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Data Engineer Contract Jobs in DeKalb, IL (NOW HIRING)

Assurance Technologies

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Data Entry & Operations Coordinator

Elgin, IL · On-site

$18 - $20/hr

This position combines Data Entry & Warehouse Admin Support depending on workload. The ideal ... contract metrology, engineering, and training.

E.D. Etnyre & Co.

Manufacturing Engineer

Oregon, IL

$68K - $88K/yr

Maintain accurate manufacturing data to support production and inventory control systems, including ... Review customer contract quality requirements and ensure compliance with applicable standards ...

Etnyre International

Manufacturing Engineer

Oregon, IL

$68K - $88K/yr

Maintain accurate manufacturing data to support production and inventory control systems, including ... Review customer contract quality requirements and ensure compliance with applicable standards ...

Etnyre

Manufacturing Engineer

Oregon, IL · On-site

$69K - $104K/yr

Maintain accurate manufacturing data to support production and inventory control systems, including ... Review customer contract quality requirements and ensure compliance with applicable standards ...

Etnyre International

Manufacturing Engineer

Oregon, IL · On-site

$68K - $88K/yr

Develops and maintains the necessary supporting data for our manufacturing/inventory control ... Reviews customer contract quality requirements to ensure our company's compliance and assists in ...

E.D. Etnyre & Co.

Manufacturing Engineer

Oregon, IL · On-site

$68K - $88K/yr

Develops and maintains the necessary supporting data for our manufacturing/inventory control ... Reviews customer contract quality requirements to ensure our company's compliance and assists in ...

Etnyre

Manufacturing Engineer

Oregon, IL · On-site

$69K - $104K/yr

Develops and maintains the necessary supporting data for our manufacturing/inventory control ... Reviews customer contract quality requirements to ensure our company's compliance and assists in ...

Kaney, Inc

Quality Engineer

Rockford, IL · On-site

$75K - $90K/yr

O. contracts for quality requirements. Provide necessary input and concerns to appropriate internal ... Analyze data and with general or limited supervision, to take appropriate corrective action to ...

Kaney Aerospace LLC

Quality Engineer

Rockford, IL · On-site

$75K - $90K/yr

O. contracts for quality requirements. Provide necessary input and concerns to appropriate internal ... Analyze data and with general or limited supervision, to take appropriate corrective action to ...

MasTec Industrial

Field Engineer

Aurora, IL · On-site

$70K - $110K/yr

... contract documents. * Perform basic engineering calculations and technical drafting to support field operations. * Assist Engineers to gather and prepare data for submittal or transmittal to the ...

Kaney

Quality Engineer

Rockford, IL · On-site

$75K - $90K/yr

O. contracts for quality requirements. Provide necessary input and concerns to appropriate internal ... Analyze data and with general or limited supervision, to take appropriate corrective action to ...

Formic

Recruiter (Contract)

Oswego, IL · On-site

... engineering, and software engineering) as well as operational roles (e.g. Finance or Sales ... Maintain excellent data hygiene and integrity by documenting every contact point with candidates ...

W3Global Inc.

Industrial/Manufacturing Engineer

Oregon, IL · On-site

$80K - $85K/yr

Maintain supporting data for manufacturing and inventory control systems, including work centers ... Review customer contract quality requirements and ensure company compliance with those standards ...

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All JobsData Engineer Contract JobsData Engineer Contract Jobs in DeKalb, IL

Data Engineer Contract information

See DeKalb, IL salary details

$43.7K

$127.3K

$174.2K

How much do data engineer contract jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data engineer contract in DeKalb, IL is $127,316.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,400.00 and $135,000.00 per year, depending on experience, location, and employer.

What is a data engineer contract?

A Data Engineer Contract job is a temporary or project-based role where a data engineer is hired for a specific duration to design, build, and maintain data pipelines and infrastructure. Contract data engineers often work with big data technologies, ETL processes, and cloud platforms to ensure data is efficiently processed and accessible. These roles can be short-term (a few months) or long-term (a year or more), depending on the project's needs. Contractors may work independently or as part of a larger data team, and they are typically paid hourly or per project rather than receiving a fixed salary and benefits like full-time employees.

