1

Data Translation Jobs in Virginia (NOW HIRING)

Translation of UI/UX wireframes to visual elements * Integration of the front-end and back-end ... Data migration, transformation, and scripting * Management of hosting environment, including ...

Data Translation: Transform raw data into compelling narratives and visual dashboards that drive executive decision-making. * Value Communication: Partner with cross-functional teams to scale product ...

Data Translation: Transform raw data into compelling narratives and visual dashboards that drive executive decision-making. * Value Communication: Partner with cross-functional teams to scale product ...

Data Translation: Transform raw data into compelling narratives and visual dashboards that drive executive decision-making. * Value Communication: Partner with cross-functional teams to scale product ...

... translation, time sequenced data, and advanced metrics. You will be part of teams performing Test and Evaluation (T&E) of AI and machine learning models and algorithms to give national security ...

Senior Data Engineer

Chantilly, VA

$109K - $148K/yr

Experience with language translation models * Experience using Kubernetes This position is open for ... Experience with financial data * Experience with language translation models * Experience using ...

Senior Data Engineer

Herndon, VA · On-site

$109K - $148K/yr

Experience with language translation models * Experience using Kubernetes This position is open for ... Experience with financial data * Experience with language translation models * Experience using ...

Strategic Revenue Manager

Centreville, VA · On-site

$101K - $214K/yr

Data Translation: Transform raw data into compelling narratives and visual dashboards that drive executive decision-making. * Value Communication: Partner with cross-functional teams to scale product ...

Senior Data Engineer

Chantilly, VA · On-site

$109K - $148K/yr

Overview VTG is seeking a talented and experienced Senior Data Engineer to serve as an integrator ... Experience with language translation models * Experience using Kubernetes This position is open for ...

Produce written documentation and artifacts for all work completed, including the translation of ... Engineer data analytic solutions, including prototyping, proof of concept, and full implementation.

next page

Showing results 1-20

Data Translation information

See Virginia salary details

$9

$29

$73

How much do data translation jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for data translation in Virginia is $29.81, according to ZipRecruiter salary data. Most workers in this role earn between $15.66 and $34.37 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Translator, and why are they important?

To thrive as a Data Translator, you need a solid understanding of data analytics, business operations, and domain expertise, often supported by a relevant degree in business, analytics, or technology. Familiarity with data visualization tools (like Tableau or Power BI), basic statistical software, and experience bridging data teams with business stakeholders are typical requirements. Exceptional communication, problem-solving ability, and stakeholder management skills set top performers apart in this role. These skills and qualities are crucial for transforming complex data insights into actionable business strategies that drive organizational value.

What is the difference between Data Translation vs Data Analyst?

AspectData TranslationData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsOften requires a degree in statistics, mathematics, or related disciplines
Work EnvironmentTechnical settings, often involving software tools and data systemsBusiness or corporate environments analyzing data to inform decisions
Employer & Industry UsageUsed in IT, data management, and technical roles across various industriesCommon in finance, marketing, healthcare, and business sectors

Data Translation and Data Analyst roles share overlapping skills in data handling and analysis, but Data Translation focuses more on converting data between formats and systems, while Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

What are some common challenges faced by professionals in Data Translation roles, and how can they be addressed?

Data Translation professionals often encounter challenges such as bridging communication gaps between technical teams and business stakeholders, translating complex data insights into actionable business recommendations, and ensuring data accuracy and integrity during the translation process. To address these challenges, it's important to develop strong interpersonal and communication skills, stay updated on both business objectives and technical tools, and foster collaborative relationships across departments. Additionally, adopting visualization tools and frameworks can help present data in a more accessible manner for non-technical audiences.

What is data translation?

Data translation is the process of converting data from one format, structure, or language into another to ensure compatibility and usability across different systems or platforms. Professionals in data translation typically work with databases, software applications, and data integration tools to interpret, map, and transform data accurately. This role is essential in industries where data needs to flow seamlessly between different departments, organizations, or technologies. The goal is to maintain data integrity and enable efficient data analysis and reporting.
What cities in Virginia are hiring for Data Translation jobs? Cities in Virginia with the most Data Translation job openings:
Infographic showing various Data Translation 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 $62,002 per year, or $29.8 per hour.

Data Engineer / Data Scientist with Security Clearance

Indigo Industries, LLC

Arlington, VA • On-site

Other

Posted 2 days ago


Job description

Description:
• Position Title: Data Engineer / Data Scientist (Ontology and Data Science Engineer)
• Clearance Level: Top Secret / SCI (TS/SCI) • Location: Arlington, VA
• Reporting To: Lead for Digital Environments, APEX
• Travel: ~25% Role Overview:
The incumbent will play a critical role in structuring complex mission data and developing robust analytical models to support the assessment of Department of War (DoW) systems and capabilities. The primary focus of this role is supporting ontology development and ensuring seamless integration with Mission Engineering (ME) ontologies within the MEIA JCDE environment. The ideal candidate blends expertise in Model-Based Systems Engineering (MBSE), semantic data structuring, and statistical analysis to drive data-informed capability assessments. Responsibilities:
• Ontology Development & Integration: Design, develop, and maintain ontologies to structure complex data, ensuring alignment and integration with overarching Mission Engineering ontologies within the MEIA JCDE environment.
• Analytical Modeling: Develop, test, and support advanced analytical and statistical models to assess the performance, gaps, and effectiveness of current and proposed systems and capabilities.
• System Modeling: Utilize SysML to support MBSE efforts, mapping system architectures and behaviors to underlying data structures and ontologies.
• Data Translation: Act as a bridge between systems engineers and data architects, translating mission requirements into logical data models and quantitative assessments.
• Reporting & Visualization: Synthesize complex data science outputs and semantic queries into clear, actionable insights for mission stakeholders and decision-makers.Technical Liaison: Support the APEX by translating mission requirements into technical specifications for enterprise IT partners. Experience Requirements
Professional Experience:
• Professional Experience: Mid-level professional (5-8+ years) with data science, systems engineering, or ontology development experience.
• DoD Domain Context: Prior experience supporting DoD/DoW mission sets, processes, or data environments is a strong plus, though not a strict requirement.
• Data Science & Modeling Proficiency: Strong proficiency in Statistical Software, data science programming (e.g., Python, Pandas, Scikit-learn, R), and SysML for MBSE efforts.
• Semantic Web Expertise: Applied experience with semantic web technologies and ontology languages (e.g., OWL, RDF, SPARQL). Familiarity with graph databases (e.g., Neo4j, ArangoDB) and MBSE software (e.g., Cameo Systems Modeler) is highly desirable. Education & Certifications: • Education: Bachelor’s or Master's degree in Data Science, Systems Engineering, Computer Science, Mathematics, or a related technical field.
• Certifications: Relevant certifications in Data Science, MBSE (e.g., OCSMP), or Cloud infrastructure are preferred.