ZipRecruiter

Log In

2

Remote Data Integration Developer Jobs in Chicago, IL

Apex Systems

AI Integration Developer

Lemont, IL · On-site +1

$50 - $80/hr

Package data with AI-enabling metadata into HDF5 format. * Create mechanisms to migrate and ... The work schedule is primarily remote, with a requirement to be on-site between 20-40% of the time.

CoSourcing Partners

GCP Gemini AI Developer

Chicago, IL · On-site +1

Remote / Hybrid - Chicago preferred Employment Type: Contract / Full-Time Reports To: GCP Technical ... data engineering, AI model orchestration, and API integration to create AI-driven business ...

Prenosis, Inc.

Healthcare Integration Engineer

Chicago, IL · On-site +1

$90K - $120K/yr

Position Summary We are seeking a Healthcare Data Integration Engineer that can design, develop, and maintain systems that enable the exchange of data between different healthcare systems and the ...

Claritev

Data Engineer (remote)

Naperville, IL · Remote

$114.40K - $137.40K/yr

This role will be part of the team responsible for developing and deploying Data Engineering Platform and Integration Solutions. Primary responsibility will be to work closely with the Data ...

Apex Systems

Cloud Data Engineer

Oak Brook, IL · Remote

$115.70K - $138.90K/yr

Oak Brook, Illinois (Remote) Employment Type: Contract to Perm Role Overview This position is for ... Develop data integration and transformation jobs using Python, SQL, and ETL/ELT tools. * Build the ...

Miller Cooper

Integrations Engineer

Chicago, IL · Remote

$107.30K - $144.50K/yr

This hands-on, high impact and fully remote U.S. based role will have the opportunity to influence ... Troubleshoot production issues with focus on data integrity * Build reusable integration patterns

Miller Cooper

Integrations Engineer

Chicago, IL · Remote

$85K - $95K/yr

Fully remote role that has a large business impact. How You'll Contribute * Own end-to-end ... Troubleshoot production issues with focus on data integrity * Build reusable integration patterns

Procom

MDM Developer

Chicago, IL · On-site +1

Overview We're hiring a full-time, remote MDM Developer to build and support Informatica MDM ... Develop and support Informatica MDM solutions (data models, workflows, integrations) * Configure ...

Crash Champions

Senior Data Engineer - Remote

Westmont, IL · Remote

$106.10K - $144.10K/yr

Fully support the documentation of the data integration solutions, provide data dictionaries, Data Flow/Process Flow diagrams and update runbooks. * Automate DB deployments using DevOps Pipelines.

Origami Risk LLC

(Senior) Corporate Data Analyst

Chicago, IL · On-site +1

$67.80K - $101.70K/yr

... integration engineers when needed. * Works with stakeholders, including cross departments, to ... All full-time positions are hybrid, with many eligible to be completely remote * Fully Paid by ...

next page

Showing results 1-20

People also search for

All JobsData Integration Developer JobsRemote Data Integration Developer JobsRemote Data Integration Developer Jobs in Chicago, IL

Remote Data Integration Developer information

See Chicago, IL salary details

$10

$53

$86

How much do remote data integration developer jobs pay per hour?

As of May 29, 2026, the average hourly pay for remote data integration developer in Chicago, IL is $53.24, according to ZipRecruiter salary data. Most workers in this role earn between $44.81 and $59.90 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Integration Developer, and why are they important?

To thrive as a Remote Data Integration Developer, you need a strong background in database management, ETL processes, and programming languages like SQL, Python, or Java, often supported by a degree in computer science or related fields. Familiarity with data integration platforms (e.g., Informatica, Talend, MuleSoft), cloud services (AWS, Azure), and relevant certifications are typically required. Excellent problem-solving skills, attention to detail, and effective remote communication are crucial soft skills for collaborating across distributed teams. These skills and qualifications ensure the seamless, secure, and efficient transfer of data across systems, which is vital for organizational decision-making and operations.

What are some common challenges Remote Data Integration Developers face when collaborating with distributed teams?

Remote Data Integration Developers often work with teams spread across different time zones and departments, which can present challenges in communication and project coordination. Ensuring data consistency and managing integration schedules require clear documentation and regular virtual meetings to stay aligned. Additionally, troubleshooting integration issues remotely may involve navigating various system environments without direct on-site access. Proactive communication and the use of collaborative tools help overcome these obstacles and support successful project delivery.

