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Data Conversion Jobs (NOW HIRING)

Data Conversion Analyst Location: Hybrid Compensation: $45- $58/hr hourly contract, $95,000 - $115,000 conversion salary Employment Type: Contract-to-Hire We are seeking a Data Conversion Analyst to ...

The Data Conversion Analyst is responsible for preparing, transforming, validating, and loading data from legacy systems into IFS Cloud ERP. This role is critical to ensuring data integrity and ...

Data Conversion Analyst

Oceanside, CA · On-site

$109K - $132K/yr

The Data Conversion Analyst is responsible for preparing, transforming, validating, and loading data from legacy systems into IFS Cloud ERP. This role is critical to ensuring data integrity and ...

Data Conversion Developer **Job Title: Data Conversion Developer** **Terms: 1+ Year Contract** **Work Schedule: 100% onsite - Olympia, WA (local only)** ** Skills:** - 5+ years experience with SQL ...

As a Workday Data Conversion Lead in Definian's Workday practice, you will serve as a subject matter expert and lead on end-to-end data migration activities across Workday implementations. This role ...

Data Conversion Analyst

Oceanside, CA · On-site

$109K - $132K/yr

The Data Conversion Analyst is responsible for preparing, transforming, validating, and loading data from legacy systems into IFS Cloud ERP. This role is critical to ensuring data integrity and ...

OmegaHires is seeking a Data Conversion Developer for a 1+ year contract position. The role focuses on data conversion and migration processes, requiring strong analytical skills and experience with ...

Data Conversion Developer Terms: 1+ Year Contract Work schedule details: 100% onsite Olympia, WA (local only) Required Skills: 5+ years of experience with SQL and Azure SQL. 5+ years of hands-on ...

As a Workday Data Conversion Lead in Definian's Workday practice, you will serve as a subject matter expert and lead on end-to-end data migration activities across Workday implementations. This role ...

As a Workday Data Conversion Lead in Definian's Workday practice, you will serve as a subject matter expert and lead on end-to-end data migration activities across Workday implementations. This role ...

The Data Conversion Specialist is responsible for performing essential project-related activities as assigned. This position provides input to conversion solution planning, interacts with customer ...

Lead and manage end-to-end data conversion of healthcare payer data between platforms (e.g., legacy system to HealthRules Payer / GuidingCare). * Serve as subject matter expert for payer data domains ...

Lead and manage end-to-end data conversion of healthcare payer data between platforms (e.g., legacy system to HealthRules Payer / GuidingCare). * Serve as subject matter expert for payer data domains ...

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Data Conversion information

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How much do data conversion jobs pay per year?

As of Jul 5, 2026, the average yearly pay for data conversion 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 the data conversion role?

A data conversion role involves transforming data from one format or system to another to ensure compatibility, accuracy, and usability. It often requires knowledge of data management tools, scripting, and attention to detail to prevent data loss or errors during the process.

What data jobs pay the most?

Data-related roles such as Data Scientist, Data Engineer, and Machine Learning Engineer tend to have the highest salaries in the data field, often exceeding six figures annually. These positions typically require strong technical skills, experience with programming languages like Python or SQL, and advanced education or certifications. Salary levels can vary based on industry, location, and experience.

What are the key skills and qualifications needed to thrive in the Data Conversion position, and why are they important?

To thrive in a Data Conversion role, you need strong attention to detail, data analysis skills, and experience with database management or programming, often supported by a relevant degree or certifications in IT or computer science. Familiarity with data manipulation tools such as SQL, ETL software, and various file formats is typically required. Strong problem-solving abilities, effective communication, and adaptability are valuable soft skills for this position. These skills help ensure accurate and efficient transformation of data between systems, which is critical for smooth business operations and data integrity.

Do data entry jobs really pay?

Data entry jobs typically pay hourly wages that can range from minimum wage to higher rates depending on experience, complexity of tasks, and employer. Pay rates vary widely, with some positions offering part-time or freelance opportunities, and skills in software like Excel or data management tools can influence earning potential.

What are some common challenges faced in a Data Conversion role, and how are they typically addressed?

