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Data Translator 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 ...

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 ...

... 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

Herndon, 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

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.

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.

Data Scientist

Arlington, VA · On-site

$140K - $145K/yr

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.

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.

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.

Data Scientist

Arlington, VA · On-site

$140K - $145K/yr

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.

Data Scientist

Arlington, VA · On-site

$130K - $140K/yr

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.

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Showing results 1-20

Data Translator information

See Virginia salary details

$27.3K

$56.7K

$86.8K

How much do data translator jobs pay per year?

As of Aug 3, 2026, the average yearly pay for data translator in Virginia is $56,710.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,600.00 and $57,000.00 per year, depending on experience, location, and employer.

What is a Data Translator job?

A Data Translator acts as a bridge between data scientists and business stakeholders, ensuring that data insights are clearly understood and effectively applied. They translate complex analytical findings into actionable business strategies, helping organizations make data-driven decisions. This role requires a mix of technical knowledge, business acumen, and communication skills to align data initiatives with business goals.

What are the typical collaboration dynamics for a Data Translator within an organization?

Data Translators often work at the intersection of technical teams (like data scientists or engineers) and business stakeholders, facilitating clear communication and actionable insights. They translate complex data results into language and formats that non-technical teams can use for strategic decision-making, frequently participating in meetings with both groups. Close collaboration is common, and Data Translators may lead workshops, gather business requirements, and help prioritize data projects. This collaborative dynamic ensures organizational goals are aligned with the insights and capabilities of the analytics team, making the Data Translator a critical connector in data-driven organizations.

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

To thrive as a Data Translator, you need a strong analytical background, proficiency in interpreting data, and a good understanding of both business operations and technical concepts, often supported by a degree in analytics, business, or a related field. Familiarity with analytics tools (such as Tableau, Power BI, or SQL) and certifications in data literacy or business analytics are commonly valued. Exceptional communication, problem-solving abilities, and stakeholder management skills are key soft skills for this role. These skills are crucial because Data Translators bridge the gap between data teams and business leaders, ensuring data-driven decisions are understandable and actionable.

What are the most commonly searched types of Data Translator jobs in Virginia? The most popular types of Data Translator jobs in Virginia are:
Infographic showing various Data Translator job openings in Virginia as of July 2026, with employment types broken down into 100% Full Time. Highlights an 94% In-person, and 6% Hybrid job distribution, with an average salary of $56,710 per year, or $27.3 per hour.

Data Engineer / Data Scientist with Security Clearance

Indigo Industries, LLC

Arlington, VA • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 23 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. Why work for Indigo?
At Indigo Industries, you'll do hands-on technical work on a mission that matters — and we back that up with benefits that support your life outside of it: -Paid time off — all federal holidays plus three weeks of accrued paid vacation.
-Employer-paid health insurance — Indigo currently covers the individual health insurance premium for eligible employees after a 30-day waiting period. Full plan details, including health coverage and available dental and vision options, are provided at hire.
-Retirement savings — SIMPLE IRA with up to 3% employer matching after a 30-day waiting period.