Healthcare Jobs in Austin, TX
Healthcare jobs in Austin, Texas are concentrated in the medical corridor around North Lamar, the Domain district, and the South Congress area, with strong demand across hospital systems, specialty clinics, and health-tech companies. Employers hiring right now include O'CONNELL ROBERTSON, SHI International, and TouchPoint Support Services. Find a role that fits below and apply directly.
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ASSYST is seeking an experienced Senior Healthcare Data Engineer to lead system integration, programming automation, and data modernization initiatives for our Client in Austin TX (Hybrid)
The Senior Healthcare Data Engineer leads the effort to evaluate and specify business requirements for electronic initial case report (eICR) ingestion, design auto-population mechanisms for registry fields, streamline the clinical review triage process, and construct operational dashboards. Shall be working closely with epidemiologists, clinical abstractors, and database architects, the developer will build automated, reliable workflows to extract, validate, and incorporate complex clinical and public health data into active surveillance workflows.
Key Responsibilities:
- Conduct an in-depth needs assessment to determine system and functional requirements for TBIRDS to ingest incoming eICRs and auto-populate designated registry fields.
- Translate epidemiological and clinical surveillance workflows into concrete technical specifications, data dictionaries, and architectural recommendations.
- Produce formal System Requirements Documents (SRD) and comprehensive integration runbooks to ensure long-term solution sustainability
- Design, build, test, and maintain automated data pipelines using SAS, Python, R, or SQL to extract, ingest, and process high-volume electronic health record (EHR) data feeds.
- Create automated rules for deterministic and probabilistic record linkage, entity deduplication, and integration across relational databases.
- Automate the clinical review workflow to triage and route incoming case alerts, minimizing manual abstraction lag.
- Build, configure, and maintain interactive operational dashboards tracking eCR ingestion volumes, data completeness, processing bottlenecks, and transformation error rates.
- Present actionable system and surveillance metrics to branch leadership, epidemiologists, and technical collaborators.
- Establish unit, integration, and regression testing frameworks to validate pipeline reliability, data completeness, and standardization.
- Ensure transformations strictly preserve semantic meaning across clinical terminology sets and interoperability standards.
- Debug script issues, address parsing anomalies, and continuously optimize data ingestion throughput.
- Maintain end-to-end documentation for all scripts, schemas, data flows, and automated ETL procedures.
- Interface between epidemiological researchers, IT infrastructure teams, and external healthcare reporting partners to ensure aligned system modernization.
Qualifications & Skill Requirements
- 8+ Years in Scripting & Statistical Programming, Hands-on development, testing, maintenance, and troubleshooting using SAS, Python, R, or comparable enterprise data languages.
- 8+ Years in System Integration & Automation, Proven track record designing automated interoperability workflows, data exchange routines, and dashboard solutions.
- 8+ Years in Health & Database Systems, Experience querying and managing complex structured or semi-structured healthcare, public health, or administrative datasets using relational databases (SQL).
- 8+ Years in System Requirements & Technical Analysis, Demonstrated ability to evaluate business and programmatic needs and translate them into formal technical specifications and system reports.
- 8+ Years in Data Validation & Quality Assurance, Methodological testing, auditing, and verification of automated data integration pipelines.
- 8+ Years in Technical Documentation & Communication, Strong documentation habits alongside demonstrated ability to explain complex technical concepts to non-technical and clinical staff.
Preferred Qualifications
- 2+ Years in Healthcare Interoperability & Messaging, Direct experience handling electronic case reporting (eCR / eICR), Health Information Exchanges (HIE), Electronic Health Records (EHR), and standards such as HL7 (v2/v3), CDA, HL7 FHIR, XML, or JSON.
- 2+ Years in Clinical Terminology, Familiarity working with standardized clinical classifications such as SNOMED CT, LOINC, and ICD-10.
- 2+ Years in Public Health & Registry Systems, Experience working with state public health registries, disease surveillance systems, data linkage/matching methods, and production-grade ETL pipelines.
ASSYST is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, national origin or any other characteristic protected under federal, state, or applicable local law
ASSYST is seeking an experienced Senior Healthcare Data Engineer to lead system integration, programming automation, and data modernization initiatives for our Client in Austin TX (Hybrid)
The Senior Healthcare Data Engineer leads the effort to evaluate and specify business requirements for electronic initial case report (eICR) ingestion, design auto-population mechanisms for registry fields, streamline the clinical review triage process, and construct operational dashboards. Shall be working closely with epidemiologists, clinical abstractors, and database architects, the developer will build automated, reliable workflows to extract, validate, and incorporate complex clinical and public health data into active surveillance workflows.
Key Responsibilities:
- Conduct an in-depth needs assessment to determine system and functional requirements for TBIRDS to ingest incoming eICRs and auto-populate designated registry fields.