One of the most common challenges in Data Conversion is managing data inconsistencies and ensuring data quality during large-scale migrations or system upgrades. Professionals in this field often work closely with IT teams, business analysts, and end-users to identify and resolve data discrepancies or mapping issues. Effective troubleshooting, thorough testing, and clear documentation are standard practices to address these challenges. Communication skills and a proactive approach greatly help in anticipating issues and minimizing downtime during critical data transitions.

What is a Data Conversion job?

A Data Conversion job involves transforming data from one format, structure, or system to another while ensuring accuracy and consistency. This process is common when migrating data between software systems, upgrading databases, or integrating new technologies. Professionals in this role use specialized tools and scripts to clean, map, and validate data. Their goal is to prevent data loss, maintain data integrity, and ensure seamless usability in the new system.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst, as the role values skills in data analysis, programming, and tools like Excel, SQL, and Python. Many professionals transition into data analysis later in their careers by gaining relevant certifications and experience, regardless of age.
More about Data Conversion jobs
What cities are hiring for Data Conversion jobs? Cities with the most Data Conversion job openings:
What are the most commonly searched types of Data Conversion jobs? The most popular types of Data Conversion jobs are:
What states have the most Data Conversion jobs? States with the most job openings for Data Conversion jobs include:
Infographic showing various Data Conversion job openings in the United States as of June 2026, with employment types broken down into 43% Full Time, 10% Part Time, 3% Temporary, and 44% Contract. Highlights an 77% In-person, and 23% Remote job distribution, with an average salary of $110,000 per year, or $52.9 per hour.
Data Conversion Analyst

Data Conversion Analyst

Phoenix Staff

Phoenix, AZ

$45 - $58/hr

Full-time, Contractor

Posted 3 days ago


Job description

Data Conversion Analyst

Location: Hybrid

Compensation: $45- $58/hr hourly contract, $95,000 - $115,000 conversion salary

Employment Type: Contract-to-Hire


We are seeking a Data Conversion Analyst to support large-scale data migration and modernization initiatives. This role is focused on understanding, analyzing, cleansing, mapping, validating, and reconciling data as it moves from legacy systems into modern platforms.

The ideal candidate has hands-on experience with complex data conversion projects and understands that successful migrations are iterative. They know how to identify data quality issues, determine appropriate cleansing strategies, develop mapping rules, validate conversion results, and collaborate with both business and technical teams to ensure data accuracy.


Responsibilities

  • Analyze source system data to identify anomalies, inconsistencies, and data quality issues.
  • Develop and maintain detailed source-to-target and target-to-source mappings.
  • Identify data gaps and determine appropriate remediation strategies.
  • Support data cleansing, transformation, and validation activities throughout the conversion lifecycle.
  • Perform reconciliation between legacy and target systems to ensure data accuracy and completeness.
  • Collaborate with Business Analysts, SMEs, architects, and developers to define transformation rules and business logic.
  • Document mapping decisions, transformation rules, validation results, and conversion processes.
  • Participate in multiple conversion cycles and support continuous refinement of conversion results.
  • Validate migrated data and support business sign-off activities.

Required Qualifications

  • 3+ years of experience supporting data migration, conversion, integration, or data quality initiatives.
  • Experience developing source-to-target and target-to-source data mappings.
  • Strong SQL Server experience (required).
  • Strong understanding of relational database concepts, normalization, and database structures.
  • Experience identifying and resolving data quality issues and "dirty data."
  • Experience performing reconciliation and validation activities during migrations.
  • Excellent documentation skills.
  • Strong communication skills and ability to work with both business and technical stakeholders.


Preferred Qualifications

  • Experience supporting large enterprise data conversion projects.
  • Experience with Microsoft data technologies including Azure SQL, Azure Data Lake, or Microsoft Fabric.
  • Experience working with data governance, lineage, and auditability requirements.


What We're Looking For

Successful candidates should be able to clearly explain:

  • How they approach dirty data and data quality issues.
  • How they determine where and how data should be cleansed.
  • How they perform reconciliation between old and new systems.
  • Their experience creating and validating data mappings.
  • The specific role they played in prior conversion projects.
  • The size and complexity of conversion efforts they have supported.