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Remote Data Exchange Jobs (NOW HIRING)

Futran Tech Solutions Pvt. Ltd.

Interface Developer

Remote Project description We are seeking a skilled interface Developer. The ideal candidate will ... Work with healthcare standards such as HL7 and FHIR to facilitate the data exchange between systems ...

VetsEZ

Backend Engineer (Remote Opportunity)

Miami, FL · On-site +1

Support data exchange processes, error handling, operational resilience, and secure service-to ... Remote Opportunity. Note: Selected candidates will be required to complete fingerprinting at a ...

Kodex, Inc

Manager, Product

$200K - $230K/yr

You will oversee a complex ecosystem that involves secure data exchange, advanced API integrations ... Benefits * Remote-first within the U.S. * Biannual offsites in exciting locations. Past trips ...

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Remote Data Exchange information

What is the difference between Remote Data Exchange vs Remote Data Analyst?

AspectRemote Data ExchangeRemote Data Analyst
Required CredentialsData exchange certifications, data management skillsData analysis certifications, statistical skills
Work EnvironmentCollaborates with IT, data teams, often involves data transfer platformsAnalyzes datasets, creates reports, uses analytics tools
Employer & Industry UsageTech, finance, logistics companies managing data flowBusiness, marketing, finance sectors analyzing data trends

Remote Data Exchange focuses on managing and transferring data between systems, requiring technical skills in data platforms. Remote Data Analysts interpret data, generate insights, and support decision-making. While both roles involve data, their core functions and skill sets differ, making them distinct career paths in the data industry.

What is a Remote Data Exchange?

A Remote Data Exchange refers to the process of transferring, sharing, or accessing data between different systems, locations, or organizations via remote connections, often over the internet. This is commonly used in businesses that need to share data securely and efficiently without being physically present. Remote Data Exchange can involve various technologies and protocols to ensure data integrity, security, and compliance with regulations. It is widely used for cloud storage, remote work collaboration, and integrating systems across different geographic locations.

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

To thrive as a Remote Data Exchange Specialist, you need strong analytical abilities, knowledge of data formats and protocols (such as XML, JSON, and EDI), and experience with data integration, often backed by a relevant degree in IT or computer science. Familiarity with data exchange platforms, ETL tools, APIs, and certifications in data management or integration are commonly required. Excellent problem-solving, attention to detail, and effective communication are crucial soft skills for coordinating with external partners and internal teams. These skills ensure accurate, secure, and efficient data transfers, supporting seamless business operations and compliance.

What are the main challenges of working in a Remote Data Exchange role and how can they be addressed?

One of the main challenges in a Remote Data Exchange role is ensuring secure, efficient, and accurate data transfer across different platforms, often while collaborating with distributed teams. This requires strong communication skills and familiarity with data integration tools, as well as an understanding of data privacy and compliance requirements. Establishing clear protocols for data handling and regularly coordinating with IT, compliance, and business stakeholders helps address these challenges and maintain smooth operations. Additionally, staying updated on best practices and new technologies in data exchange can further enhance your effectiveness in the role.
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Remote Data Exchange jobs near you

Joint Data Mgt/Architecture (PID 1397)

EXECUTIVE PERSONNEL SERVICES INC

Washington, DC • Remote

$58 - $62/hr

Other

Posted 12 days ago

Job description

Job Location: Washington, DC (Remote)

Description:

This resource is responsible fororchestrating and overseeing data exchange efforts across DOD/VA for the SingleCommon Federal EHR modernization effort. Act as a subject matter expert in datamanagement, focused on the operationalization of the FEHRM's Data ManagementPlan from a technical perspective. Advise on the application of data managementprincipals and concepts into real-world usage as it pertains to the EHR. Ensurethe successful formation and organization of data governance working groups byidentifying data management issues for attention. Engage with technicalstakeholders to identify potential data management and interoperability issuesand propose technical solutions for remedy. Coordinate with data architectureteams to understand issues, risks and opportunities. Propose strategies tomitigate data-related issues and risks. Maintain awareness of data architecturedesign decisions made by the Departments and the effect on the Federal EHR.Monitor the status of the Departments efforts to translate user requirementsinto enterprise data models.

Basic Qualifications:

  • 5+ years of professional work experience
  • Well-versed in data management, governance best practices (DMBOK preferred), and architecture
  • Understanding of technical documentation, to include DODAF/BPMN process diagrams, conceptual/ logical/physical data models, and other database related artifacts
  • Able to plan, design, and oversee deployment of complex enterprise-wide or large-scale data governance initiatives
  • Experience supporting program/project planning and milestone development
  • Experience developing executive-level briefings and in formulating courses of action to address technical challenges
  • Able to formulate a strategy for the analysis of a large data set and develop use cases
  • Able to develop a methodology for how data is to be maintained to include requirements for security, privacy, retention, and efficient use
  • Able to develop an artifact detailing a high-level strategy and low-level functional steps for a data migration plan
  • Bacheloras Degree in Information Systems, Computer Science, Engineering, Business or related discipline. An additional 8 years of relevant experience may be substituted for degree requirements

PreferredQualifications:

  • Experience in the VA and/or DoD
  • Experience implementing Electronic Health Records

Experience with the data analytics and/or dataarchitecture for an enterprise that leveraged Big Data using a Cloud ServiceProvider

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