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Data Warehouse Developer Jobs in Illinois (NOW HIRING)

1 point system

Sr. Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Very good understanding of Data warehousing concepts and approaches * Experience in building Data ... Bachelors degree in Engineering, Computer Science, Statistics, Economics, Mathematics, Finance, or ...

PROLIM Global Corporation

ETL Developer

Rosemont, IL · On-site

$49.75 - $65/hr

Job Title: ETL Developer Location : Rosemont, IL Duration : 6 Months Experience : 6-8 Years Job ID ... Implement and support data warehouse solutions using Star Schema and Snowflake Schema. * Perform ...

Isys Technologies

IL · On-site

$99K - $105K/yr

... Developer to support ongoing activities for a customer at Scott AFB, IL. This position will be on ... Develops and manages data warehouses and data lakes to support analytics, reporting, and ...

1 point system

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Very good understanding of Data warehousing concepts and approaches * Experience in building Data pipelines and ETL approaches using Informatica IICS, Alteryx or any leading pipeline tool.

Alpha Business Solutions

Data Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

Alpha Business Solutions is seeking an experienced Data Architect to join their growing engineering ... Design scalable data warehouse, data lake, and end-to-end data pipeline architectures. • ...

Pwc

Data Engineer - Manager

Chicago, IL · On-site

You can also build and enhance ETL/ELT pipelines, manage data warehouses and data lakes, and ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Pwc

Data Engineer - Manager

Rosemont, IL · On-site

You can also build and enhance ETL/ELT pipelines, manage data warehouses and data lakes, and ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Leidos

Data Engineer Software Developer

Shiloh, IL

$106K - $128K/yr

Seeking a Back-End Developer to join the Real-Time Visibility (RTV) team, focused on designing ... Develops and manages data warehouses and data lakes to support analytics, reporting, and ...

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Data Warehouse Developer information

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How much do data warehouse developer jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for data warehouse developer in Illinois is $52.74, according to ZipRecruiter salary data. Most workers in this role earn between $45.87 and $62.88 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data warehouse developer?

To thrive as a Data Warehouse Developer, you need expertise in data modeling, ETL processes, SQL, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Familiarity with data warehousing tools (such as Informatica, Talend, or SSIS), OLAP systems, and cloud data platforms is highly valuable, along with relevant certifications. Strong analytical thinking, problem-solving abilities, and effective communication skills set standout professionals apart in this role. These skills are crucial for designing efficient data solutions, ensuring data integrity, and enabling business intelligence for informed decision-making.

What are some common challenges data warehouse developers face when integrating data from multiple sources?

Data Warehouse Developers often encounter challenges with data consistency, varying data formats, and incomplete or poor-quality data when integrating information from multiple sources. Resolving these issues typically involves designing robust ETL (Extract, Transform, Load) processes, implementing data cleansing routines, and collaborating closely with data owners and business analysts to understand data lineage and requirements. Adapting to frequent changes in source systems and ensuring the warehouse remains scalable and performant can also be demanding, but they provide valuable opportunities to develop problem-solving skills and deepen technical expertise.

What is a data warehouse developer?

A data warehouse developer designs and implements data warehouses, which are meant to store large amounts of data for easy retrieval by a business or organization. In this role, your duties are to develop storage architecture, design big data models, and create ways to input transactions, such as sales, receipts, customer data, and user downloads. Working with other developers, you ensure that the warehouse can both receive customer and client data and return it as output to analysts who can make recommendations based on their interpretation.

What is the difference between Data Warehouse Developer vs Data Analyst?

AspectData Warehouse DeveloperData Analyst
CredentialsBachelor's in Computer Science, Data Management, or related field; certifications like Microsoft Certified: Data Analyst AssociateBachelor's in Statistics, Mathematics, or related field; certifications like Microsoft Certified: Data Analyst Associate
Work EnvironmentDesigning, developing, and maintaining data warehouses; working with ETL tools and database systemsAnalyzing data sets, creating reports, and providing insights using BI tools
Industry UsageUsed across industries for data storage and managementUsed across industries for data analysis and reporting

The main difference is that Data Warehouse Developers focus on building and maintaining data storage systems, while Data Analysts interpret data to support business decisions. Both roles require strong technical skills and often overlap in data handling tasks, but their core responsibilities differ.

Is data warehouse a good career?

