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Remote Data Conversion Developer Jobs in Chicago, IL

RIT Solutions, Inc.

Senior Data Engineer

Chicago, IL · On-site +1

$109.30K - $148.50K/yr

This position requires a strong commitment to working full-time onsite (with potential remote flexibility on Fridays) and leveraging data engineering expertise to drive business insights and ...

Clarity Partners LLC

GIS Developer

Chicago, IL · On-site +1

$85K - $105K/yr

Perform quality control on data capture, conversion, and external data integration. * Produce high ... Proficiency in programming/scripting languages (Python, HTML, JavaScript). * Strong communication ...

PAR Technology

Sr. Data Engineer

Chicago, IL · On-site +1

$130K - $144K/yr

Remote, United States Reports To: Engineering Manager What We're Looking For: Requirements: * Experience : 5+ years of experience in data engineering or related roles * Project Management

Inficare

Azure Data Architect

Chicago, IL · Remote

$65.75 - $84.50/hr

Azure Data Architect with Insurance domain Madison, WI or Chicago, IL (Remote will work but need to ... Partner with business, data engineering, and platform teams to enable Insights creation for ...

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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 May 28, 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 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 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 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 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 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 are popular job titles related to Remote Data Conversion Developer jobs in Chicago, IL? For Remote Data Conversion Developer jobs in Chicago, IL, the most frequently searched job titles 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:
Remote Data Conversion Developer jobs near you

Senior Data Engineer

RIT Solutions Inc/ Tech Dev IT/ Texperts Inc/ConceptsIT, Inc.

Chicago, IL • On-site, Remote

$109.30K - $148.50K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Senior Data Engineer
Chicago, IL Onsite Need Local
Job Description
Senior Data Engineer
We are seeking a Senior Data Engineer to lead the design, development, and maintenance of scalable, high-performance data solutions focused on Data Centralization, Governance, and Integrity. This is a highly technical role requiring expertise in Google Cloud Platform (GCP) native services (BigQuery, Dataflow, Dataproc) to build automated, cost-efficient, and complex data pipelines. The ideal candidate will be a technical leader, making key architectural decisions, implementing robust data frameworks, and mentoring junior engineers. This position requires a strong commitment to working full-time onsite (with potential remote flexibility on Fridays) and leveraging data engineering expertise to drive business insights and analytics.
Key Requirements
  • Experience & Education:
    • 5-6 years of experience as a Data Engineer or in a comparable Business Intelligence role.
    • Bachelor of Science in Information Technology, Computer Science, or a related technical field.
  • Cloud & Pipeline Expertise (Required):
    • Proficiency with GCP (Google Cloud Platform) offering is required
    • Expertise in designing and building large-scale, automated data pipelines using GCP native services (e.g., BigQuery, Dataflow, Dataproc).
    • Experience with Terraform to create and maintain intermediate to advanced infrastructure-as-code scripts is a plus
  • Database & Coding Skills:
    • 4-5 years minimum experience with relational databases ( MS-SQL, Postgres, or Oracle).
    • 3-4 years of experience with NoSQL databases ( Capella or MongoDB).
    • 2-3 years of experience with Python or a similar language.
    • Ability to work with multi-statement complex queries and enhance performance/troubleshoot issues.
  • Architecture & Governance:
    • Proven ability to make key architectural decisions related to data modeling, storage, and real-time processing.
    • Experience assisting with data governance, quality, and lineage practices using tools like Data Catalog, DLP, or Cloud Audit Logs.
    • Experience translating business requirements into technical design documents.
  • Work Schedule & Location:
    • Full-time onsite commitment required (Monday-Friday, 8a-5p), with remote flexibility for Fridays pending manager approval.
  • Desired Experience (Bonus):
    • Experience in the logistics or transportation industry (1-3 years).
    • Proven ability to mentor junior engineers and provide technical guidance.
    • Experience with monitoring and optimizing GCP resources for cost management.

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