Public Health Data Integration Developer / Programmer Analyst (SAS, Python, SQL & HL7/FHIR)

CARE IT Services Inc; Austin (TX); Hybrid; USD 90,000 - 130,000; Full time

Job summary

CARE IT Services Inc. is seeking an experienced Public Health Data Integration Developer / Programmer Analyst in Austin, TX. This role focuses on building and maintaining data integration pipelines, dashboards, and interoperability solutions across public health systems.

The ideal candidate will have hands-on expertise in SAS, Python, R, SQL, and healthcare data standards such as HL7 and FHIR. The position is hybrid and involves collaborating with technical and nontechnical stakeholders to

Qualifications

• Experience developing data integration in public health or healthcare systems.
• Proficiency with SAS, Python or R for data processing and analysis.
• Strong SQL and relational database skills for data extraction and validation.
• Familiarity with HL7, FHIR, XML and SNOMED CT terminology is required.

Responsibilities

• Develop, test, maintain and troubleshoot SAS/Python/R scripts for data integration.
• Design system integrations, dashboards and automated workflows to improve data interoperability.
• Work with healthcare datasets including structured and semi-structured data.
• Develop SQL queries, work with relational databases, and perform data analysis and validation.
• Gather requirements and translate them into technical solutions.
• Test and validate automated data integration solutions and ensure data accuracy.
• Create technical documentation, code docs, specifications and procedures.
• Support interoperability involving eCR/eICR, EHR and HIE.

Skills

SAS

Python

R Programming

SQL

Data Integration

ETL Development

Healthcare Data

HL7 / FHIR

XML

eCR/eICR

EHR / HIE

SNOMED CT

Data Mapping

Data Linkage

Matching

Dashboard Reporting

Automated Pipelines

System Integration

Data Validation

Documentation & Analysis

Job description

Job Title:

Public Health Data Integration Developer / Programmer Analyst (SAS, Python, SQL & HL7/FHIR)

Location:

Austin, TX – Hybrid

Duration:

12+ Months

Job Description

We are seeking an experienced Public Health Data Integration Developer / Programmer Analyst with strong programming, database, data integration, and healthcare interoperability experience. The ideal candidate will have hands-on expertise in SAS, Python, R, SQL, automated data pipelines, and healthcare data standards such as HL7 and FHIR.

The candidate will be responsible for developing, testing, maintaining, and troubleshooting data integration solutions, automating workflows, building dashboards, and supporting public health data systems and surveillance applications.

Key Responsibilities & Required Skills

• Develop, test, maintain, and troubleshoot scripts using SAS, Python, R, or similar programming languages.
• Design and implement system integrations, dashboards, and automated workflows to improve data interoperability.
• Work with structured and semi-structured healthcare, public health, and complex administrative datasets.
• Develop SQL queries, work with relational databases, and perform data analysis and validation.
• Gather and document system requirements, identify business and programmatic needs, and translate them into technical solutions.
• Test and validate automated data integration solutions and ensure data accuracy and consistency.
• Develop and maintain technical documentation, code documentation, specifications, workflows, and procedures.
• Support healthcare data interoperability involving Electronic Case Reporting (eCR/eICR), Electronic Health Records (EHR), and Health Information Exchange (HIE).
• Work with healthcare interoperability standards and formats, including HL7, XML, FHIR, and SNOMED CT.
• Develop and maintain automated data pipelines, ETL processes, data linkage, and matching solutions.
• Support public health surveillance systems, registries, and healthcare data integration initiatives.
• Collaborate with technical teams, business stakeholders, and nontechnical staff to resolve complex data and system integration challenges.

Required Technical Skills

• SAS / Python / R Programming
• SQL and Relational Databases
• Data Integration and ETL Development
• Healthcare Data and Public Health Systems
• HL7 / FHIR / XML
• Electronic Case Reporting (eCR/eICR)
• Electronic Health Records (EHR) / Health Information Exchange (HIE)
• SNOMED CT / Clinical Terminology Standards
• Data Mapping, Data Linkage & Matching
• Dashboard Development and Reporting
• Automated Data Pipelines
• System Integration and Data Validation
• Technical Documentation and Requirements Analysis

Preferred Qualifications

• Experience working with public health surveillance systems or healthcare registries.
• Knowledge of healthcare interoperability standards and clinical data terminology.
• Strong analytical, troubleshooting, and problem solving skills.
• Excellent communication and collaboration skills.
• Ability to communicate technical concepts effectively to technical and nontechnical stakeholders.