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Data Conversion Engineer Jobs (NOW HIRING)

Informatica Developer

Addison, TX

$51.50 - $67.75/hr

... few) Conversion Developer/ETL - Any Telecom Experience - Informatica ETL development experience - Good understanding of Telecom BSS/OSS data - Experience with large scale data conversion ...

Use SQL and other programming languages to map source data, define transformation logic, and support conversion programming. * Verify conversion output against client source data, documented ...

Use SQL and other programming languages to map source data, define transformation logic, and support conversion programming. * Verify conversion output against client source data, documented ...

Use SQL and other programming languages to map source data, define transformation logic, and support conversion programming. * Verify conversion output against client source data, documented ...

Software Engineer II

Denver, CO · Hybrid

$100K - $137K/yr

You will work with a fast-paced, skilled team of developers, product owners, data conversion engineers, and quality assurance engineers across a portfolio of data conversion tools, with development ...

Experience in a Data Conversion work stream on a software implementation * Preferable - Experience ... Experience with AI products, prompt engineering and agent development Posting End Date: 09/28/2026 ...

Experience in a Data Conversion work stream on a software implementation * Preferable - Experience ... Experience with AI products, prompt engineering and agent development Posting End Date: 09/28/2026 ...

Showing results 41-60

Data Conversion Engineer information

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$44.5K

$129.7K

$177.5K

How much do data conversion engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data conversion engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a data conversion engineer?

Data Conversion Engineers are professionals who specialize in transferring data from one format, system, or storage type to another. They play a critical role during system upgrades, migrations, or consolidations by ensuring that data is accurately and efficiently converted without loss or corruption. Their responsibilities often include analyzing existing data structures, mapping data fields, developing conversion scripts or tools, testing the converted data, and troubleshooting issues that arise during the process. Data Conversion Engineers typically work closely with database administrators, software developers, and project managers to ensure seamless transitions between systems.

What are the key skills and qualifications needed to thrive as a data conversion engineer?

To thrive as a Data Conversion Engineer, you need expertise in data mapping, ETL (Extract, Transform, Load) processes, and a solid understanding of database structures, typically supported by a degree in computer science or a related field. Familiarity with tools like SQL, Python, Talend, Informatica, or SSIS, as well as knowledge of data migration methodologies, is essential. Strong problem-solving skills, attention to detail, and clear communication are crucial soft skills for identifying conversion issues and collaborating with stakeholders. These skills ensure accurate, efficient data migration and integration, minimizing errors and ensuring business continuity.

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

Data Conversion Engineers often encounter challenges such as handling inconsistent source data, managing tight project deadlines, and ensuring minimal data loss or corruption during migration. Collaborating closely with database administrators, business analysts, and end users is critical to clarify data requirements and resolve ambiguities in legacy systems. Robust testing and validation processes are essential to guarantee data accuracy and integrity throughout the conversion, making attention to detail and strong communication skills valuable assets in this role.

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

AspectData Conversion EngineerData Analyst
Primary FocusConverting and transforming data between formats and systemsAnalyzing data to generate insights and reports
Skills & CertificationsSQL, ETL tools, scripting languages, data modelingExcel, SQL, data visualization, statistical analysis
Work EnvironmentData warehouses, ETL pipelines, database systemsBusiness intelligence platforms, dashboards, reporting tools
Industry UsageIT, software development, data managementMarketing, finance, healthcare, business analysis

While both roles handle data, Data Conversion Engineers focus on transforming data formats and ensuring seamless data flow between systems. Data Analysts interpret data to support decision-making. Understanding these differences helps in choosing the right career path or job search focus.

More about Data Conversion Engineer jobs

Who are the top companies hiring for Data Conversion Engineer jobs?

The top employers for Data Conversion Engineer jobs are:

What states have the most Data Conversion Engineer jobs?

States with the most job openings for Data Conversion Engineer jobs include:

Infographic showing various Data Conversion Engineer job openings in the United States as of August 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 75% In-person, 5% Hybrid, and 20% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Conversion Specialist

Designeers Midwest

Overland Park, KS • On-site

Full-time

Re-posted 11 days ago


Job description

Job Description

Essential Responsibilities In this role, you will: 

 Perform data gathering activities to consolidate and evaluate the availability of required attributes from identified sources 

 Transform data collected from these sources into a standardized format for loading into a relational database model 

 Perform quality assurance reviews on the digitized data 

 Clearly articulate and report daily progress on assigned work 

 Use software tools to analyze data with the ability to apply critical thinking 

 Demonstrate adherence to program and project processes incorporating industry best practices, checklists, peer reviews and lessons learned 

 Proficiency in MS Office applications 



Qualifications

Qualifications / Requirements For this role: 

 Bachelor's Degree in Programming / Information Systems or in a STEM major (Science, Technology, Engineering, or Math) or equivalent work experience 

 Excellent communication skills and the ability to interface with program and business leadership with confidence and clarity 

 Minimum 3

 5 years of data digitization from hard-copy artifacts

Desired Characteristics For this role, I am also seeking: 

 High energy, results driven person with strong interpersonal skills 

 Experience working with cross functional teams in a global environment 

 Experience in the Oil&Gas, Pipeline or other utility 

 Knowledge of linear referencing or topological data modeling concepts 

 Basic GIS knowledge on the ESRI platform 

 Ability to correlate relational data in using standard relational data modeling techniques

Additional Information

All your information will be kept confidential according to EEO guidelines.