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Data Mapping Jobs in Washington (NOW HIRING)

Mondo

SQL Data Engineer

Centreville, VA · Remote

$125K - $140K/yr

Perform ETL activities, data mapping, and data quality validation. * Analyze and reconstruct missing or corrupted data when necessary. * Collaborate with Product, QA, DevOps, and Engineering teams to ...

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 ...

Nüvitek

Data Architect

Arlington, VA

$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 ...

Acumen Solutions

Data Analyst

Mclean, VA · On-site

Collect, profile, collate, and map appropriate data for usage in new or existing solutions as well as for ongoing data analysis activities * Interpret Customers functional and information needs and ...

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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 Washington is $38.16, according to ZipRecruiter salary data. Most workers in this role earn between $22.45 and $51.62 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 popular job titles related to Data Mapping jobs in Washington? For Data Mapping jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Data Mapping jobs in Washington look for? The top searched job categories for Data Mapping jobs in Washington are:
What cities in Washington are hiring for Data Mapping jobs? Cities in Washington with the most Data Mapping job openings:
Data Mapping jobs near you
Zero Trust Data Engineer - Sr. (5426) (TS/SCI) (Ft. Belvoir, VA )

Zero Trust Data Engineer - Sr. (5426) (TS/SCI) (Ft. Belvoir, VA )

SMX

Fort Belvoir, VA • On-site

$119K - $162K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

SMX is seeking a Senior Zero Trust Data Engineer to join a team of highly driven, supportive, and skilled professionals engaged in supporting clients across INSCOM programs. For this role, SMX is seeking a skilled professional to develop and manage distributed, parallel data processing pipelines that support Zero Trust (ZT) principles. This role involves end-to-end responsibility for critical data workflows, including establishing data connections, parsing and normalizing data, mapping and modeling structures, enriching datasets, and integrating with advanced data analytics platforms. The ideal candidate will have a strong background in scalable data engineering and a keen understanding of secure, reliable information handling in complex environments.

This is a full-time onsite position in Ft. Belvoir, VA.

Essential Duties & Responsibilities

  • Develop and manage distributed parallel data processing pipelines, which include but is not limited to processes such as establishing data connections, data parsing, data normalization, data mapping and modeling, data enrichment, and integration with data analytics, supporting ZT principles.
  • Operate and maintain the data processing pipelines in accordance with the availability requirements of the platform. Handle all stages, including data connections, parsing, normalization, mapping, modeling, enrichment, and integration with analytics platforms.
  • Collaborate cross-functionally with software engineers, data scientists, intel analysts, and customers to ensure data processing pipelines meet military requirements.
  • Communicate clearly and effectively with teammates, customers, and external partners.
  • Prepare written and verbal communications on analyses, findings, and project progress.
  • Update technical documentation such as system design documentation (SDD); standard operating procedures (SOPs); and tactics, techniques, and procedures (TTPs); and training material.
  • Collaborate with functional area Data Stewards and other ZT Pillars to explore data flow mapping tools.
  • Identify automated data tagging/labeling solutions and assist with market research to evaluate their capabilities, scalability, and alignment with organizational requirements.
  • Coordinate with Data Governance CME and Automation Pillar Lead, test integration of data and attribute-based access into Policy Decision Points (PDP) and Policy Enforcement Points (PEP).

Required Skills, Experience & Education

  • Active Top Secret (TS) security clearance with eligibility for SCI and NATO read-on before starting work.
  • Security+ certification
  • Master's degree in a discipline covered under Science, Technology, Engineering or Mathematics (STEM) with 8 years' experience as a data engineer OR a bachelor's degree in a discipline covered under Science, Technology, Engineering or Mathematics (STEM) with 10 years' experience as a data engineer.
  • 8+ years' experience in cybersecurity, systems engineering, or information technology, with significant project delivery for large, complex organizations.
  • 8 years' experience with distributed parallel streaming and batch data processing pipelines.
  • 8 years' experience with Python, Java, or other programming languages.
  • 8 years' experience applying agile methodologies to the data engineering part of a system development life cycle (SDLC).
  • 8 years' experience with developing, operating, and maintaining data processing pipelines in a classified environment.
  • 8 years' experience integrating with data SDKs / APIs and data analytics SDKs / APIs.
  • 8 years' experience with data mapping, modeling, enriching, and correlating classified data.
  • 8 years' experience with the identification and duplication of data sources and record types to meet military requirements.
  • 8 years' experience with Git repositories and CI/CD pipelines. Examples include but are not limited to GitHub and GitLab.
  • Meet all requirements to receive a privileged user (PU) account on a government information system prior to starting work. The requirements are currently defined in DoDD 8140.01.

Desired Skills/Experience

  • Experience integrating with Army Intel information systems and record types
  • Certified Information Systems Security Professional (CISSP)
  • Certified Information Security Manager (CISM)
  • Certified Data Management Professional (CDMP)
  • AWS Certified Security - Specialty or equivalent cloud certifications

Application Deadline: July 13, 2026

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