What are the typical daily responsibilities of a data engineer contract?

As a Data Engineer contractor, your day-to-day tasks often include designing, building, and maintaining data pipelines, implementing ETL processes, and preparing datasets for analytics or machine learning teams. You may be asked to collaborate with data scientists, analysts, and other engineers to understand data requirements and resolve technical issues. Contractors also frequently assess data quality, optimize performance, and document their work for seamless team integration. The role is fast-paced and may require you to quickly adapt to new projects or technologies, making it ideal for those who enjoy dynamic, project-based environments.

What are the key skills and qualifications needed to thrive in the data engineer contract position, and why are they important?

To thrive as a Data Engineer Contract, you need expertise in data modeling, ETL processes, and proficiency with programming languages such as Python or SQL, often supported by a degree in computer science or related field. Familiarity with big data platforms like Hadoop or Spark, experience with cloud services (AWS, GCP, or Azure), and certifications in relevant technologies are highly valued. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills. These abilities ensure data engineers can efficiently design scalable pipelines, troubleshoot issues, and collaborate across teams to support data-driven decision-making.

What are the most commonly searched types of Data Engineer jobs in DeKalb, IL?

The most popular types of Data Engineer jobs in DeKalb, IL are:

What are popular job titles related to Data Engineer Contract jobs in DeKalb, IL?

For Data Engineer Contract jobs in DeKalb, IL, the most frequently searched job titles are:

What job categories do people searching Data Engineer Contract jobs in DeKalb, IL look for?

The top searched job categories for Data Engineer Contract jobs in DeKalb, IL are:

What cities near DeKalb, IL are hiring for Data Engineer Contract jobs?

Cities near DeKalb, IL with the most Data Engineer Contract job openings:

Data Engineer Contract jobs near you
Infographic showing various Data Engineer Contract job openings in DeKalb, IL as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $127,316 per year, or $61.2 per hour.

