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Entry Data Engineer Jobs in Illinois (NOW HIRING)

AI Solutions & Data Engineer

Darien, IL ยท On-site

$111K - $133K/yr

The AI Solutions & Data Engineer will report to the Chief Innovation Officer and collaborate with ... Identify opportunities to reduce duplicate data entry and improve the flow of information across ...

New

AI Solutions & Data Engineer

Darien, IL ยท On-site

$111K - $133K/yr

The AI Solutions & Data Engineer will report to the Chief Innovation Officer and collaborate with ... Identify opportunities to reduce duplicate data entry and improve the flow of information across ...

New

ASSOCIATE, DATA ENGINEER

Chicago, IL ยท On-site

$85K - $110K/yr

Bachelor's degree in computer science, engineering, or a similar field * 1+ years of experience in data engineering for cross-functional business processes involving multiple IT systems. * Experience ...

ASSOCIATE, DATA ENGINEER

Chicago, IL

$16.50 - $21.50/hr

Bachelor's degree in computer science, engineering, or a similar field * 1+ years of experience in data engineering for cross-functional business processes involving multiple IT systems. * Experience ...

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Data Entry Clerk

Elgin, IL ยท On-site

$18 - $20/hr

Your responsibilities will include data entry, receiving jobs, emailing customer, and closing jobs ... engineering, and training.

The engineer will directly work with client system engineers, local client logistics teams, and ... Be responsible for deploying different types of robots to field, including preparation, data entry ...

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Order Planner

Elk Grove Village, IL ยท On-site

$26 - $28/hr

... incoming orders, engineering blueprints, and processing specifications. Essential Job ... Requirements Minimum Job Requirements: * 2+ years of experience in a data entry, data analytics, or ...

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Showing results 1-20

Entry Data Engineer information

See Illinois salary details

$10

$18

$27

How much do entry data engineer jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for entry data engineer in Illinois is $18.87, according to ZipRecruiter salary data. Most workers in this role earn between $15.82 and $21.20 per hour, depending on experience, location, and employer.

What is the difference between Entry Data Engineer vs Data Analyst?

AspectEntry Data EngineerData Analyst
Required CredentialsBachelor's in CS, IT, or related field; knowledge of SQL, Python, ETL toolsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentData engineering teams, cloud platforms, data warehousesBusiness units, reporting teams, data visualization tools
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing, finance, consulting, retail

Entry Data Engineers focus on building and maintaining data pipelines and infrastructure, while Data Analysts interpret data to generate insights. Both roles require SQL and data handling skills, but Data Engineers typically work more on data architecture, whereas Data Analysts focus on analysis and reporting.

What are the key skills and qualifications needed to thrive as an Entry Data Engineer, and why are they important?

To thrive as an Entry Data Engineer, you need a solid understanding of programming (often Python or SQL), data structures, and database fundamentals, typically supported by a relevant degree in computer science or a related field. Familiarity with ETL tools, cloud data platforms (such as AWS or Azure), and version control systems like Git is commonly required. Strong analytical thinking, attention to detail, and effective communication help you collaborate with teams and troubleshoot data issues. These skills are crucial to ensure high-quality, efficient data pipelines and enable data-driven decision-making within organizations.

What are some common challenges faced by entry-level data engineers during their first year on the job?

Entry-level data engineers often encounter challenges such as learning new data pipeline tools, understanding complex legacy systems, and adapting to the fast pace of data-driven environments. Balancing requests from multiple stakeholders and ensuring data accuracy can also be demanding, especially when dealing with large datasets. However, most teams provide mentorship and training to help new hires get up to speed, and collaboration with experienced engineers is encouraged to support skill development.

What does an Entry Data Engineer do?

An Entry Data Engineer is responsible for assisting in the design, development, and maintenance of data pipelines and databases. They work with raw data, helping to clean, organize, and prepare it for analysis by more senior engineers or data scientists. Their tasks often include writing basic SQL queries, automating data collection processes, and supporting data quality initiatives. Entry-level data engineers typically work under the guidance of more experienced team members to learn best practices and develop their technical skills.
What are popular job titles related to Entry Data Engineer jobs in Illinois? For Entry Data Engineer jobs in Illinois, the most frequently searched job titles are:
What cities in Illinois are hiring for Entry Data Engineer jobs? Cities in Illinois with the most Entry Data Engineer job openings:
Infographic showing various Entry Data Engineer job openings in Illinois as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $39,250 per year, or $18.9 per hour.

AI Solutions & Data Engineer

Wight & Company

Darien, IL โ€ข On-site

$111K - $133K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Job description

Are you looking for an opportunity to do challenging, creative work that makes a real impact? Would you like to be part of a company that respects individual contributions and thrives on collaboration? Do you love to win? Then consider joining Wight & Company. We're a nationally recognized, award-winning architecture, engineering, and construction firm known for a dynamic company culture that fosters innovation and challenges the status quo, and we're looking for a talented professional to join our team.

Wight & Company is seeking an AI Solutions & Data Engineerย to help turn artificial intelligence and organizational data into practical solutions for our teams, clients, and projects. This hybrid role will work across architecture, engineering, construction, and business operations to identify valuable AI opportunities, develop AI agents and automated workflows, connect information from multiple systems, and help employees confidently apply AI in their work. The ideal candidate combines technical ability with curiosity, creativity, and strong communication skills. This person should be comfortable building solutions directly, facilitating conversations with teams, translating business challenges into technical approaches, and teaching others how to use new tools effectively. The AI Solutions & Data Engineer will report to the Chief Innovation Officer and collaborate with technology, BIM, operations, and departmental leaders across the company.

