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Data Translation Jobs (NOW HIRING)

Monitor and manage the translation process of ELR data, ensuring smooth transitions to production environments. * Troubleshoot internal issues or issues with external source partners to resolve data ...

XML; โ€ข Use of custom data management tools and applications, including scripts for data translation, normalization,and validation; โ€ข Proficiency in data collection and database administration ...

Snowflake Data Engineer

Plano, TX ยท On-site

$109K - $131K/yr

Engineering services include Data Translation, CAD/CAM/CAE, Process & Product Engineering, Prototyping, and Testing/Validation within a wide range of markets and industries.

AI Engineer

Leawood, KS

$111K - $133K/yr

Define the end-to-end data roadmap for multilingual and multimodal AI systems, including text, speech, translation, interpretation, low-resource languages, and agentic AI workflows. * Design and ...

AI Engineer

Leawood, KS ยท On-site

$111K - $133K/yr

Define the end-to-end data roadmap for multilingual and multimodal AI systems, including text, speech, translation, interpretation, low-resource languages, and agentic AI workflows. * Design and ...

AI Engineer

Leawood, KS ยท On-site

$111K - $133K/yr

Define the end-to-end data roadmap for multilingual and multimodal AI systems, including text, speech, translation, interpretation, low-resource languages, and agentic AI workflows. * Design and ...

.NET Developer

Des Moines, IA ยท On-site

$47 - $62.25/hr

These engineers will help build middleware translation layers to extract, transform, and transmit POS data from a new retail POS system into enterprise applications.Key Responsibilities * Design ...

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Data Translation information

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$75

How much do data translation jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for data translation in the United States is $30.65, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $35.34 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.
More about Data Translation jobs
What cities are hiring for Data Translation jobs? Cities with the most Data Translation job openings:
What states have the most Data Translation jobs? States with the most job openings for Data Translation jobs include:
Infographic showing various Data Translation job openings in the United States as of June 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 92% In-person, and 8% Hybrid job distribution, with an average salary of $63,753 per year, or $30.7 per hour.
HL7 Data Analyst

HL7 Data Analyst

Apex Informatics

Tallahassee, FL โ€ข On-site

Other

Posted 27 days ago


Job description

Job Description: HL7 Data Specialist & ELR Quality Assurance Analyst
Location: Tallahassee, FL - Onsite 5 Days
Position Overview: We are seeking an experienced HL7 Data Specialist & ELR Quality Assurance Analyst to manage and oversee the quality assurance and data translation processes for public health data systems. This role will be responsible for ensuring the accuracy and timeliness of electronic laboratory reporting (ELR) data from laboratories, resolving issues, and providing technical consultation regarding HL7 standards.
Key Responsibilities:
  1. Data Quality Assurance & Monitoring:
    • Perform daily quality assurance evaluations of ELR data from established laboratories and those entering the ELR process.
    • Monitor and manage the translation process of ELR data, ensuring smooth transitions to production environments.
    • Troubleshoot internal issues or issues with external source partners to resolve data discrepancies.
  2. System Configuration & Onboarding:
    • Configure, validate, and onboard additional hospitals and laboratories for reportable disease testing, collaborating with their technical teams.
    • Make interface changes to accommodate new laboratory tests that need to be reported.
    • Establish connectivity with new hospitals or laboratories by completing setup, reviewing design, conducting testing, and ensuring successful implementation for production use.
  3. Consultation & Collaboration:
    • Provide consultation and guidance to ELR data providers regarding HL7 data submission standards and reporting requirements.
    • Participate in weekly ELR meetings, collaborating with technical teams to resolve issues and improve processes.
  4. Technical Support:
    • Offer off-hours support, including weekends and holidays, to ensure continuous system operation and resolve urgent issues as needed.

Required Qualifications:
Experience:
    • 4 years of experience working with Health Level 7 (HL7) formatted data.
    • 4 years of experience with Microsoft SQL database engine.
    • 3 years of experience in medical systems, business processes in the medical field, laboratory information management systems, electronic health records, and public health surveillance.
    • 4 years of experience using Cloverleaf and Mirth to handle HL7 data translation and manipulation from electronic health records.

Skills:
  • Strong problem-solving abilities to troubleshoot issues in data translation and integration.
  • Ability to work directly with technical resources from hospitals and labs to establish and optimize data connectivity.
  • Experience in providing consultation regarding HL7 submission standards and requirements.