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Snowflake Jobs in Naperville, IL (NOW HIRING)

WorkNovas LLC

Data & AI Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

Data & AI Architect Chicago 3x/wk C2H Goal profile: 12-15+ years in Data Architecture/Data Engineering, strong Snowflake or BigQuery background, experience building enterprise data lakes/lakehouses ...

Noblesoft Technologies

Tandem Solution Architect

Rosemont, IL · Remote

$64.50 - $85/hr

Snowflake / SQL Server / Oracle / MySQL experience Cloud experience would be nice, specifically S3 / Snowflake / AWS Familiar with Agile and Waterfall Projects. Nice to have the below skill set, but ...

CEDENT

Site Reliability Engineer

Chicago, IL

$58.75 - $78/hr

Monitor, troubleshoot, and optimize Snowflake databases and (" GCP") to meet performance and scalability requirements. * Use Atlassian Jira and Confluence to document business processes and ...

Inficare Technologies

Sr. Data Architect

Wood Dale, IL · On-site +1

$67 - $89.75/hr

Environmental / Industrial Technology Technology skills Azure & ADF, Snowflake, SSIS, SQL Server, Logic Apps, DBT, Power BI / SSRS Knowledge Role & responsibilities * Owns end-to-end solution design ...

The Hartford

Lead Data Engineer - Hybrid

Chicago, IL · Hybrid

$117K - $175K/yr

Ensure the new Snowflake application is designed for long-term maintainability and enhancement, with a clear code base that supports effective communication with business users. * Support the new ...

Spaulding Ridge

Data Solutions Architect

Chicago, IL · On-site

This role sits at the intersection of software engineering, Snowflake architecture, data engineering, BI/reporting, and client advisory. Working closely with our client partners, you'll develop ...

Accordion

Senior Consultant, Data Platform

Chicago, IL · On-site

$112K - $200K/yr

Orchestrate environments, security, and cost controls for Snowflake and Azure (ADF/Fabric, Databricks, Synapse, Key Vault, Purview). * Client leadership: Serve as the day-to-day executive contact ...

Sentinel

Enterprise Data Analyst

Downers Grove, IL · On-site

$80K - $120K/yr

You'll work with cutting-edge technologies including Snowflake, dbt, Python, Power BI, and AI-powered development tools such as Snowflake Cortex, Claude, and OpenAI Codex to accelerate development ...

The Hartford

Lead Data Engineer - Hybrid

Chicago, IL · Hybrid

$117K - $175K/yr

Ensure the new Snowflake application is designed for long-term maintainability and enhancement, with a clear code base that supports effective communication with business users. * Support the new ...

Sentinel

Enterprise Data Analyst

Downers Grove, IL · On-site +1

$80K - $120K/yr

You'll work with cutting-edge technologies including Snowflake, dbt, Python, Power BI, and AI-powered development tools such as Snowflake Cortex, Claude, and OpenAI Codex to accelerate development ...

SYSTEGRATION INC

dbt / Data Engineer

Des Plaines, IL · On-site

$111K - $134K/yr

Snowflake, SQL Server, advanced SQL, databases, Power BI Hands-on: ADF (Azure Data Factory), Python, Git Data Modeling: Star schema, dimensional modeling, Data Vault Preferred: CI/CD Company ...

SYSTEGRATION INC

dbt / Data Engineer

Des Plaines, IL · On-site

$111K - $134K/yr

Snowflake, SQL Server, advanced SQL, databases, Power BI Hands-on: ADF (Azure Data Factory), Python, Git Data Modeling: Star schema, dimensional modeling, Data Vault Preferred: CI/CD Company ...

hightower

Data Engineer

Chicago, IL · Hybrid

$100K - $115K/yr

Build and maintain Snowflake and RDS data pipelines using Python, dbt, Mulesoft, Git, and GitHub Actions. * Partner with data scientists and analysts to model data in Snowflake, ensuring datasets are ...

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All JobsSnowflake JobsSnowflake Jobs in Naperville, IL

Snowflake information

See Naperville, IL salary details

$35

$67

$84

How much do snowflake jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for snowflake in Naperville, IL is $67.51, according to ZipRecruiter salary data. Most workers in this role earn between $59.76 and $76.59 per hour, depending on experience, location, and employer.

What is a Snowflake?

A Snowflake job typically refers to tasks executed within Snowflake, a cloud-based data platform. These jobs can include data loading, transformation, querying, or scheduled tasks using Snowflake's task and stream features. They help automate data workflows, improve performance, and ensure efficient data management within the Snowflake ecosystem.

What are the key skills and qualifications needed to thrive in the Snowflake position?

