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Remote Healthcare Data Engineer Jobs in Texas (NOW HIRING)

... 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 ...

... 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 ...

... 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 ...

Data Engineer

Austin, TX · Remote

$113K - $136K/yr

Why You'll Love It Here Flexibility Work that fits your life - with a remote work schedule ... Great Benefits Comprehensive healthcare plans, a 401(k) with company match and immediate vesting ...

Data Engineer - Remote

Dallas, TX · On-site +1

$105K - $126K/yr

Role: Data Engineer Location: Dallas, TX Duration: 12+ Months Contract * Bachelor's degree in Computer Science, Data Engineering, or a related field * 3+ years of experience in data engineering ...

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

Virtual (Remote) Who We Are Gigapower is building next-generation fiber broadband infrastructure ... healthcare, and digital innovation. At Gigapower, we value collaboration, accountability ...

Showing results 21-40

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 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 cities in Texas are hiring for Remote Healthcare Data Engineer jobs?

Cities in Texas with the most Remote Healthcare Data Engineer job openings:

Infographic showing various Remote Healthcare Data Engineer job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Ontology Expert - Remote

NTT DATA Services

Dallas, TX • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


NTT Data rating

7.4

Company rating: 7.4 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

117th of 223 rated it services


Job description

Req ID: 367052 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Ontology Expert - Remote to join our team in Dallas, Texas (US-TX), United States (US).

Ontology Expert – Healthcare AI Solutions

Day to Day job Duties: (what this person will do on a daily/weekly basis) 

 

Role Summary

We are seeking an experienced Ontology Expert to design, develop, and govern healthcare ontologies that power AI-driven and agentic healthcare solutions. The role focuses on building semantic models that enable interoperability, reasoning, knowledge representation, and explainable AI across clinical and healthcare enterprise systems.

 

Key Responsibilities

- Design, build, and maintain healthcare ontologies and semantic models.

- Define domain vocabularies, taxonomies, and relationships for AI-driven solutions.

- Support knowledge representation for AI agents, decision-support, and clinical intelligence systems.

- Collaborate with clinicians, data scientists, and AI engineers to translate knowledge into formal models.

- Govern ontology lifecycle, versioning, and semantic consistency.

 

Healthcare Ontology & Semantic Modeling

- Develop ontologies using standards such as OWL, RDF, and SKOS.

- Work with healthcare standards and terminologies (SNOMED CT, ICD-10, LOINC, RxNorm).

- Enable semantic interoperability across EHRs and healthcare data sources.

- Support reasoning, inference, and rule-based logic for AI systems.

 

AI & Agentic Solution Support

- Enable AI and GenAI systems with structured healthcare knowledge.

- Support agentic workflows, decision models, and explainable AI outputs.

- Collaborate on RAG pipelines and knowledge graph integration for LLM-based systems.

- Ensure semantic accuracy and safety for clinical use cases.

 

Technical Skills & Tools

- Strong knowledge of OWL, RDF, SPARQL, and knowledge graph technologies.

- Experience with ontology tools such as Protégé, TopBraid, or Stardog.

- Familiarity with FHIR, HL7, and healthcare data models.

- Exposure to AI/ML and GenAI systems, including LLM-enabled solutions.

- Programming or scripting experience in Python or similar languages (preferred).

 

Compliance, Governance & Quality

- Ensure ontologies align with clinical safety, regulatory, and compliance requirements.

- Support auditability, traceability, and explainability of AI decisions.

- Define semantic governance policies and best practices.

Basic Qualifications: (what are the skills required to this job with minimum years of experience on each)

 

 

Required Skills & Experience

- 5+ years of experience in ontology engineering, semantic modeling, or knowledge engineering.

- Strong healthcare domain knowledge (clinical, payer, or life sciences).

- Experience working with structured and unstructured healthcare data.

- Ability to collaborate across technical and clinical teams.

Nice to Have;

 

Preferred Qualifications

- Background in clinical informatics or biomedical informatics.

- Experience with healthcare AI platforms or decision-support systems.

- Knowledge of semantic search, reasoning engines, or knowledge graphs.

- Advanced degree in Computer Science, Biomedical Informatics, or related fields.

 

Soft Skills

- Strong analytical and conceptual thinking abilities.

- Excellent communication skills to work with clinical and technical stakeholders.

- Attention to detail and passion for semantic accuracy.

 

Why Join Us

This role offers the opportunity to shape the semantic foundation of AI-driven healthcare solutions, supporting intelligent agents, explainable AI, and interoperable healthcare systems at scale.

Must reside in the US 

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $105,840.00-$147,000.00. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications.   

This position may also be eligible for incentive compensation based on individual and/or company performance.  

This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits. 

Pay Transparency: Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $105,840 - $245,00. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications.

 

About NTT DATA

NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services.  Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

 

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

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About NTT DATA

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NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967