- Translate epidemiological and clinical surveillance workflows into concrete technical specifications, data dictionaries, and architectural recommendations.
- Produce formal System Requirements Documents (SRD) and comprehensive integration runbooks to ensure long-term solution sustainability
- Design, build, test, and maintain automated data pipelines using SAS, Python, R, or SQL to extract, ingest, and process high-volume electronic health record (EHR) data feeds.
- Create automated rules for deterministic and probabilistic record linkage, entity deduplication, and integration across relational databases.
- Automate the clinical review workflow to triage and route incoming case alerts, minimizing manual abstraction lag.
- Build, configure, and maintain interactive operational dashboards tracking eCR ingestion volumes, data completeness, processing bottlenecks, and transformation error rates.
- Present actionable system and surveillance metrics to branch leadership, epidemiologists, and technical collaborators.
- Establish unit, integration, and regression testing frameworks to validate pipeline reliability, data completeness, and standardization.
- Ensure transformations strictly preserve semantic meaning across clinical terminology sets and interoperability standards.
- Debug script issues, address parsing anomalies, and continuously optimize data ingestion throughput.
- Maintain end-to-end documentation for all scripts, schemas, data flows, and automated ETL procedures.
- Interface between epidemiological researchers, IT infrastructure teams, and external healthcare reporting partners to ensure aligned system modernization.
Qualifications & Skill Requirements
- 8+ Years in Scripting & Statistical Programming, Hands-on development, testing, maintenance, and troubleshooting using SAS, Python, R, or comparable enterprise data languages.
- 8+ Years in System Integration & Automation, Proven track record designing automated interoperability workflows, data exchange routines, and dashboard solutions.
- 8+ Years in Health & Database Systems, Experience querying and managing complex structured or semi-structured healthcare, public health, or administrative datasets using relational databases (SQL).
- 8+ Years in System Requirements & Technical Analysis, Demonstrated ability to evaluate business and programmatic needs and translate them into formal technical specifications and system reports.
- 8+ Years in Data Validation & Quality Assurance, Methodological testing, auditing, and verification of automated data integration pipelines.
- 8+ Years in Technical Documentation & Communication, Strong documentation habits alongside demonstrated ability to explain complex technical concepts to non-technical and clinical staff.
Preferred Qualifications
- 2+ Years in Healthcare Interoperability & Messaging, Direct experience handling electronic case reporting (eCR / eICR), Health Information Exchanges (HIE), Electronic Health Records (EHR), and standards such as HL7 (v2/v3), CDA, HL7 FHIR, XML, or JSON.
- 2+ Years in Clinical Terminology, Familiarity working with standardized clinical classifications such as SNOMED CT, LOINC, and ICD-10.
- 2+ Years in Public Health & Registry Systems, Experience working with state public health registries, disease surveillance systems, data linkage/matching methods, and production-grade ETL pipelines.
ASSYST is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, national origin or any other characteristic protected under federal, state, or applicable local law
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Who's Hiring
- O'CONNELL ROBERTSON32
- SHI International22
- TouchPoint Support Services22
- AMD11
- Hoar11H
Healthcare Jobs in Austin: Frequently Asked Questions
How do I get a healthcare job in Austin?
Austin's healthcare market is driven by its large hospital systems, a growing network of outpatient specialty clinics, and an expanding health-tech sector tied to the city's broader tech economy. Roles concentrate in the medical district near North Lamar, the Domain, and Round Rock. Candidates who combine clinical or technical credentials with familiarity with value-based care models and digital health tools tend to stand out in this market.
Which companies hire healthcares in Austin?
Employers hiring healthcares in Austin right now include O'CONNELL ROBERTSON, SHI International, and TouchPoint Support Services, based on current listings on Migrate Mate as of November 2026. Austin's healthcare employer base ranges from large integrated health systems and nationally recognized specialty groups to venture-backed digital health startups headquartered in the city.
Are there remote healthcare jobs in Austin?
Yes, though availability depends heavily on the role: hands-on clinical positions are almost always on-site, while health informatics, medical coding, utilization review, and care coordination roles are frequently remote. About 92% of healthcare openings tied to Austin are remote or hybrid as of November 2026. Austin's health-tech employer base makes it one of the stronger markets for desk-based remote healthcare roles in Texas.
How can I get a healthcare job in Austin with little or no experience?
The most realistic entry path in Austin is through patient-facing support roles such as medical assistant, patient care technician, or health unit coordinator at one of the city's large outpatient clinic networks or community health centers. Austin area federally qualified health centers and urgent care groups regularly hire entry-level candidates and provide on-the-job training. Volunteering or externship experience with a local hospital system is a concrete differentiator for first-time applicants in this market.
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