To thrive as a Snowflake professional (such as a Snowflake Data Engineer or Administrator), you need a solid understanding of cloud data warehousing, SQL, and data modeling, typically supported by a degree in computer science or related fields. Experience with the Snowflake platform, data integration tools (like Informatica or Talend), and relevant certifications such as SnowPro are highly valuable. Strong problem-solving abilities, communication skills, and adaptability help professionals translate business requirements into data solutions and work effectively with cross-functional teams. These competencies are crucial for optimizing data workflows, ensuring system performance, and supporting the data-driven goals of an organization.

What are some common challenges faced by Snowflake professionals, and how can they be addressed?

Snowflake professionals often encounter challenges such as optimizing query performance, managing data security and access controls, and integrating Snowflake with multiple data sources. Addressing these challenges requires continuous learning about the platform’s evolving features, proactively monitoring query and storage usage, and collaborating closely with data architects, DevOps, and IT security teams. Staying up to date with best practices and regularly attending Snowflake community webinars or training can also be extremely helpful. Most companies encourage knowledge sharing and collaboration, so being proactive in problem-solving will help you thrive in this role.

Does Snowflake offer remote jobs?

Snowflake offers remote job opportunities for various roles, including data engineers, analysts, and software engineers. Many positions are fully remote or have flexible work arrangements, often requiring proficiency with cloud platforms and collaboration tools. Candidates should review specific job listings for location and remote work options.

Is Snowflake a good career?

A career as a Snowflake professional typically involves working with cloud data platforms, data warehousing, and SQL skills. It offers opportunities in data engineering, analytics, and cloud computing, with demand driven by the growth of data-driven decision making. Certifications and continuous learning can enhance job prospects in this field.

What exactly does Snowflake do?

A Snowflake professional typically works with the Snowflake data platform, which is a cloud-based data warehousing service. They manage data integration, optimize queries, and ensure data security within the platform, often using SQL and cloud infrastructure skills. The role involves supporting data analytics and business intelligence initiatives.

What job categories do people searching Snowflake jobs in Naperville, IL look for?

The top searched job categories for Snowflake jobs in Naperville, IL are:

What cities near Naperville, IL are hiring for Snowflake jobs?

Cities near Naperville, IL with the most Snowflake job openings:

Snowflake jobs near you
Infographic showing various Snowflake job openings in Naperville, IL as of August 2026, with employment types broken down into 51% Full Time, and 49% Contract. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $140,411 per year, or $67.5 per hour.

Data & AI Architect

WorkNovas LLC

Chicago, IL • On-site

$65.75 - $84.50/hr

Contractor

Posted 10 days ago

Job description

Data & AI Architect 

Chicago 3x/wk 

C2H

Goal profile:

12-15+ years in Data Architecture/Data Engineering, strong Snowflake or BigQuery background, experience building enterprise data lakes/lakehouses, proven AI/GenAI architecture experience (RAG, vector databases, embeddings, unstructured data), strong governance/lineage expertise, and executive-level communication skills.

Position Summary

The AI Data Solutions Architect is a senior technical role within the AI Center of Excellence, responsible for designing

and governing the data architecture that underpins all AI and machine learning initiatives

This individual will own the end-to-end data strategy for AI projects — determining where data should

reside, how it flows between systems, and how it is structured to maximize value for AI workloads. They will maintain

a comprehensive data lineage and usage inventory, ensuring the organization has clear visibility into where data is

sourced, transformed, stored, and consumed.

Required Qualifications

• 8+ years of experience in data architecture, data engineering, or enterprise data management.

• 3+ years of hands-on experience designing data solutions for AI/ML workloads.

• Deep expertise with cloud data platforms, particularly Snowflake, Google BigQuery, or equivalent.

• Experience with enterprise data lake or data mesh architectures.

• Strong understanding of data modeling (dimensional, graph, document), ETL/ELT pipelines, and data

integration patterns.

• Experience with data governance frameworks, data cataloging tools, and lineage tracking.

• Experience with AI/ML data requirements including feature engineering, vector embeddings, retrieval augmented generation (RAG), and unstructured data processing.

• Proficiency in SQL; working knowledge of Python or similar scripting languages.

• Excellent communication skills with the ability to translate complex data concepts for non-technical

stakeholders.

• Bachelor’s degree in Computer Science, Data Science, Information Systems, or related field.

Preferred:

• Experience with Snowflake’s advanced features (Snowpark, Cortex, data sharing, dynamic tables).

• Hands-on experience with GCP services (Vertex AI, Cloud Storage, Pub/Sub, Dataflow).

• Familiarity with knowledge graph technologies, semantic layers, or ontology design for AI applications.

• Background in retail, automotive, or RV/dealership industry data environments.

• Relevant certifications (e.g., Snowflake SnowPro, GCP Professional Data Engineer, AWS Data Analytics).

• Experience with MCP (Model Context Protocol) or similar AI-to-data integration frameworks