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Data Conversion Engineer Jobs (NOW HIRING)

Bloomerang

Conversion Engineer

The Role As a Conversion Engineer, you will manage customer data conversions, including complex data sets, while maintaining data integrity throughout the conversion to Bloomerang CRM. You'll play an ...

Grant Street Group

Data Conversion Analyst

$70K - $120K/yr

Developers will implement them, and you'll QA the results and refine the specs. You'll track down ... As a data conversion analyst, you'll be the face of Grant Street Group. You'll guide clients as ...

Grant Street Group

OR

$70K - $120K/yr

Developers will implement them, and you'll QA the results and refine the specs. You'll track down ... As a data conversion analyst, you'll be the face of Grant Street Group. You'll guide clients as ...

Grant Street Group

OR

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Harmony Healthcare IT

The Data Conversion Specialist is responsible for performing essential project-related activities ... Works closely with Data Automation Developers and ETL Business Analysts to develop, train, maintain ...

Maximus

Data Conversion Lead

VA · On-site +1

Guide, coach, and mentor entry and mid-level developers Key Responsibilities: * Lead end to end Medicaid data conversion efforts, including planning, design, development, testing, and execution

ABCS, Inc.

Mainframe Data Conversion Lead

Phoenix, AZ · Hybrid

$76/hr

Mainframe Data Conversion Lead Duration: Contract Location: Hybrid- (once a week in Office in ... Work closely with Salesforce architects and developers to ensure data is loaded efficiently using ...

CATALIS

Junior Data Migration Specialist

Edmonton, KY · On-site

The Opportunity The Data Conversion Engineer plays a pivotal role in implementing Computer-Assisted Mass Appraisal (CAMA) systems by converting legacy real and personal property assessment and ...

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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 May 30, 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 are the key skills and qualifications needed to thrive as a Data Conversion Engineer, and why are they important?

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 are Data Conversion Engineers?

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 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
What states have the most Data Conversion Engineer jobs? States with the most job openings for Data Conversion Engineer jobs include:
What job categories do people searching Data Conversion Engineer jobs look for? The top searched job categories for Data Conversion Engineer jobs are:
Data Conversion Engineer jobs near you
Conversion Developer

Conversion Developer

Avani Technology Solutions, Inc.

Denver, CO • On-site

Full-time

Posted 2 days ago

Job description

Position: Conversion Developer-- W2 only /no C2C
Location: Denver, CO
Duration: 1 year
Required Skills:
Strong SQL and database concepts; Oracle db experience preferred;
Strong SQL*Loader skills and demonstrated experience
Responsibilities:
Work with the Data Conversion lead to understand source to target mappings;
Develop SQL scripts and SQL *Loader scripts to transform and load data to target schema;
Develop data reconciliation scripts (source to target reconciliation)

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