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Data Mapping Jobs in Virginia (NOW HIRING)

GDIT

Data Scientist - TS/SCI w/Poly

Mclean, VA

$212K - $287K/yr

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.

Dexian DISYS

Data Analyst - Sr

Mclean, VA · On-site

$88K - $111K/yr

Snowflake experience * data mapping Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals.

Dexian

Data Analyst - Sr

Mclean, VA · On-site

$86K - $109K/yr

Snowflake experience * data mapping Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals.

Akima, LLC

Modeling/Mapping Specialist

Springfield, VA · On-site

$150K/yr

Perform data migration, loading, and mapping into the EA Repository/Ins-Pi (YouDesign), including reconciliation across systems to support decision-making and gap identification. * Support Ins-Pi ...

NAVA Software Solutions

Data Scientist

Merrifield, VA · On-site

Familiar with the concepts and application of data mapping and building requirements * Demonstrates a deep understanding of multiple data related concepts * Familiar with Data Integration, Data ...

Cornerstone Defense

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

KEY RESPONSIBILITIES • Design and develop scalable backend services and data ingestion solutions. • Perform data modeling, data mapping, and large-scale file manipulation. • Collaborate across ...

DataSync Inc.

Data Warehouse Architect

Richmond, VA · On-site

... Mapping and Data Governance Preferred Skills • Python - 5+ years • Google BigQuery - 2+ years • Google Cloud Platform (Google Cloud Platform) Infrastructure - 2+ years • Healthcare Data ...

Nüvitek

Data Architect

Arlington, VA · On-site

$145K - $165K/yr

Manage source-to-target data mapping between different data models. * Assist in planning, designing, and managing data migration processes between cloud environments. * Work closely with the project ...

Cognicion

Data Privacy Consultant

Richmond, VA · On-site

Will also consider experience in areas such as information governance, data mapping, cybersecurity, and any other related field. * CIPP certification preferred. TECHNICAL SKILLS AND EXPERIENCE

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All JobsData Mapping JobsData Mapping Jobs in Virginia

Data Mapping information

See Virginia salary details

$8

$34

$70

How much do data mapping jobs pay per hour?

As of Aug 4, 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 for data mapping?

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 does a data mapping professional do?

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 are the most commonly searched types of Data Mapping jobs in Virginia? The most popular types of Data Mapping jobs in Virginia are:
What are popular job titles related to Data Mapping jobs in Virginia? For Data Mapping jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Mapping jobs in Virginia look for? The top searched job categories for 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:
Data Mapping jobs near you
Infographic showing various Data Mapping job openings in Virginia as of July 2026, with employment types broken down into 74% Full Time, and 26% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $71,888 per year, or $34.6 per hour.

Senior Mortgage Data Analyst Data Transformation

Netsynk

Mclean, VA • On-site

$88K - $111K/yr

Other

Posted 18 days ago

Job description

Job Title: Senior Mortgage Data Analyst – Data Transformation
Location: McLean, VA
Work Mode: In Office
Experience Required: 10+ Years
Employment Type: Contract

Role Overview

We are seeking an experienced Senior Mortgage Data Analyst – Data Transformation to support a large-scale enterprise data transformation initiative within the financial services industry. This role serves as the bridge between business stakeholders and technical teams, ensuring business requirements are translated into scalable, cloud-based data solutions.

The ideal candidate will have strong expertise in business analysis, data lineage, data mapping, cloud data platforms, and enterprise data transformation, along with excellent stakeholder management and communication skills.

Key Responsibilities
  • Perform data lineage analysis, data profiling, and data mapping across enterprise applications and data platforms.
  • Analyze legacy data assets and map them to modern cloud-based target architectures.
  • Gather, analyze, and document business, functional, and technical requirements for enterprise data transformation initiatives.
  • Create user stories, business process flows, functional specifications, and acceptance criteria for development teams.
  • Collaborate with business stakeholders, architects, data engineers, and product owners to define scalable data solutions.
  • Evaluate event-driven and entity-based data models while identifying transformation opportunities and data gaps.
  • Support cloud-based data ingestion and integration initiatives.
  • Coordinate User Acceptance Testing (UAT), Quality Assurance (QA), and validation activities.
  • Ensure project deliverables meet business objectives, quality standards, and delivery timelines.
  • Facilitate stakeholder meetings, manage expectations, and communicate project progress effectively.
  • Utilize AI-powered productivity tools such as Microsoft Copilot, ChatGPT, and Claude to improve documentation, analysis, and delivery efficiency.
  • Support enterprise data governance initiatives and ensure adherence to organizational data standards.
Required Qualifications
  • Bachelor''''s degree in Computer Science, Information Systems, Business, Data Analytics, Finance, or a related field.
  • 7+ years of experience in Business Analysis supporting enterprise data, analytics, or technology transformation initiatives.
  • Proven expertise in:
    • Data Lineage
    • Data Profiling
    • Data Mapping
    • Business Process Analysis
  • Strong experience gathering and documenting:
    • Business Requirements
    • Functional Requirements
    • Technical Requirements
  • Experience working with cloud-based data platforms and modern data ingestion architectures.
  • Knowledge of enterprise data architecture, data governance, and data integration concepts.
  • Strong analytical, problem-solving, and stakeholder management skills.
  • Excellent written and verbal communication skills.
  • Experience working in Agile environments.
Preferred Qualifications
  • Experience within the secondary mortgage or financial services industry.
  • Hands-on experience with cloud data platforms such as:
    • Snowflake
    • Databricks
    • AWS
    • Azure
    • Google Cloud Platform (Google Cloud Platform)
  • Experience supporting enterprise data modernization and legacy system transformation projects.
  • Experience with Agile tools such as Azure DevOps and Jira.
  • Familiarity with AI-assisted productivity tools including Microsoft Copilot, ChatGPT, and Claude.
  • Professional certifications such as:
    • CBAP
    • PMI-PBA
    • Scrum Master
    • Agile Certifications

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