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Data Conversion Jobs in Virginia (NOW HIRING)

Deloitte

SAP BODS/Data Conversion Consultant

Richmond, VA · On-site

$66 - $86/hr

Support SAP data conversion and migration activities across the implementation lifecycle, including data collection, extraction, template preparation, mapping, transformation, validation, and defect ...

Deloitte

SAP BODS/Data Conversion Consultant

Mclean, VA · On-site

$67.50 - $88/hr

Support SAP data conversion and migration activities across the implementation lifecycle, including data collection, extraction, template preparation, mapping, transformation, validation, and defect ...

Deloitte

SAP BODS/Data Conversion Consultant

Rosslyn, VA · On-site

$76 - $99.25/hr

Support SAP data conversion and migration activities across the implementation lifecycle, including data collection, extraction, template preparation, mapping, transformation, validation, and defect ...

Deloitte

Manager, SAP Data Conversion/BODS

Mclean, VA

... data migration or conversion workstreams, including object scoping, source-to-target mapping, cleansing strategy, mock loads, cutover readiness, and reconciliation * Ability to travel up to 25%, on ...

InstantServe LLC

MMIS Systems Analyst

Richmond, VA · On-site

Strong experience in data conversion, mapping rules, validation, ETL design, and programming logic. *HIGHLY DESIRED: Mgr will give preference to people who have worked on MMIS or for Conduent ...

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All JobsData Conversion JobsData Conversion Jobs in Virginia

Data Conversion information

See Virginia salary details

$10.9K

$109.1K

$138.3K

How much do data conversion jobs pay per year?

As of Jul 5, 2026, the average yearly pay for data conversion in Virginia is $109,056.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,300.00 and $133,800.00 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.
What are the most commonly searched types of Data Conversion jobs in Virginia? The most popular types of Data Conversion jobs in Virginia are:
What are popular job titles related to Data Conversion jobs in Virginia? For Data Conversion jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Conversion jobs in Virginia look for? The top searched job categories for Data Conversion jobs in Virginia are:
Data Conversion jobs near you
Infographic showing various Data Conversion job openings in Virginia as of June 2026, with employment types broken down into 50% Full Time, 8% Part Time, 2% Temporary, and 40% Contract. Highlights an 76% In-person, and 24% Remote job distribution, with an average salary of $109,056 per year, or $52.4 per hour.

Banner Data Conversion & Migration Lead -- ERP Implementation

Data Capital Inc

Blacksburg, VA • On-site

Other

Posted 3 days ago

Job description

About the Role
Data Capital Inc. is seeking a Banner Data Conversion and Migration Lead to oversee the extraction, transformation, and loading (ETL) of 29 years of legacy Ellucian Banner data into a new cloud ERP platform at a large R1 public university in Virginia. This is a high-visibility, critical workstream role — data conversion is among the most complex components of this implementation.

What You''''ll Do

  • Lead end-to-end data conversion strategy for Banner Finance and HCM data migration to the target cloud ERP
  • Analyze Banner database schema (Oracle RDBMS) — tables, relationships, custom columns, and locally developed data structures
  • Develop and maintain data mapping documentation — source Banner fields to target ERP fields across all modules
  • Identify and remediate legacy data quality issues — duplicates, orphaned records, invalid codes accumulated since 1997
  • Manage multiple mock conversion cycles — plan, execute, validate, and track resolution
  • Support cutover planning — final conversion sequencing, blackout period, and go-live data validation

What You Need

  • 5+ years experience with Ellucian Banner data structures — Finance and HCM Oracle database schema
  • Hands-on Banner data extraction experience — SQL, PL/SQL, Banner APIs, or Banner Extensibility
  • Prior experience leading or supporting a Banner data migration or ERP conversion project
  • Strong data analysis and data quality assessment skills
  • Experience with ETL tools and data transformation methodologies
  • Strong documentation skills — data mapping specs, conversion runbooks, validation reports

Nice to Have

  • Direct experience at a Virginia public university (VT, UVA, VCU, GMU, ODU)
  • Knowledge of VT-specific Banner customizations and locally developed enhancements
  • Experience with legacy data remediation and historical data archiving strategies
  • Familiarity with Banner Document Management and imaging systems

Secondary Skills:
11. Banner APIs
12. Banner Extensibility
13. Data Quality Assessment
14. Legacy Data Remediation
15. ERP Migration
16. Data Validation
17. Higher Education ERP
18. Mock Conversion
19. Cutover Planning
20. Data Mapping Documentation

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