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Remote Data Conversion Developer Jobs in Chicago, IL

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Mechanical Engineering, Materials, Chemistry, Chemical Engineering, or Electrical Engineering

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Mechanical Engineering, Materials, Chemistry, Chemical Engineering, or Electrical Engineering

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Mechanical Engineering, Materials, Chemistry, Chemical Engineering, or Electrical Engineering

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Mechanical Engineering, Materials, Chemistry, Chemical Engineering, or Electrical Engineering

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Mechanical Engineering, Materials, Chemistry, Chemical Engineering, or Electrical Engineering

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Mechanical Engineering, Materials, Chemistry, Chemical Engineering, or Electrical Engineering

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Mechanical Engineering, Materials, Chemistry, Chemical Engineering, or Electrical Engineering

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Mechanical Engineering, Materials, Chemistry, Chemical Engineering, or Electrical Engineering

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Mechanical Engineering, Materials, Chemistry, Chemical Engineering, or Electrical Engineering

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Mechanical Engineering, Materials, Chemistry, Chemical Engineering, or Electrical Engineering

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Mechanical Engineering, Materials, Chemistry, Chemical Engineering, or Electrical Engineering

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Mechanical Engineering, Materials, Chemistry, Chemical Engineering, or Electrical Engineering

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Mechanical Engineering, Materials, Chemistry, Chemical Engineering, or Electrical Engineering

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Mechanical Engineering, Materials, Chemistry, Chemical Engineering, or Electrical Engineering

Associate Data Engineer

Naperville, IL · Remote

$114K - $137K/yr

About the Role We're looking for an Associate Data Engineer to join our team and help make data ... Comfort working in a remote, collaborative environment * Based in the United States (preferred time ...

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Mechanical Engineering, Materials, Chemistry, Chemical Engineering, or Electrical Engineering

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Mechanical Engineering, Materials, Chemistry, Chemical Engineering, or Electrical Engineering

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Mechanical Engineering, Materials, Chemistry, Chemical Engineering, or Electrical Engineering

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Showing results 1-20

Remote Data Conversion Developer information

See Chicago, IL salary details

$11.3K

$113.3K

$143.7K

How much do remote data conversion developer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for remote data conversion developer in Chicago, IL is $113,315.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,600.00 and $139,100.00 per year, depending on experience, location, and employer.

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

AspectRemote Data Conversion DeveloperData Analyst
Required CredentialsTypically requires programming skills, data conversion tools, and sometimes certifications in data managementRequires analytical skills, proficiency in data visualization, and often a degree in statistics or related fields
Work EnvironmentPrimarily technical, focused on data transformation, ETL processes, and scriptingAnalytical, focused on interpreting data, creating reports, and providing insights
Employer & Industry UsageUsed in IT, data management, and software development sectorsCommon in finance, marketing, healthcare, and business intelligence sectors

The main difference is that Remote Data Conversion Developers focus on transforming and converting data using technical skills, while Data Analysts interpret and analyze data to support decision-making. Both roles may work remotely and require familiarity with data tools, but their core responsibilities differ significantly.

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

To thrive as a Remote Data Conversion Developer, you need strong programming skills (often in SQL, Python, or ETL tools), data mapping expertise, and an understanding of database structures, typically backed by a degree in computer science or related experience. Familiarity with data conversion platforms such as Informatica, Talend, or SSIS, and certifications in relevant tools or cloud services, are commonly required. Excellent problem-solving, attention to detail, and effective communication are crucial soft skills for collaborating remotely and managing complex data processes. These skills ensure accurate, efficient data transformations and seamless integration across diverse systems in a distributed work environment.

What is a Remote Data Conversion Developer?

A Remote Data Conversion Developer is a professional who specializes in transforming data from one format or system to another, often working from a remote location. Their main responsibilities include analyzing existing data structures, designing conversion processes, writing scripts or software to automate data migration, and ensuring data integrity during the conversion. They typically work with databases, data warehouses, or legacy systems to facilitate seamless data transitions during system upgrades or platform changes. Strong skills in programming, data analysis, and problem-solving are essential for this role.

What are some common challenges faced by Remote Data Conversion Developers when working with legacy data systems?

Remote Data Conversion Developers often encounter challenges such as inconsistent data formats, incomplete or corrupted datasets, and undocumented legacy systems. Successfully converting and migrating data requires problem-solving skills to map and validate data accurately, as well as strong communication with business analysts and system owners to clarify requirements and resolve ambiguities. Additionally, thorough testing and quality assurance are essential to ensure data integrity throughout the conversion process.
What are the most commonly searched types of Data Conversion Developer jobs in Chicago, IL? The most popular types of Data Conversion Developer jobs in Chicago, IL are:
What job categories do people searching Remote Data Conversion Developer jobs in Chicago, IL look for? The top searched job categories for Remote Data Conversion Developer jobs in Chicago, IL are:

Manager, Data Engineering- Data Visualization

Inspira Financial

Oak Brook, IL

Full-time

Posted 18 days ago


Inspira Financial rating

8.0

Company rating: 8.0 out of 10

Based on 16 frontline employees who took The Breakroom Quiz


Job description

The Data Engineering Manager - Enterprise Data Visualization will report to the Sr. Director, Data Engineering in the Technology Department. This role will engage with Business Leaders, Analysts, Data Stewards, Application Architects, and third-party providers. This role will lead an agile team of Data Engineers that work to enhance data delivery, quality, accessibility, and analysis. This role will improvefunctionality,streamline data processes, provide direct support to the business and operational teams, and strengthen targeted business strategies. The role works closely with the Business, Operations and Technology groups to help design and lead the development and maintenance of the Enterprise Reporting Platform.

If you are ready to advance your career and contribute to a rapidly growing company dedicated to delivering innovative products and ensuring an exceptional client experience, we eagerly await your application!

Duties & Responsibilities:

  • Lead an agile team of data engineers with varying levels of experience in the delivery of enterprise data initiatives.
  • Oversee the creation of data visualizations including enterprise dashboards,analytical,and operational reporting.
  • Partner with business leadership to implement 3-5-yearplan for area of responsibility.
  • Manage multiple concurrent projects.
  • Define andestablishbenchmarks,metrics,and quality measures.
  • Support disaster recovery and contingency planning.
  • Ensure solutions meet non-functional requirements, including security, performance, maintainability, scalability, usability, and reliability.
  • Effectively manage relevant 3rd party vendor relationships.
  • Support the stability and resiliency of Data Visualization production processes, as well as instituting a robust support model addressing process and application failures.
  • Understandthe businessand technology.
  • Drive process alignment with business partners.
  • Identifyproject team requirements and capital requirements.
  • Evaluate and integrate productivity tools, development tools, testing tools, databases, and applications into this architecture.
  • Work with the leaders of Technology Infrastructure and Software Engineering to ensure effective operational tools and procedures are in place to support the application architecture.
  • Research and strategize emerging technologies relevant to business needs.
  • Develop and document an overall enterprise reporting delivery architecture which is fit for businesspurposesand cost effective.

Supervisory Responsibilities:

  • Recruits, interviews, hires, and trainsnew staff.
  • Oversees the daily workflow of the department.
  • Provides constructive andtimelyperformance evaluations.
  • Participate in budget planning and monitoring.

What Inspira Financial employees say

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