1

Data Conversion Programmer Jobs in Chicago, IL (NOW HIRING)

The role involves programming and maintaining dashboards, supporting analytics projects, and ... conversion plans for system changes including communication and maintenance testing. • Supports ...

... develop conversion plans for system changes including communication and maintenance testing ... Utilizes Application Programming Interfaces (APIs) to interact with and manipulate multiple systems ...

... develop conversion plans for system changes including communication and maintenance testing ... Utilizes Application Programming Interfaces (APIs) to interact with and manipulate multiple systems ...

... develop conversion plans for system changes including communication and maintenance testing ... Utilizes Application Programming Interfaces (APIs) to interact with and manipulate multiple systems ...

Oracle Batch Lead

Chicago, IL · On-site

$70K - $196K/yr

You understand how batch processing underpins every critical utility business process-from billing runs and meter reads to data conversion and interface orchestration. You combine hands-on Oracle ...

Partner with engineering to drive architecture decisions for shared data layers, feature pipelines ... ETA confidence vs. conversion risk, fulfillment reliability vs. cost, marketplace growth vs ...

Lead the design and delivery of modern data engineering solutions that enable AI‑ready data ... funnel conversion, customer segmentation, or related commercial metrics. * Proficiency with ...

Showing results 41-60

Data Conversion Programmer information

See Chicago, IL salary details

$16

$28

$48

How much do data conversion programmer jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for data conversion programmer in Chicago, IL is $28.99, according to ZipRecruiter salary data. Most workers in this role earn between $22.31 and $30.72 per hour, depending on experience, location, and employer.

What is a data conversion programmer?

A Data Conversion Programmer is an IT professional who specializes in transforming data from one format, system, or structure to another. They work on projects such as software migrations, system upgrades, or integrating new technologies, ensuring that data is accurately and efficiently transferred without loss or corruption. These programmers write scripts or use specialized tools to map, extract, clean, and load data into new environments, often collaborating closely with database administrators and business analysts. Their role is crucial in maintaining data integrity and supporting seamless transitions between different technology platforms.

What are some common challenges faced by data conversion programmers during large-scale migration projects?

Data Conversion Programmers often encounter challenges such as handling inconsistencies in legacy data, ensuring data integrity during transformation, and accommodating different data formats and structures. Working closely with business analysts and end users is essential to clarify data mapping rules and resolve ambiguities. Additionally, coordinating with database administrators and IT teams helps address performance issues and minimize downtime during cutover, making cross-team communication a vital part of the role.

What is the difference between Data Conversion Programmer vs Data Analyst?

AspectData Conversion ProgrammerData Analyst
Required SkillsProgramming, data transformation, scriptingData interpretation, statistical analysis, reporting
Work EnvironmentIT teams, software development projectsBusiness units, research teams
CertificationsSQL, programming languages, data managementExcel, statistical tools, data visualization
Industry UsageData migration, database managementBusiness insights, decision-making

While both roles handle data, a Data Conversion Programmer focuses on transforming and migrating data between systems using programming skills, whereas a Data Analyst interprets data to generate insights and support business decisions. The roles often overlap in data handling but differ in their primary objectives and skill sets.

What are the key skills and qualifications needed to thrive as a data conversion programmer, and why are they important?

To thrive as a Data Conversion Programmer, you need strong programming skills in languages such as SQL, Python, or Java, combined with expertise in data modeling and database management. Familiarity with ETL tools, data migration platforms, and certifications in database technologies or cloud platforms is often expected. Attention to detail, problem-solving abilities, and effective communication are standout soft skills for this role. These skills ensure accurate, efficient data transfers and minimize errors during complex system migrations or integrations.
What are popular job titles related to Data Conversion Programmer jobs in Chicago, IL? For Data Conversion Programmer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Data Conversion Programmer jobs in Chicago, IL look for? The top searched job categories for Data Conversion Programmer jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Data Conversion Programmer jobs? Cities near Chicago, IL with the most Data Conversion Programmer job openings:
Infographic showing various Data Conversion Programmer job openings in Chicago, IL as of August 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 49% In-person, and 51% Remote job distribution, with an average salary of $60,301 per year, or $29 per hour.