What is a Remote Data Integration Developer?

A Remote Data Integration Developer is an IT professional who specializes in designing, building, and maintaining systems that combine data from different sources, working entirely from a remote location. They use tools and programming languages to create automated data pipelines, ensure data quality, and enable seamless data flow across platforms. Their role is crucial for organizations needing accurate, up-to-date data for analysis and decision-making. Remote Data Integration Developers often collaborate with data engineers, analysts, and stakeholders, using cloud-based tools to facilitate their work.

What is the difference between Remote Data Integration Developer vs Data Engineer?

AspectRemote Data Integration DeveloperData Engineer
Required CredentialsTypically requires SQL, ETL tools, and data integration certificationsRequires SQL, programming languages (Python, Java), and sometimes cloud certifications
Work EnvironmentPrimarily remote, focused on data pipelines and integration tasksOften remote or on-site, involved in building and maintaining data infrastructure
Employer & Industry UsageUsed in tech, finance, healthcare for data flow managementCommon in tech, finance, and large enterprises for data architecture

The Remote Data Integration Developer focuses on designing and implementing data pipelines and integrating data from various sources, often working with ETL tools. Data Engineers build and maintain the overall data infrastructure, including data warehouses and pipelines, requiring broader programming skills. Both roles are essential in data management but differ in scope and technical depth.

What are the most commonly searched types of Data Integration Developer jobs in Chicago, IL? The most popular types of Data Integration Developer jobs in Chicago, IL are:
Remote Data Integration Developer jobs near you
AI Integration Developer

AI Integration Developer

Sterling Engineering Inc.

Lemont, IL • On-site, Remote

$40 - $45/hr

Full-time

Medical, Dental, Vision

Posted 8 days ago

Job description

Overview:
  • Location: Lemont, IL
  • Schedule: Primarily remote with occasional onsite visits (approximately 15–20%)
  • Pay Rate: $40–45/hour
  • Contract Length: Minimum 1-year contract
  • Benefits: BCBS Medical, Dental, and Vision coverage available

This role will focus on building and improving AI-enabled data workflows that support research scientists and technical teams. The ideal candidate will have experience integrating AI/LLM technologies into structured workflows, automating data processes, and developing scalable solutions for data organization, migration, and accessibility.

The individual will work directly with scientific domain experts to understand data structures, identify workflow requirements, and create solutions that improve data management, accessibility, and AI-readiness.

Key Responsibilities:

  • Collaborate with technical and scientific stakeholders to understand datasets, workflows, and business requirements
  • Design and implement AI-assisted workflows for scientific and research data
  • Develop methods for metadata extraction, data normalization, sanitization, and organization
  • Package datasets into structured formats suitable for long-term storage and AI usage
  • Build automated mechanisms for data migration, inventory management, and retrieval
  • Develop user-friendly interfaces and workflow tools for internal research teams
  • Create and maintain technical documentation and workflow documentation
  • Ensure all development follows cybersecurity, compliance, and IT standards
  • Work within revision-controlled development environments using Git-based workflows
  • Participate in iterative development cycles, including MVP delivery, refinement, and feature enhancements
  • Support multiple active development projects simultaneously
Required Qualifications:

  • Strong understanding of AI technologies and Large Language Models (LLMs)
  • Experience developing AI-integrated workflows and prompt engineering strategies
  • Familiarity with AI orchestration platforms such as Dify or similar tools
  • Experience with relational databases such as MySQL, MariaDB, Oracle, or similar
  • Working knowledge of Python or similar scripting/programming languages
  • Experience using Git and revision control systems
  • Familiarity with CI/CD pipelines and automated deployment/testing environments
  • Experience working with RESTful APIs and web services
  • Strong Linux experience, including CLI administration and development in Debian and/or RHEL environments
  • Familiarity with GUI development through web applications or Python-based tools
  • Strong communication skills with the ability to gather requirements from technical stakeholders
Preferred Background
  • Associate’s or Bachelor’s degree in Computer Science, Information Technology, System Administration, or a related field
  • 2+ years of experience in software development and/or system administration
Qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity