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Remote Healthcare Data Engineer Jobs in Texas (NOW HIRING)

Scalepex

Healthcare Data Analyst

Dallas, TX · On-site +1

You'll work closely with teammates, engineering partners, and operational stakeholders to ... analysis, data analysis, and/or process improvement. * 2+ years of experience in the healthcare ...

Virtasant

Senior Data Engineer, Data Platform

Austin, TX · On-site +1

$113K - $136K/yr

Our client is a leading healthcare technology company, dedicated to transforming the patient and ... Totally remote within the contiguous United States, full-time (40h/week) * Stable, long-term ...

Src

Sr. Healthcare Data Analyst - Epic

Dallas, TX · On-site +1

$85K - $107K/yr

Hybrid, mostly remote The Healthcare Data Analyst will be a key member of the Analytics Center of ... computer engineering, or other computational quantitative field required. * Master's Degree or ...

Virtasant

Senior Data Engineer, Data Platform

Austin, TX · Remote

$113K - $136K/yr

Our client is a leading healthcare technology company, dedicated to transforming the patient and ... Totally remote within the contiguous United States, full-time (40h/week) * Stable, long-term ...

Virtasant

Senior Data Engineer, Data Platform

Austin, TX · Remote

$113K - $136K/yr

Our client is a leading healthcare technology company, dedicated to transforming the patient and ... Totally remote within the contiguous United States, full-time (40h/week) * Stable, long-term ...

VetsEZ

Data Engineer (Remote Opportunity)

Austin, TX · On-site +1

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal ... healthcare operations, analytics, reporting, and data-driven decision-making. The engineer will ...

Loxo

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

As an early hire to our engineering team, you will be responsible for managing Loxo's data ... 100% remote --- work and live from anywhere * Healthcare --- best in class healthcare, dental ...

NTT DATA Services

Ontology Expert - Remote

Dallas, TX · On-site +1

... EHRs and healthcare data sources. - Support reasoning, inference, and rule-based logic for AI ... Programming or scripting experience in Python or similar languages (preferred). Compliance ...

NTT DATA Services

Ontology Expert - Remote

Dallas, TX · Remote

... EHRs and healthcare data sources. - Support reasoning, inference, and rule-based logic for AI ... Programming or scripting experience in Python or similar languages (preferred). Compliance ...

NTT DATA Services

Ontology Expert - Remote

Dallas, TX · Remote

... EHRs and healthcare data sources. - Support reasoning, inference, and rule-based logic for AI ... Programming or scripting experience in Python or similar languages (preferred). Compliance ...

XTG

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/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 ...

XTG

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/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 ...

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All JobsHealthcare Data Engineer JobsRemote Healthcare Data Engineer JobsRemote Healthcare Data Engineer Jobs in Texas

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 are the key skills and qualifications needed to thrive as a Remote Healthcare Data Engineer, and why are they important?

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 typically 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 are popular job titles related to Remote Healthcare Data Engineer jobs in Texas? For Remote Healthcare Data Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Healthcare Data Engineer jobs in Texas look for? The top searched job categories for Remote Healthcare Data Engineer jobs in Texas are:
What cities in Texas are hiring for Remote Healthcare Data Engineer jobs? Cities in Texas with the most Remote Healthcare Data Engineer job openings:
Remote Healthcare Data Engineer jobs near you
Infographic showing various Remote Healthcare Data Engineer job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Healthcare Data Analyst

Scalepex

Dallas, TX • On-site, Remote

Full-time

Re-posted yesterday

Job description

About the Role
The Data Analyst plays a key role in monitoring, managing, and improving healthcare data file exchanges across clients, vendors, and internal systems. This role sits within a DataOps team responsible for ensuring data pipelines are accurate, reliable, and delivered on time.
You'll work closely with teammates, engineering partners, and operational stakeholders to troubleshoot issues, support EDI workflows, and continuously improve data processes. The ideal candidate combines strong technical attention to detail with an understanding of how data operations support client satisfaction and broader business outcomes.
What You'll Do
  • Maintain a strong understanding of data and task workflows across operational departments.
  • Communicate the status of ongoing tasks and issues to end users, team leads, and DataOps leadership.
  • Analyze and troubleshoot insurance claims, eligibility, and import/export file mappings.
  • Identify and resolve issues related to enrollment and enrollment changes within EDI files, partnering with engineering teams as needed.
  • Coordinate ongoing EDI testing, implementations, and upgrades.
  • Troubleshoot and report operational errors, including file movement and SFTP connection issues.
  • Compare data files and reports against documented business requirements to ensure data quality and identify gaps.
  • Support continuous improvement of data workflows, documentation, and operational processes.
  • Perform additional duties as assigned by the Team Lead or DataOps Manager.

Requirements
What You Bring
  • 4+ years of experience in system analysis, data analysis, and/or process improvement.
  • 2+ years of experience in the healthcare industry; TPA experience preferred.
  • Associate or Bachelor's degree preferred, but not required.
  • Strong analytical, critical thinking, and problem-solving skills.
  • Intermediate to advanced proficiency in Microsoft Office (Excel, Outlook, Word).
  • Familiarity with flat file data structures such as CSV or pipe-delimited files.
  • Experience using data analysis tools such as Excel, SQL, Tableau, Power BI, or similar tools.
  • Proven ability to analyze data, review requirements, and deliver insights that support business decisions.
  • Strong collaboration and communication skills across technical and non-technical teams.
  • Knowledge or experience with ANSI 5010 transactions (837, 835, 834, 270/271) preferred.

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