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Remote Data Engineer Jobs in Normal, IL (NOW HIRING)

SmartIPlace

Mulesoft Developer (Remote)

Bloomington, IL · Remote

$51.50 - $68.25/hr

MuleSoft Developer Location: Bloomington, IL - Remote Role Overview: * We are seeking a strong ... Create and maintain API specifications and data mappings using RAML/OpenAPI, DataWeave, JSON, XML ...

Hirekeyz Inc

IBM BAW Developer

Bloomington, IL · Remote

Remote (Bloomington, IL) Jib Type: Contract We are seeking a highly skilled IBM Business Automation ... Deep understanding of relational/dimensional data modeling and data mapping design, integration ...

Varsity Tutors

Python Tutor

Normal, IL · Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

All JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Normal, IL

Remote Data Engineer information

See Normal, IL salary details

$43.5K

$126.8K

$173.5K

How much do remote data engineer jobs pay per year?

As of Jun 25, 2026, the average yearly pay for remote data engineer in Normal, IL is $126,819.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,900.00 and $134,400.00 per year, depending on experience, location, and employer.

What Does a Remote Data Engineer Do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

Can a data engineer work remotely?

Yes, data engineers can work remotely, especially as many companies adopt flexible work arrangements. Remote data engineering roles often require strong skills in cloud platforms, data pipelines, and collaboration tools, and may involve regular virtual communication with teams. The feasibility depends on the company's policies and the specific job requirements.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines and infrastructure that require human oversight and expertise. Instead, AI tools can augment their work by automating routine tasks, allowing data engineers to focus on complex problem-solving and system architecture. Skills in programming, cloud platforms, and data management remain essential for the role.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

How do remote Data Engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a Remote Data Engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data infrastructure.

How to make $1000 a week remote?

A remote data engineer can earn $1000 or more per week by working full-time for a company, freelancing on project-based platforms, or offering specialized skills such as data pipeline development, cloud computing, or machine learning. Building a strong portfolio, gaining relevant certifications, and mastering tools like SQL, Python, and cloud services can increase earning potential.
More about Remote Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Normal, IL? The most popular types of Data Engineer jobs in Normal, IL are:
What are popular job titles related to Remote Data Engineer jobs in Normal, IL? For Remote Data Engineer jobs in Normal, IL, the most frequently searched job titles are:
What cities near Normal, IL are hiring for Remote Data Engineer jobs? Cities near Normal, IL with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Normal, IL as of June 2026, with employment types broken down into 2% As Needed, 75% Full Time, 20% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $126,819 per year, or $61 per hour.
Mulesoft Developer (Remote)

Mulesoft Developer (Remote)

SmartIPlace

Bloomington, IL • Remote

$51.50 - $68.25/hr

Contractor

Posted 13 days ago

Job description


Job Title: MuleSoft Developer
Location: Bloomington, IL – Remote
Role Overview:
 
  • We are seeking a strong, hands-on MuleSoft Developer to support enterprise API and integration delivery.
  • This role is best suited for a developer with recent, practical experience building and supporting MuleSoft integrations with limited day-to-day design oversight.
  • The ideal candidate is comfortable working independently in the MuleSoft Anypoint Platform, delivering high-quality APIs and integrations, and partnering with architects, analysts, and delivery teams to implement scalable, secure, and supportable solutions.

Work Model
The remaining opening for this role can be fully remote.
Key Responsibilities
  • Design, develop, configure, test, debug, and document APIs and integrations using MuleSoft Anypoint Platform.
  • Build and maintain MuleSoft solutions using Anypoint Studio, API Manager, Runtime Manager, and related platform capabilities.
  • Develop REST and SOAP integrations, implement reusable APIs, and apply API-led connectivity principles where appropriate.
  • Create and maintain API specifications and data mappings using RAML/OpenAPI, DataWeave, JSON, XML, and related integration standards.
  • Deploy and support Mule applications in production and non-production environments, including CloudHub and other supported runtime models as applicable.
  • Implement automated build and deployment practices using GitLab and CI/CD pipelines.
  • Perform unit testing and integration testing, including MUnit where appropriate, and support defect resolution through release cycles.
  • Troubleshoot integration issues, optimize performance, and improve reliability, recovery, failover, logging, and alerting.
  • Collaborate with cross-functional teams to review requirements, provide technical feedback, and contribute to design and code reviews.
  • Develop and maintain technical, operational, and system-level documentation for integrations and APIs.
  • Implement security best practices for APIs and integrations, including authentication, authorization, encryption, and secure coding standards.
  • Support file-based and database-based integrations, including scripting or configuration for file movement, scheduling, and downstream processing where needed.
Required Qualifications
  • 7+ years of experience in software development, systems integration, or middleware delivery in medium to large enterprise environments.
  • Recent hands-on experience developing with MuleSoft Anypoint Platform in a delivery-focused role.
  • Strong experience designing, developing, and supporting MuleSoft APIs and integrations for enterprise systems.
  • Experience with Mule 4, Anypoint Studio, API Manager, Runtime Manager, and deployment pipelines.
  • Strong knowledge of REST, SOAP, HTTP, API security, and integration patterns.
  • Proficiency with DataWeave and data transformation across JSON, XML, flat files, and related formats.
  • Experience with Git-based source control and CI/CD automation using tools such as GitLab.
  • 4+ years of SQL experience, including developing, modifying, troubleshooting, and optimizing complex queries and stored procedures.
  • Strong understanding of relational and dimensional data modeling, data mapping, and integration design.
  • Ability to build resilient integrations with robust error handling, monitoring, logging, and recovery mechanisms.
  • Strong verbal and written communication skills with the ability to work effectively across technical and business teams.
  • Preferred Qualifications
  • Experience deploying MuleSoft applications to CloudHub.
  • Background in Java, J2EE, JDBC, SQL, PL/SQL, and enterprise integration technologies.
  • Experience integrating with databases, file platforms, SaaS applications, and enterprise systems.
  • Experience in banking, insurance, or other regulated industries.
  • MuleSoft certification is a plus.
Delivery Expectations
  • Operate as a productive, low-oversight MuleSoft developer who can take requirements and technical direction and convert them into working integration solutions.
  • Produce clean, supportable, well-documented code that aligns to enterprise standards and secure development practices.
  • Work within the company software development lifecycle, including design, coding, testing, release support, and documentation.
  • Compliance and Secure Coding

If you are interested in this position, please reply with your updated resume and contact information.
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About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

Social media

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