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Data Mapping Jobs in Virginia (NOW HIRING)

Sr. Data Engineer

Falls Church, VA

$113K - $153K/yr

Apply data mapping, mining and transformation techniques to the analysis of existing and future data architectures * Modeling, simulation and test of databases, data repositories and data transfer ...

Sr. Data Engineer

Warrenton, VA

$106K - $144K/yr

Apply data mapping, mining and transformation techniques to the analysis of existing and future data architectures * Modeling, simulation and test of databases, data repositories and data transfer ...

Should have experience in publishing data from semi structured data like Jason * Experienced in ETL concepts and tools such as Informatica PowerCenter| SQL| Data Mapping| XML| Web Services.

Data Engineer

Mclean, VA

$115K - $139K/yr

Support phased data migration from legacy databases and ETL tools to Azure Databricks environments, including transformation documentation and data mapping. * Lakehouse & Data Layer Design: Implement ...

Develop and enforce data validation rules, field-mapping schemas, and sync logic to prevent duplication and maintain database integrity at scale. Troubleshoot Integration Issues * Monitor, analyze ...

New

Additionally, they will provide support in the areas of data extraction, transformation and load (ETL), data mapping, analytics, operations, databases, and maintenance of data and associated systems.

Develop and maintain scalable database schemas, data models, and data warehouse structures; perform data mapping, schema evolution, and integration between source systems, staging areas, and data ...

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Data Mapping information

See Virginia salary details

$8

$34

$70

How much do data mapping jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for data mapping in Virginia is $34.56, according to ZipRecruiter salary data. Most workers in this role earn between $20.34 and $46.76 per hour, depending on experience, location, and employer.

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

To excel in Data Mapping, you need a solid understanding of data structures, database management, and data migration methodologies, often backed by a degree in computer science or information systems. Familiarity with ETL tools, data mapping software (such as Informatica or Talend), and relevant certifications like CDMP are highly valuable. Strong analytical thinking, attention to detail, and effective communication skills set top performers apart. These competencies are vital to ensure accurate, efficient mapping of complex data between systems, minimizing errors and supporting organizational data initiatives.

What is the highest salary for mapping process?

The highest salaries for data mapping roles can reach over $100,000 annually, especially for experienced professionals working in specialized industries or with advanced skills in data integration tools. Senior data analysts or data engineers with expertise in mapping processes and certifications may earn higher compensation, often supplemented by bonuses or benefits.

What does a Data Mapping job involve?

A Data Mapping job involves identifying, organizing, and transforming data from one format or system to another while ensuring accuracy and consistency. Professionals in this role analyze data structures, create mapping documentation, and work closely with developers and analysts to support data integration, migration, or transformation projects. Strong attention to detail and knowledge of data formats, databases, and ETL (Extract, Transform, Load) processes are essential.

What skills are needed for data mapping?

Data mapping requires strong analytical skills to understand data structures and relationships, attention to detail to ensure accuracy, and proficiency with data management tools such as Excel, SQL, or specialized mapping software. Knowledge of data standards, data quality principles, and basic programming skills can also enhance effectiveness in this role.

What are data mapping jobs?

Data mapping jobs involve creating connections between different data formats, systems, or databases to ensure accurate data transfer and integration. These roles typically require knowledge of data structures, data management tools, and sometimes scripting or programming skills to develop and maintain data transformation processes.

Is data analyst a high paying job?

Data analyst roles are generally considered to offer competitive salaries, especially with experience, technical skills in tools like Excel, SQL, and data visualization software, and relevant certifications. Salaries vary by industry and location but tend to be higher than average entry-level positions in many regions.

What are the typical responsibilities of a Data Mapping professional on a project team?

As a Data Mapping professional, you'll be responsible for analyzing data sources, defining relationships between different datasets, and documenting data flows as information is migrated or integrated between systems. You commonly work closely with business analysts, database administrators, and software developers to ensure mapping accuracy and to troubleshoot any discrepancies that arise. The role involves a mix of technical analysis, requirements gathering, and frequent collaboration to align data mapping with project objectives. You'll be expected to maintain detailed mapping documentation and adapt to evolving data structures, which is crucial for supporting clean data integrations and successful system implementations.

What are the most commonly searched types of Data Mapping jobs in Virginia? The most popular types of Data Mapping jobs in Virginia are:
What cities in Virginia are hiring for Data Mapping jobs? Cities in Virginia with the most Data Mapping job openings:

$113K - $153K/yr

Other

Posted 9 days ago


Job description

Our client is recruiting senior engineering and support staff supporting the Office of the Undersecretary of Defense - Intelligence & Security Branch (OUSD/I&S). We are currentlyseeking aSr. Data Engineerwho will interface with functional and technical experts. Successful candidates will support the modernization, alignment, and integration of Combatant Command (CCMD) intelligence capabilities with an emphasis on the Mission Partner Environment (MPE). Position is located in Fairfax, VA. Duties will include but are not limited to:

  • The Sr. Data Engineer will integrate with cross-functional teams specializing in architecture development, solutions analysis, intelligence functional expertise, and Defense Acquisition processes informing the development and implementation of Information Technology (IT) business processes, programs, plans and guidance for Defense Intelligence warfighting support to the CCMDs and the integration with MPE
  • Analyze data frameworks and processes to develop system requirements for their modernization
  • Produce clear, logical, and concise DoD-level products to inform stakeholder decisions.
  • Recommend optimal solutions for data storage and data transfer
  • Apply data mapping, mining and transformation techniques to the analysis of existing and future data architectures
  • Modeling, simulation and test of databases, data repositories and data transfer architectures

Qualifications Required (Skills)

  • Bachelor's degree in an engineering, scientific or technical discipline and 10 years relevant experience
  • Experience employing analytical methods or platforms to communicate predictions, findings, or risks through effective data visualizations and reports
  • Strong written and oral presentation skills
  • AN ACTIVE DOD TS/SCI CLEARANCE IS REQUIRED FOR THIS POSITION FOR WHICH YOU MUST BE A U.S. CITIZEN

Qualifications Desired

Master's Degree in an engineering, scientific or a technical discipline and 7 years relevant experience; Ph.D. in an engineering, scientific or a technical discipline and 4 years relevant experience
  • Understanding of coalition intelligence and data sharing programs, techniques and methodologies
  • Experience with multiple Intelligence Community organizations and data sharing security protocols
  • Previous exposure to or experience with some or all the relevant capabilities, functions, missions, and processes of the CCMDs, or CCMD Joint Intelligence Operations Centers and coalition interoperability
  • Enterprise Architecture experience modeling in DoDAF
  • Experience with Cameo MagicDraw or similar products