Cloud Solutions Architect / Database Engineer / AI Platform Architect

ABCO Maintenance

Aurora, IL • On-site

$150K - $180K/yr

Full-time

Posted 14 days ago

Job description

EOE Statement
We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.
Category
Information Technology
Description
We are seeking a highly experienced Cloud Solutions Architect / Database Engineer / AI Platform Architect to design and build the cloud, database, security, API, and AI infrastructure that supports our enterprise applications. Compensation for this role will be between $150k-$180k depending on experience.
This role will be responsible for establishing scalable cloud architecture, designing and engineering production databases, developing secure APIs and integration services, implementing authentication and application security standards, and architecting the AI foundation of our applications. The architect will build the backend and AI service layers that allow front-end developers to securely and efficiently consume application data, business functionality, and AI-powered capabilities.
The ideal candidate will have deep expertise in cloud architecture, C#/.NET, SQL Server, database engineering, REST APIs, application security, authentication, Azure or AWS, enterprise integrations, and production AI architecture. This individual should be capable of taking business and application requirements and translating them into secure, scalable, production-ready technical solutions.
Experience with AI and Large Language Model (LLM) platforms is required, particularly when designing the infrastructure, data access, security, APIs, and application architecture necessary to support AI-powered enterprise solutions. The ideal candidate will have hands-on experience building production AI applications using OpenAI, Azure OpenAI, Anthropic, Google AI, or comparable LLM technologies, including designing workflows that enable AI to execute complex business processes through structured instructions, examples, retrieval strategies, orchestration, and enterprise data integration. This role requires experience developing AI as an operational component of an application, not simply integrating an AI API or adding chatbot functionality.
Responsibilities
  • Architect and implement scalable, secure, and highly available cloud environments for enterprise applications.
  • Design the overall backend architecture supporting web applications, internal systems, integrations, and AI-powered solutions.
  • Design, build, and maintain production database environments, including schemas, tables, relationships, stored procedures, views, indexing strategies, and data-access patterns.
  • Develop and optimize SQL Server databases for performance, scalability, reliability, data integrity, and security.
  • Establish database standards covering data modeling, normalization, indexing, query optimization, auditing, backup, recovery, and disaster recovery.
  • Design and develop secure RESTful APIs and backend services using C#, ASP.NET Core, and related .NET technologies.
  • Build well-structured API and service layers that allow front-end developers to consume data and business functionality without requiring direct access to backend systems or databases.
  • Define API contracts, request/response models, validation standards, error handling, versioning, documentation, and integration patterns.
  • Implement authentication and authorization solutions using technologies and standards such as OAuth 2.0, OpenID Connect, JWT, SSO, RBAC, and enterprise identity providers.
  • Design and enforce application and API security standards, including SSL/TLS, encryption, secrets management, certificate management, secure configuration, and least-privilege access.
  • Implement secure communication between cloud services, databases, APIs, external systems, AI services, and front-end applications.
  • Design cloud networking and infrastructure components including application hosting, databases, storage, identity, networking, firewalls, gateways, load balancing, monitoring, logging, and availability strategies.
  • Develop integration architectures for internal systems, third-party applications, vendor APIs, and enterprise platforms.
  • Design data pipelines, ETL processes, data transformation services, and system-to-system integrations where required.
  • Establish logging, monitoring, auditing, alerting, and observability standards across backend services and cloud infrastructure.
  • Design scalable architectures capable of supporting increasing users, transaction volumes, data volumes, integrations, AI workloads, and application workloads.
  • Implement caching, asynchronous processing, queues, background services, and other distributed architecture patterns when appropriate.
  • Develop and maintain CI/CD pipelines and infrastructure deployment processes.
  • Work closely with front-end developers to define API requirements, data contracts, authentication flows, AI service interactions, and integration standards.
  • Design and implement AI workflow architectures that enable Large Language Models to perform complex business functions by defining process sequences, system instructions, prompt strategies, retrieval mechanisms, examples, evaluation methods, tool interactions, and orchestration workflows.
  • Architect AI systems capable of incorporating enterprise knowledge and business processes through structured process definitions, contextual examples, retrieval, tool use, and iterative refinement so that AI can reliably execute operational business tasks.
  • Design Retrieval-Augmented Generation (RAG) architectures that securely retrieve relevant enterprise information from databases, documents, APIs, vector stores, and other approved business data sources.
  • Design secure AI integration patterns that control how LLMs access enterprise databases, APIs, internal systems, and sensitive business information.
  • Establish AI evaluation, testing, monitoring, and quality standards to measure accuracy, reliability, consistency, security, and effectiveness of AI-powered workflows.
  • Collaborate with business stakeholders and development teams to translate application requirements and business processes into technical and AI architectures.
  • Evaluate technical risks, scalability requirements, security concerns, infrastructure costs, AI usage costs, and architectural tradeoffs.
  • Conduct architecture and code reviews and establish backend, database, API, cloud, security, and AI development standards.
  • Provide technical leadership and mentoring to developers working within the architecture.

Position Requirements
Qualifications
  • 8+ years of professional software development, cloud engineering, database engineering, or software architecture experience.
  • Demonstrated experience designing production cloud and backend architectures for enterprise applications.
  • Strong expertise with C#, .NET, ASP.NET Core, and RESTful API development.
  • Advanced SQL Server and database engineering experience.
  • Strong experience with relational data modeling, database architecture, stored procedures, indexing, query optimization, execution plans, and performance tuning.
  • Experience designing databases for high-volume, production enterprise applications.
  • Strong experience designing secure API and service architectures consumed by modern web applications.
  • Strong understanding of API contracts, versioning, validation, error handling, documentation, and service-layer architecture.
  • Extensive experience with authentication and authorization technologies including OAuth 2.0, OpenID Connect, JWT, SSO, and role-based access control.
  • Strong understanding of SSL/TLS, encryption, certificate management, secrets management, secure credential storage, and application security best practices.
  • Production experience with Microsoft Azure, AWS, or comparable enterprise cloud environments.
  • Experience designing cloud networking, compute, storage, database, identity, monitoring, and security infrastructure.
  • Strong understanding of distributed systems, scalability, availability, fault tolerance, disaster recovery, and production support.
  • Experience with Git, CI/CD methodologies, deployment pipelines, and automated application deployment.
  • Demonstrated experience designing, building, and deploying AI-powered applications using OpenAI, Azure OpenAI, Anthropic, Google AI, or similar LLM platforms. Candidates should have experience creating AI workflows that enable models to perform business processes through structured prompts and system instructions, process sequencing, examples, retrieval, evaluation, tool use, orchestration, and production integration-not simply consuming AI APIs.
  • Experience designing AI capabilities as integrated components of enterprise applications and business workflows.
  • Ability to translate business processes into technical workflows, data requirements, API interactions, AI instructions, and system architectures.
  • Strong troubleshooting, analytical, documentation, and communication skills.
  • Experience providing technical leadership, architecture guidance, and mentoring to software development teams.

Preferred Skills
  • Microsoft Azure architecture experience, including services such as Azure App Service, Azure SQL, Azure Functions, Azure Storage, Key Vault, Microsoft Entra ID, API Management, Application Insights, and Azure networking.
  • Experience with AWS or multi-cloud architectures.
  • Experience with Docker, Kubernetes, containerized applications, and container orchestration.
  • Experience with API gateways, reverse proxies, load balancers, message queues, caching platforms, and event-driven architectures.
  • Experience with Infrastructure as Code technologies such as Terraform, Bicep, ARM templates, or CloudFormation.
  • Experience designing enterprise integration architectures and ETL/data-processing pipelines.
  • Experience with data warehousing, reporting databases, and business intelligence architectures.
  • Hands-on experience designing and building production AI applications using OpenAI, Azure OpenAI, Anthropic, Google AI, or comparable generative AI platforms.
  • Experience architecting AI workflows, prompt engineering, system instructions, Retrieval-Augmented Generation (RAG), vector databases, embeddings, semantic search, AI agents, tool/function calling, orchestration frameworks, and evaluation methodologies for enterprise AI solutions.
  • Experience designing AI systems that incorporate business workflows through structured process definitions, contextual examples, enterprise knowledge retrieval, tool use, and iterative refinement, enabling AI to reliably execute operational business tasks.
  • Experience designing secure architectures that allow AI systems to interact with enterprise databases, APIs, internal systems, and business information while maintaining appropriate authorization and data-access controls.
  • Familiarity with Angular, React, Blazor, or other modern front-end frameworks sufficient to effectively design APIs and services supporting front-end development.
  • Experience with IIS and Windows Server environments.
  • Experience with automated testing, performance testing, security testing, and vulnerability management.

Role Focus
This position is primarily an architecture, backend infrastructure, database, security, and AI platform role, not a front-end development position.
The successful candidate will own the technical foundation behind our applications:
Cloud Infrastructure → Security & Identity → Databases → Backend Services → APIs → AI Services → Front-End Applications
The architect will ensure that front-end developers have secure, reliable, well-documented APIs and services through which application functionality, enterprise data, and AI capabilities can be accessed.
In addition to owning the cloud, database, security, integration, and API architecture, this role will play a critical part in designing the AI foundation of our platform. We are building enterprise applications in which AI is an operational component of the business process, not simply a chatbot or standalone feature.
The successful candidate will have proven experience building AI-powered products that enable Large Language Models to execute business workflows through structured process design, system instructions, contextual examples, retrieval strategies, tool use, orchestration, evaluation, and enterprise integrations. Experience building production solutions using OpenAI, Azure OpenAI, or comparable LLM platforms is considered a core requirement of this role.
The overall goal of this position is to establish a secure, scalable, maintainable, and production-ready cloud and AI architecture that provides the foundation on which our front-end applications and future intelligent business capabilities are built.
Full-Time/Part-Time
Full-Time
Position
IT SUPPORT PROFESSIONAL
Number of Openings
1
Open Date
8/7/2026
Location
Illinois
About the Organization
This position is currently accepting applications.

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