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Data Mapping Jobs in Virginia (NOW HIRING)

CyberMedia Technologies

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 ...

Dexter Systems Inc

VRS - System Analyst 4

Richmond, VA · On-site

$85 - $90/hr

Support data mapping, data validation, reconciliation, and migration activities. * Develop testing strategies, test plans, test cases, and support User Acceptance Testing (UAT). * Collaborate with ...

New

Dexter Systems Inc

VRS - System Analyst 4

Richmond, VA · On-site

$85 - $90/hr

Support data mapping, data validation, reconciliation, and migration activities. * Develop testing strategies, test plans, test cases, and support User Acceptance Testing (UAT). * Collaborate with ...

New

Dexter Systems Inc

VRS - System Analyst 4

Richmond, VA · On-site

$85 - $90/hr

Support data mapping, data validation, reconciliation, and migration activities. * Develop testing strategies, test plans, test cases, and support User Acceptance Testing (UAT). * Collaborate with ...

New

Digital Realty

CLM Data and Governance

Ashburn, VA · On-site

Support contract data mapping, transformation logic, and migration from multiple systems into a single CLM platform * Advise on migration strategy to enable downstream integrations and reporting

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How much do data mapping jobs pay per hour?

As of Jul 16, 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 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 modeling, and basic programming 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 40 too late for data science?

Data mapping is a key skill in data science, and individuals can transition into the field at any age with relevant training, such as learning programming languages like Python or R and understanding data structures. Many professionals successfully switch careers later in life by gaining certifications and practical experience, making age less of a barrier in data science roles.

What is the salary of data mapping editor?

The salary of a data mapping editor typically ranges from $50,000 to $80,000 annually, depending on experience, location, and industry. This role often requires proficiency with data management tools and attention to detail, with some positions offering additional benefits or bonuses.

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 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 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $71,888 per year, or $34.6 per hour.

Data Engineer

CyberMedia Technologies

Mclean, VA

$115K - $139K/yr

Full-time

Medical, Retirement, PTO

Re-posted 17 days ago

Job description

CTEC is a leading technology firm that provides modernization, digital transformation, and application development services to the U.S. Federal Government. Headquartered in McLean, VA, CTEC has over 300 team members working on mission-critical systems and projects for agencies such as the Department of Homeland Security, Internal Revenue Service, and the Office of Personnel Management. The work we do effects millions of U.S. citizens daily as they interact with the systems we build. Our best-in-class commercial solutions, modified for our customers' bespoke mission requirements, are enabling this future every day.

The Company has experienced rapid growth over the past 3 years and recently received a strategic investment from Main Street Capital Corporation (NYSE: MAIN). In addition to our recent growth in Federal Civilian agencies, we are seeking to expand our capabilities in cloud development and footprint in national-security focused agencies within the Department of Defense and U.S. Intelligence Community.

We are seeking to hire a Data Engineer to our team!

Client:
CTEC develops and delivers innovative customer-centric technologies and solutions that support the Office of Personnel Management's (OPM) Health and Insurance business unit and Office of the Chief Information Officer (OCIO).

Duties and Responsibilities:

  • Data Pipeline & ETL Development: Design, develop, and maintain scalable ETL pipelines and data workflows to ingest, transform, and integrate data from legacy systems and external sources into modern cloud-based data platforms.
  • Cloud Data Platform & Databricks Implementation: Build, optimize, and maintain data processing solutions using Azure Databricks and lakehouse architectures to support analytical, operational, and reporting use cases.
  • Data Migration Support: 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 layered lakehouse data architectures (e.g., bronze, silver, gold layers) in Databricks to support data quality, performance, and downstream reporting needs.
  • Python & PySpark Development: Develop data processing notebooks, workflows, and distributed data transformations using Python and PySpark within Databricks environments.
  • Data Quality & Validation: Develop data validation, reconciliation, and testing processes to ensure data accuracy, completeness, and consistency across data domains.
  • Data Integration & Interoperability: Integrate Databricks data platforms with analytics and reporting tools to enable business intelligence and operational dashboards.
  • Data Governance & Security Implementation: Support data governance initiatives including metadata management, data catalog integration, encryption, access controls, and compliance with federal data protection requirements.
  • DevOps & CI/CD Support: Maintain source control and CI/CD pipelines for Databricks and data engineering workflows, supporting automated promotion across environments.
  • Technical Collaboration: Work closely with data architects, solution architects, business analysts, and reporting teams to implement approved data solutions.
  • Operational Support & Troubleshooting: Provide ongoing support for Databricks workflows, resolve pipeline failures, and troubleshoot complex data processing issues.
  • Mentorship & Knowledge Sharing: Provide guidance to junior data engineers and contribute to documentation and team enablement.
  • Works under minimal supervision with minor guidance from senior personnel.

Skills & Work Experience:

  • Professional Experience: 7+ years of experience in data engineering, ETL development, or large-scale data integration environments.
  • Strong experience designing and developing ETL pipelines and data transformations in Azure Databricks environments.
  • Strong proficiency in SQL and Python, with hands-on experience using PySpark for distributed data processing.
  • Experience working with cloud-based data platforms, data lakes, and lakehouse environments, preferably on Microsoft Azure.
  • Experience implementing layered lakehouse data architectures (bronze, silver, gold) for enterprise analytics.
  • Familiarity with Spark-based big data processing frameworks.
  • Experience supporting data migration from legacy databases and ETL tools to Databricks-based platforms.
  • Experience integrating Databricks platforms with business intelligence and reporting tools such as Power BI.
  • Familiarity with data governance, metadata management, and data security best practices.
  • Experience with source control and CI/CD pipelines for data engineering and Databricks workflows.
  • Working knowledge of SDLC and Agile delivery methodologies.
  • Excellent organizational, communication, and collaboration skills.

Preferred:

  • Hands-on experience with Azure Databricks workflows, Delta tables, and Databricks job orchestration.
  • Experience with Azure Data Lake, Azure Data Factory, or similar Azure data services.
  • Experience supporting federal IT modernization or large-scale enterprise data transformation initiatives.
  • Familiarity with healthcare, insurance, or benefits administration data environments.
  • Experience implementing data governance or data catalog platforms.

Education:

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical discipline. Equivalent education or professional experience will be considered in lieu of a degree.

Clearance:
Must be a U.S. citizen and be able to obtain a Public Trust clearance.

If you are looking for a fun and challenging environment with talented, motivated people to work with, CTEC is the right place for you. In addition to employee salary, we offer an array of employee benefits including:

  • Paid vacation & Sick leave

  • Health insurance coverage

  • Career training

  • Performance bonus programs

  • 401K contribution & Employer Match

  • 11 Federal Holidays