Skills

Snowflake architecture

AI/ML integration

SQL

Python

Airflow

Kafka

Spark

Cloud platforms (AWS/Azure/GCP)

LLM/RAG/agentic AI

Stakeholder communication

Tools

Snowflake Cortex AI

CoCO

CoCO Desktop

Snowpark

dbt

Snowpipe

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Summary:

We are seeking a highly technical and customer-focused AI Data Engineer to design, develop, and deploy AI-powered data solutions using Snowflake Cortex AI, Coco, and Coco Desktop. The ideal candidate will have strong expertise in Snowflake architecture, modern data engineering platforms, LLMs, RAG, vector search, and agentic AI workflows.

The candidate should be capable of engaging with business stakeholders and executives, leading architecture discussions, and delivering production-grade AI and data platforms.

Key Responsibilities:

• Design and implement AI-powered data solutions using Snowflake Cortex AI, CoCO, and CoCO Desktop.
• Develop and deploy RAG applications, agentic workflows, semantic layers, and enterprise AI applications.
• Architect scalable data platforms using Snowflake, Kafka, Spark, Airflow, dbt, and cloud-native services.
• Build robust ELT/ETL pipelines and real-time data integrations.
• Lead technical workshops, architecture reviews, Proof of Concepts (PoCs), and production deployments.
• Develop reusable accelerators and establish engineering 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 Snowflake 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 programming 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, or AI specialization).
• Experience with Streamlit, Dynamic Tables, Snowpipe, and Snowflake Native Apps.
• Experience integrating OpenAI, Anthropic, Gemini, or open-source models.
• Knowledge of enterprise security, governance, privacy, and compliance frameworks.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.