Senior Data Integration Analyst – Healthcare / Public Health
Job Title: Senior Data Integration Analyst – Healthcare
Location: Austin, TX (Hybrid)
Experience Required: 8+ Years
Employment Type: Contract
Pay Rate: $50/hour on W2
Industry: Healthcare / Public Health
Job Summary
TechAGI Solutions is seeking an experienced Senior Data Integration Analyst with a strong background in healthcare or public health data integration, programming, system interoperability, and workflow automation.
The ideal candidate will have 8+ years of hands-on experience working with complex healthcare datasets, developing and troubleshooting scripts using SAS, Python, or R, performing database queries, and implementing automated data integration solutions.
This role requires strong analytical and technical skills, along with the ability to collaborate with business stakeholders, technical teams, and healthcare professionals.
Key Responsibilities
Develop, test, troubleshoot, and maintain scripts using SAS, Python, R, or similar programming languages.
Design and implement automated data integration workflows and ETL processes.
Analyze structured and semi-structured healthcare, public health, and administrative datasets.
Perform database querying, data extraction, transformation, and validation using SQL and related tools.
Develop dashboards, reports, and automated reporting solutions.
Support healthcare system integration and data interoperability initiatives.
Gather, analyze, and document business and technical requirements.
Test and validate automated data integration solutions to ensure accuracy, quality, and reliability.
Create and maintain technical documentation, code specifications, workflows, and procedures.
Collaborate with cross-functional teams to identify and resolve data integration challenges.
Improve existing data processing workflows, reporting capabilities, and system efficiency.
Required Qualifications
8+ years of experience in data integration, data analysis, system integration, or related technical roles.
Strong hands-on programming experience with SAS, Python, or R.
Proficiency in SQL, relational databases, and complex database queries.
Experience working with healthcare, public health, or complex administrative datasets.
Strong experience in ETL, automated data processing, and workflow automation.
Experience with dashboard development, reporting, and data visualization.
Proven ability to test, validate, and troubleshoot automated data integration solutions.
Experience gathering business requirements and preparing technical documentation.
Strong understanding of data quality, data validation, and data transformation.
Excellent analytical, problem-solving, and communication skills.
Preferred Qualifications
Experience with Electronic Case Reporting (eCR/eICR).
Familiarity with Electronic Health Records (EHR) and Health Information Exchange (HIE) systems.
Knowledge of healthcare interoperability standards, including HL7, FHIR, and XML.
Understanding of SNOMED CT and clinical terminology standards.
Experience with public health surveillance systems, healthcare registries, or clinical reporting.
Knowledge of data linkage, record matching, and healthcare data pipelines.
Previous experience supporting public sector healthcare or public health technology initiatives.
Skills
SAS, Python, R, SQL, Data Integration, Healthcare Data, Public Health, ETL, Data Analysis, System Integration, Workflow Automation, Data Validation, Data Quality, Data Transformation, Data Mapping, Dashboard Development, Data Visualization, Relational Databases, HL7, FHIR, XML, eCR, eICR, EHR, HIE, SNOMED CT, Healthcare Interoperability, Public Health Surveillance, Data Pipelines, Business Requirements, Technical Documentation