Full-time

Re-posted 17 days ago


Shirley Ryan AbilityLab rating

7.1

Company rating: 7.1 out of 10

Based on 14 frontline employees who took The Breakroom Quiz


Job description

Job Summary:
Shirley Ryan AbilityLab is seeking a Data Analyst II to manage and generate datasets and reports for end-users. The role involves programming and maintaining dashboards, supporting analytics projects, and ensuring systems meet user needs.
Responsibilities:
• Manage and generate ad hoc datasets, summaries and report information for end-users using Enterprise Data Warehouse(s), vendor and reference data systems, database queries and scripts.
• Program and maintain clinical, research, and operations dashboards, standard reports, and other end-user information resources.
• Build and maintain a reporting repository to centralize organizational dashboards, performance metrics, and daily/weekly/monthly executive reporting.
• Assists with configuring analytics products and application upgrades and enhancements by collaborating with internal departments and external vendors to develop conversion plans for system changes including communication and maintenance testing.
• Supports analytics projects by assisting with identifying business requirements, determining objectives, identifying stakeholders, recommending product solutions, and establishing budgets and timelines.
• Translates business requirements into system design, ensuring systems deliver the desired capabilities to meet the needs of users.
• Configures system settings and options, plans, and executes unit integration and acceptance testing, and creates specifications for systems to meet clinical, research, and operational requirements.
• Configures and maintains analytics systems including one or more of the following: REDCap, Press Ganey, eRehab, NDNQI. Enterprise Data Warehouse, Tableau.
• Assists with development of plans, materials, and documentation for training, maintenance and support for employee education including the evaluation of training for effectiveness.
• May serve on appropriate SRAlab committees.
• Implements and supports user security measures to maintain data integrity, organizational policy, and research protocols.
• Utilizes Application Programming Interfaces (APIs) to interact with and manipulate multiple systems.
• Assist in development and implementation of project plans with timelines, milestones, defined roles and responsibilities, and communication plans.
• Provides after-hours on call service as required.
• Perform all other duties that may be assigned in the best interest of the Shirley Ryan AbilityLab.
Qualifications:
Required:
• Bachelor’s or Master's degree in Data Science, Social Science, Computer Science, Information Systems, Engineering or related field. Work experience and/or Industry Certifications can replace traditional educational requirements.
• Minimum of 4 years of related, external experience or 2 years related institutional experience at Shirley Ryan AbilityLab. Knowledge of analytics modeling, tools, and concepts (e.g. statistics, data science, machine learning, artificial intelligence, data visualization, databases, Enterprise Data Warehouses, data models and pipelines) and continues developing professional expertise.
• Experience and/or expertise in one or more of the following: Statistical & Machine Learning modeling; Data Visualization & Dissemination; Analytics Engineering & Architecture; Business Intelligence and Strategy (BI Engineer, BI Developer, BI Analyst, Data Strategist).
• Experience working within Windows operating systems, Microsoft Office tools, and Cloud Systems and/or Nix operating systems.
• Personal computer skills necessary to prepare project plans, presentations, flow charts, test plans, etc.
• Intermediate experience working within Windows operating systems, Microsoft Office tools, and Cloud Systems and/or 0Nix operating systems.
• Ability to pay close attention to details when designing, implementing, documenting and maintaining system functions.
• Interpersonal skills necessary to actively listen and communicate effectively with IS peers and user community to deliver and support systems based on user needs.
• Critical thinking and reasoning skills to identify strengths and weaknesses of alternate solutions, conclusions and approaches to problems.
• Ability to support one or more areas of SRAlab’s existing analytics system applications.
• Ability to manage small- to medium-scale systems implementation projects.
• Intermediate Experience with ANSI SQL, Python, R, SPSS, and/or Cerner Command Language (CCL).
Preferred:
• Subject matter expertise and/or experience desired in: Healthcare Operations and Business Practices, Project Management Methods; Quality/Performance Improvement Methods; Clinical Informatics; Research Analytics; Research Methods.
• Knowledge of healthcare analytics support processes in one or more area (e.g., Clinical, Research, Operations, etc.).
• Ability and willingness to learn new analytic tools, methodologies, and Information Systems to be identified as part of SRAlab’s future analytics applications toolset.
Company:
Shirley Ryan AbilityLab provides physical medicine and rehabilitation for adults and children. Founded in 1954, the company is headquartered in Chicago, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

What Shirley Ryan AbilityLab employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom