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Remote Data Jobs in Normal, IL (NOW HIRING)

SmartIPlace

Mulesoft Developer (Remote)

Bloomington, IL · Remote

$51.50 - $68.25/hr

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

Quora

AI Automation Engineer -Remote

Clintonia, IL · On-site +1

$202K - $234K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

New

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 ...

Humana

Manager, Care Management

Bloomington, IL · Remote

Monitor program performance and use data to evaluate impact, identify gaps, and drive continuous ... This is a remote position that requires travel. * Travel: 50 - 75% field-based interactions ...

Humana

Manager, Care Management

Bloomington, IL · Remote

Monitor program performance and use data to evaluate impact, identify gaps, and drive continuous ... This is a remote position that requires travel. * Travel: 50 - 75% field-based interactions ...

Humana

Manager, Care Management

Bloomington, IL · Remote

Monitor program performance and use data to evaluate impact, identify gaps, and drive continuous ... This is a remote position that requires travel. * Travel: 50 - 75% field-based interactions ...

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Remote Data information

See Normal, IL salary details

$45K

$161.3K

$238.1K

How much do remote data jobs pay per year?

As of Jul 16, 2026, the average yearly pay for remote data in Normal, IL is $161,332.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,500.00 and $166,200.00 per year, depending on experience, location, and employer.

What are some common challenges faced when working as a Remote Data Analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

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

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

How can I make 2000 a week working from home?

Remote data roles such as data analyst or data scientist can offer high earning potential, with experienced professionals earning $2,000 or more weekly through project-based work, consulting, or full-time employment. Building skills in data analysis tools, programming languages, and obtaining relevant certifications can help increase earning capacity, especially when working independently or in specialized niches.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with spreadsheet or database software. Legitimate positions are often posted on reputable job boards and do not require upfront fees.

How to make $1000 a week remotely?

Remote data roles such as data analyst or data scientist can generate $1000 or more weekly with experience, strong analytical skills, and proficiency in tools like Excel, SQL, or Python. Achieving this income often involves freelance projects, contract work, or full-time positions with high pay rates, and may require certifications or specialized knowledge in data management and analysis.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.
What are the most commonly searched types of Data jobs in Normal, IL? The most popular types of Data jobs in Normal, IL are:
What job categories do people searching Remote Data jobs in Normal, IL look for? The top searched job categories for Remote Data jobs in Normal, IL are:
What cities near Normal, IL are hiring for Remote Data jobs? Cities near Normal, IL with the most Remote Data job openings:
Remote Data jobs near you
Mulesoft Developer (Remote)

Mulesoft Developer (Remote)

SmartIPlace

Bloomington, IL • Remote

$51.50 - $68.25/hr

Contractor

Re-posted 4 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

Facebook

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