ESSENTIAL RESPONSIBILITIES

Develop AI Solutions and Agents

  • Design, build, test, and maintain AI agents that support project delivery and business operations.
  • Develop solutions using large language models, retrieval-augmented generation, workflow automation, APIs, and related technologies.
  • Connect AI tools with internal applications, document repositories, databases, and third-party platforms.
  • Create prototypes and pilot programs that allow teams to evaluate new ideas quickly.
  • Establish methods for testing solution accuracy, reliability, security, and business value.
  • Help move successful prototypes into maintainable, production-ready solutions.
  • Monitor the performance and adoption of deployed AI solutions and improve them over time.

Build and Manage Data Solutions

  • Gather, clean, organize, and combine data from multiple business and project systems.
  • Develop and maintain data pipelines, integrations, structured datasets, and reusable data services.
  • Help establish reliable connections between project, financial, operational, and knowledge-management platforms.
  • Improve the accessibility and usefulness of organizational data while maintaining appropriate security and permissions.
  • Collaborate with system owners to improve data quality, consistency, documentation, and governance.
  • Support dashboards, reporting, predictive analytics, and AI applications that depend on reliable data.
  • Identify opportunities to reduce duplicate data entry and improve the flow of information across the organization.

Identify and Prioritize AI Opportunities

  • Meet with teams across the company to understand their work, challenges, and opportunities.
  • Facilitate workshops and brainstorming sessions focused on meaningful business problems rather than technology alone.
  • Translate business needs into clearly defined AI, automation, or data initiatives.
  • Evaluate potential solutions based on value, feasibility, risk, scalability, and alignment with company priorities.
  • Help departments develop practical roadmaps for adopting AI and improving their use of data.
  • Stay informed about emerging AI capabilities and evaluate where they may create value for the company or its clients.

Train and Support Teams

  • Develop and deliver practical AI training for employees with varying levels of technical experience.
  • Teach teams how to use approved AI tools effectively, securely, and responsibly.
  • Create guides, demonstrations, templates, prompt libraries, and other reusable learning resources.
  • Coach individuals and teams as they incorporate AI into existing workflows.
  • Support a network of internal AI champions who can help expand adoption across the organization.
  • Share successful use cases and lessons learned to encourage continuous improvement.

Support Responsible AI and Data Governance

  • Help establish technical standards for AI development, data integration, documentation, testing, and deployment.
  • Apply appropriate security, privacy, intellectual-property, and data-governance requirements to AI solutions.
  • Work with technology, legal, risk, and business leaders to evaluate proposed tools and use cases.
  • Maintain clear documentation of data sources, integrations, models, prompts, permissions, dependencies, and system behavior.
  • Promote responsible human oversight and clearly communicate the limitations of AI-generated results.

BACKGROUND & EXPERIENCE EXPECTATIONS

  • Bachelor's degree in computer science, data engineering, information systems, software engineering, or a related field-or equivalent professional experience.
  • Experience developing AI-enabled applications, software integrations, data solutions, or workflow automations.
  • Proficiency in Python, SQL, APIs, and common data-processing methods.
  • Experience working with structured and unstructured data from multiple sources.
  • Understanding of modern generative AI concepts, including large language models, embeddings, vector search, tool use, and retrieval-augmented generation.
  • Experience developing with cloud platforms, databases, automation tools, or enterprise application ecosystems.
  • Ability to translate loosely defined business challenges into practical technical solutions.
  • Strong written, verbal, presentation, and facilitation skills.
  • Ability to explain technical concepts clearly to nontechnical audiences.
  • A collaborative mindset and an interest in working directly with employees across many disciplines.
  • Sound judgment regarding data privacy, cybersecurity, intellectual property, and responsible AI use.
  • Ability to balance experimentation and speed with reliability, documentation, and long-term maintainability.

PREFERRED QUALIFICATIONS

  • Experience with Microsoft Azure, Microsoft 365, Copilot Studio, Power Platform, Fabric, or related Microsoft technologies.
  • Experience with AI platforms and APIs such as Azure OpenAI, OpenAI, Anthropic, or similar services.
  • Experience with ETL/ELT processes, data warehouses, lakehouses, semantic models, or business-intelligence platforms.
  • Familiarity with agent frameworks, orchestration tools, vector databases, or enterprise search technologies.
  • Experience with application development, source control, testing, deployment, and DevOps practices.
  • Experience delivering technical training, facilitating workshops, or supporting organizational change.
  • Familiarity with architecture, engineering, construction, professional services, or project-based organizations.
  • Experience integrating enterprise systems such as Microsoft 365, Autodesk Construction Cloud, Procore, Bentley, Unanet, CMiC, Egnyte, or similar platforms.
  • Familiarity with BIM, digital project delivery, estimating, construction management, or design technology is beneficial but not required.

Salary Range: $100,000 - $160,000. Individual pay will be based on several factors including experience, knowledge, skills, and abilities of the applicant.

Wight & Company offers excellent benefits and a wonderful work environment. Our comprehensive benefits including medical, dental, vision, disability, life insurance, flexible spending, paid holidays, paid time off, and a 401(k). Our flexible work schedule allows for a healthy work-life balance. For more information about our company, visit our website atย www.wightco.com.

Wight & Company is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetics, protected veteran status, disability status, or any other characteristic protected by federal, state, or local laws.

Wight & Company values diversity in our workforce. We are committed to recruiting, hiring, and promoting people with disabilities and veterans. If you need an accommodation to assist with completing the electronic application, please call us at 630.969.7000 and ask to speak with a Human Resources representative.

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