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Remote Healthcare Data Engineer Jobs in Georgia (NOW HIRING)

Senior Data Engineer/Devops

Atlanta, GA ยท Remote

$100K - $136K/yr

Senior Healthcare Data Engineer Remote TRC Talent Solutions is seeking a Senior Healthcare Data Engineer to support the continued growth and evolution of a healthcare organization's enterprise data ...

New

Data Engineer

Atlanta, GA ยท On-site +1

$110K - $132K/yr

This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ... Medical/ Dental/ Vision, 401(k)/Roth plan with matching, Healthcare Savings Accounts. Educational ...

Data Engineer - GCP

Atlanta, GA ยท On-site +1

$110K - $132K/yr

Comprehensive health, dental, and vision coverage. * Professional development and training ... Flexible work environment and remote work options. Join us and be part of a team building ...

Data Engineer - GCP

Atlanta, GA ยท On-site +1

$110K - $132K/yr

Comprehensive health, dental, and vision coverage. * Professional development and training ... Flexible work environment and remote work options. Join us and be part of a team building ...

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Remote Healthcare Data Engineer information

What is the difference between Remote Healthcare Data Engineer vs Remote Healthcare Data Analyst?

AspectRemote Healthcare Data EngineerRemote Healthcare Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; experience with data pipelinesBachelor's in Statistics, Data Analysis, or related; proficiency in data visualization
Work EnvironmentDevelops data infrastructure, manages pipelines, collaborates with engineersInterprets data, creates reports, supports decision-making
Industry UsageDesigns data systems for healthcare organizations, research institutionsAnalyzes healthcare data for insights, reporting, and compliance
Common Search/ComparisonOften compared for technical roles in healthcare data managementRelated but focuses on analysis rather than infrastructure

The main difference is that Remote Healthcare Data Engineers build and maintain data systems and pipelines, while Remote Healthcare Data Analysts interpret data and generate reports. Both roles require healthcare industry knowledge, but engineers focus on data infrastructure, whereas analysts focus on data insights.

What skills and qualifications are needed to thrive as a remote healthcare data engineer?

To thrive as a Remote Healthcare Data Engineer, you need expertise in data architecture, database management, and healthcare data standards, often supported by a degree in computer science or a related field. Familiarity with tools like SQL, Python, cloud platforms (e.g., AWS or Azure), and knowledge of healthcare-specific systems such as HL7 or FHIR is crucial. Strong problem-solving skills, attention to detail, and effective remote communication are standout soft skills in this role. These competencies ensure secure, accurate handling of sensitive health information and support effective data-driven decisions in healthcare organizations.

How does a remote healthcare data engineer collaborate with clinical and IT teams to ensure data accuracy and security?

Remote Healthcare Data Engineers frequently work cross-functionally with clinical staff, IT professionals, and data analysts to design, implement, and maintain secure data pipelines. They participate in virtual meetings to understand data requirements, clarify data definitions, and ensure compliance with healthcare regulations such as HIPAA. Collaboration tools and secure communication platforms are essential to share updates, resolve issues, and document workflows. This teamwork helps ensure that data is accurate, accessible, and protected, ultimately supporting improved patient outcomes and operational efficiency.

What does a remote healthcare data engineer do?

A Remote Healthcare Data Engineer designs, builds, and maintains data systems that collect, store, and process healthcare data, all while working from a remote location. They ensure that large volumes of medical records, patient information, and other healthcare-related data are organized and secure. Their work supports healthcare providers and researchers in making data-driven decisions, improving patient outcomes, and ensuring compliance with privacy regulations. Remote Healthcare Data Engineers often collaborate with data scientists, analysts, and IT teams to create efficient and scalable data pipelines tailored to the unique needs of healthcare organizations.
What job categories do people searching Remote Healthcare Data Engineer jobs in Georgia look for? The top searched job categories for Remote Healthcare Data Engineer jobs in Georgia are:
What cities in Georgia are hiring for Remote Healthcare Data Engineer jobs? Cities in Georgia with the most Remote Healthcare Data Engineer job openings:
Infographic showing various Remote Healthcare Data Engineer job openings in Georgia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Senior Data Engineer/Devops

TRC Talent Solutions

Atlanta, GA โ€ข Remote

$100K - $136K/yr

Full-time

Posted yesterday

New


Job description

Senior Healthcare Data Engineer

Remote

TRC Talent Solutions is seeking a Senior Healthcare Data Engineer to support the continued growth and evolution of a healthcare organization's enterprise data and analytics platform. This role will play a key part in expanding centralized reporting, data integration, automation, and interoperability capabilities across multiple clinical and business systems.

The ideal candidate will bring a blend of healthcare data engineering, cloud data platform expertise, and hands-on experience supporting production environments. This position offers the opportunity to work across data pipelines, cloud infrastructure, analytics platforms, and healthcare integrations while helping shape future-state data architecture.

Responsibilities
  • Design, build, and support scalable data pipelines and integrations across healthcare and business systems

  • Develop and maintain ETL/ELT processes using modern cloud-based data platforms and integration tools

  • Support enterprise reporting and analytics initiatives by delivering high-quality, reliable data solutions

  • Monitor, troubleshoot, and maintain production data environments, integrations, and platform components

  • Support cloud-based data infrastructure within Microsoft Azure environments

  • Maintain and enhance connectivity between internal and external systems, including APIs, file-based integrations, and healthcare data exchanges

  • Analyze existing integrations and data workflows to support new platform development and future interoperability initiatives

  • Collaborate with business stakeholders, application teams, analysts, and technical teams to deliver data solutions that support operational and clinical objectives

  • Participate in platform operations, deployment support, environment management, and continuous improvement initiatives

  • Ensure data quality, security, reliability, and compliance within healthcare data environments

Qualifications
  • 5+ years of experience in Data Engineering, Data Integration, or related data platform roles

  • Experience working with healthcare data and healthcare information systems

  • Experience supporting EMR/EHR platforms such as Epic, Raintree, WebPT, Cerner, Meditech, Athenahealth, or similar systems

  • Strong SQL development and data modeling experience

  • Experience with cloud data warehouse technologies, preferably Snowflake

  • Experience developing and supporting ETL/ELT processes using tools such as Matillion, Azure Data Factory, SSIS, Informatica, or similar platforms

  • Hands-on experience within Microsoft Azure environments

  • Experience supporting production systems, monitoring integrations, troubleshooting issues, and maintaining platform stability

  • Familiarity with healthcare interoperability standards such as HL7, FHIR, APIs, and file-based integrations

  • Strong analytical, problem-solving, and communication skills

Preferred Qualifications
  • Epic experience

  • Snowflake experience

  • Matillion experience

  • Healthcare interoperability and integration experience

  • Experience supporting Azure-based data and analytics platforms

This is an opportunity to join a growing team where you will have broad exposure across data engineering, cloud technologies, analytics platforms, and healthcare integrations while helping drive the future of enterprise data capabilities.