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Data Conversion Developer Jobs (NOW HIRING)

$80 - $100/hr

The Data Conversion Engineer is responsible for converting online banking data for new clients into the Lumin Digital platform, along with performing select technical configurations of the Lumin ...

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$139.5K

How much do data conversion developer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data conversion developer in the United States is $110,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,000.00 and $135,000.00 per year, depending on experience, location, and employer.

What is a data conversion developer?

Data Conversion Developers are IT professionals who specialize in transferring, transforming, and integrating data between different systems or formats. They write scripts and use specialized tools to extract data from legacy systems, clean and reformat it, and load it into new platforms. Their work ensures that data remains accurate, secure, and usable throughout the migration process. Data Conversion Developers often collaborate with business analysts, database administrators, and project managers to ensure successful data transitions during system upgrades or replacements.

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

To thrive as a Data Conversion Developer, you need strong programming skills (such as SQL, Python, or ETL tools), data analysis abilities, and experience with database management, often supported by a degree in computer science or information systems. Familiarity with data migration tools, scripting languages, and systems like Oracle, SAP, or Informatica is typically required. Attention to detail, problem-solving, and effective communication are valuable soft skills for collaborating with teams and clients. These competencies are crucial to ensure accurate data transformation, minimize system downtime, and achieve seamless integration during migration projects.

What are some common challenges faced by data conversion developers during large-scale system migrations?

Data Conversion Developers often encounter challenges such as handling data inconsistencies, mapping legacy data structures to new systems, and ensuring minimal data loss or corruption during migration. They must collaborate closely with business analysts and database administrators to clarify requirements and validate data accuracy. Additionally, managing tight project timelines while performing thorough testing and validation can be demanding, but these tasks are critical to a successful migration.

What is the difference between Data Conversion Developer vs Data Integration Specialist?

AspectData Conversion DeveloperData Integration Specialist
CredentialsTypically requires programming skills, database knowledge, and certifications like Microsoft Certified Data AnalystRequires similar skills, often with certifications in data management or ETL tools
Work EnvironmentWorks mainly in software development, focusing on converting data formats and structuresWorks in data pipelines, integrating data from multiple sources into systems
Industry UsageCommon in software development, data migration projects, and database managementUsed in business intelligence, data warehousing, and enterprise data management

While both roles involve working with data, Data Conversion Developers focus on transforming data formats and structures, whereas Data Integration Specialists concentrate on combining data from various sources into unified systems. Both roles require technical skills and are vital in data management projects, but their primary focus areas differ.

More about Data Conversion Developer jobs

What are the most commonly searched types of Data Conversion Developer jobs?

The most popular types of Data Conversion Developer jobs are:

What are popular job titles related to Data Conversion Developer jobs?

For Data Conversion Developer jobs, the most frequently searched job titles are:

Infographic showing various Data Conversion Developer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $110,000 per year, or $52.9 per hour.

Data Conversion Developer

Washington, DC • On-site

Accenture Federal Services
IT Services • 10K+ employees

Full-time

Re-posted 16 days ago


Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

51st of 500 rated business services


Job description

You Are: Data Conversion Developer

The Work:

As a Data Conversion Developer, you will design and implement robust data migration solutions within Oracle Cloud environments. Your work includes analyzing legacy data sources, mapping data fields, developing scripts and tools for accurate data transfers, and validating migrated information. You will collaborate with business analysts and technical teams to understand data requirements, troubleshoot conversion issues, and optimize conversion processes to minimize downtime and ensure compliance with organizational standards. Success in this role requires adaptability, strong analytical capability, and experience supporting largescale, complex data transformation initiatives.

Key Responsibilities:

  • Design, develop, and implement data conversion solutions for Oracle Cloud projects.
  • Analyze legacy data sources and map fields to Oracle Cloud applications.
  • Develop and execute ETL (extraction, transformation, loading) processes.
  • Troubleshoot and resolve data conversion issues to ensure integrity and accuracy.
  • Create and maintain detailed technical documentation for conversion processes.
  • Prepare test data and validate conversions during testing phases.
  • Provide postimplementation support for data conversion activities.
  • Collaborate with crossfunctional teams to refine requirements and ensure successful migration outcomes.

 Here's What You Need:

  • Handson experience with Oracle Cloud environments.
  • Strong understanding of ETL concepts, tools, and techniques.
  • Familiarity with data profiling tools, scripting languages, and data validation methods.
  • Experience performing complex data mapping and reconciliation across systems.
  • Background supporting largescale data conversion initiatives.
  • Ability to work in crossfunctional teams and adapt to evolving project demands.

 Bonus Points If:

  • You have advanced proficiency in:
    Oracle Cloud
    Oracle Customer Experience (CX) Cloud Data Conversion & Management
    Data Conversions
  • You have experience with automated conversion frameworks or validation utilities.
  • You have supported multiphase or multisystem migration programs.

 Eligibility Requirements:

  • U.S. Person

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