A career as a Data Warehouse Developer is in demand due to the increasing need for data management and analytics in organizations. It typically requires skills in SQL, ETL processes, and tools like Snowflake or Redshift, with opportunities for growth in data engineering and business intelligence roles.
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Data Warehouse Developer jobs near you
Infographic showing various Data Warehouse Developer job openings in Illinois as of July 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 72% In-person, and 28% Remote job distribution, with an average salary of $109,697 per year, or $52.7 per hour.

Snowflake Data Architect

Keeley Construction

Edwardsville, IL • Hybrid

Full-time

Re-posted 4 days ago

Job description

At Keeley Companies, we believe in empowering our people and fulfilling career aspirations. Keeley is a career destination with countless opportunities for advancement, and a world-class family culture that is centered around creating the best possible environment for our people to thrive.

Keeley Companies is looking to hire a Snowflake Data Architect for our IT Team in St. Louis, MO.

Primary Responsibilities
  • Define and execute the target-state Snowflake architecture supporting enterprise reporting, analytics, and decision-making across key business domains.
  • Establish enterprise data modeling standards, architectural patterns, governance frameworks, and golden-source strategies.
  • Design scalable logical and physical data models for Project Management, HR, Finance, Accounting, Legal, and Operations data domains.
  • Develop and maintain a multi-year enterprise data warehouse and data modernization roadmap aligned with business objectives.
  • Design AI-ready data architectures that support both structured and unstructured data for advanced analytics and generative AI use cases.
  • Establish Snowflake governance standards including security, cost management, performance optimization, data sharing, monitoring, and observability.
  • Design and implement Snowflake Cortex capabilities, including AI SQL, LLM functions, document intelligence, vector functions, and Snowpark solutions.
  • Lead the development of scalable data ingestion frameworks integrating enterprise applications such as CMiC, UKG, Salesforce, and other critical systems.
  • Oversee enterprise data quality, testing, validation, reconciliation, and observability standards.
  • Drive Snowflake performance tuning initiatives through query optimization, clustering strategies, workload management, and concurrency scaling.
  • Lead large-scale data warehouse modernization and legacy data migration efforts.
  • Partner with business and technology leaders to translate complex requirements into scalable data platform solutions.
  • Mentor and guide data engineers, analysts, and data scientists in implementing enterprise data architecture and engineering best practices.
Minimum Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field required.
  • 8+ years of enterprise data architecture, data warehousing, and data platform experience.
  • 4+ years of hands-on experience designing and leading Snowflake implementations in cloud production environments.
  • Proven experience delivering enterprise-scale data warehouse, analytics, and data transformation programs.
  • Deep expertise in Snowflake architecture, including storage and compute separation, micro-partitioning, clustering, performance tuning, governance, and cost optimization.
  • Advanced knowledge of dimensional modeling, enterprise data architecture, and data governance best practices.
  • Strong SQL development skills and experience with modern ELT/ETL tools such as dbt, Fivetran, SSIS, and orchestration platforms.
  • Experience integrating structured and unstructured data sources, including documents, spreadsheets, emails, and PDFs.
  • Strong understanding of Microsoft Azure cloud services and enterprise data integration patterns.
  • Experience implementing Snowflake Cortex, Snowpark (Python), AI SQL, and AI-driven analytics capabilities in production environments.
  • Experience supporting database administration, data migrations, and modernization initiatives.
  • Strong leadership, communication, and stakeholder management skills with the ability to present technical strategy to executive audiences.
  • Demonstrated ability to mentor technical teams and align data platform strategies with long-term business objectives.
  • SnowPro Advanced Certification preferred.
  • Experience supporting construction, project-based, HR, finance, accounting, legal, or operations data environments preferred.

#LI-AG1 #LI-Hybrid

All Keeley Brands (Keeley Construction Group, Keeley Properties, Keeley Restoration, Keeley Companies) do not accept unsolicited resumes from search firms, headhunters, or agencies. Any resume submitted to any employee of a Keeley company without a prior written search agreement will be considered unsolicited and the property of any Keeley Company. Please, no phone calls or emails.

All Keeley companies are proud to be an equal opportunity employer regardless of race, color, gender, age, sexual orientation, gender identity, gender expression, religious beliefs, marital status, genetic information, national origin, disability, protected veteran status, or any other basis protected by federal, state, or local law.