Senior Healthcare Data Engineer: EHR Automation & Analytics

ASSYST, Inc.; Austin (TX); Hybrid; USD 140,000 - 180,000; Full time

Job summary

ASSYST, Inc. in Austin, TX, is seeking a Senior Healthcare Data Engineer to lead system integration, automation, and data modernization initiatives for our client in a hybrid Austin environment.

You will design auto-population mechanisms for registry fields, build automated data pipelines using SAS, Python, R, or SQL, and develop dashboards to monitor ingestion, data quality, and processing bottlenecks. Collaborating with epidemiologists, clinical abstractors, and DB architects, you will ensure

Qualifications

• 8+ Years in Scripting & Statistical Programming using SAS, Python, R, or similar
• 8+ Years in System Integration & Automation
• 8+ Years in Health & Database Systems with relational databases (SQL)
• 8+ Years in System Requirements & Technical Analysis
• 8+ Years in Data Validation & Quality Assurance
• 8+ Years in Technical Documentation & Communication

Responsibilities

• Lead system integration and data modernization initiatives for eICR ingestion and registry field auto-population.
• Design automated data pipelines to extract, ingest, and process high-volume EHR data feeds.
• Create automated rules for deterministic and probabilistic record linkage and data integration across relational databases.
• Automate clinical review workflows to streamline triage and routing of case alerts.
• Build and maintain dashboards tracking ingestion volumes, data completeness, bottlenecks, and transformation errors.
• Develop SRDs and runbooks to ensure long-term solution sustainability.
• Document scripts, schemas, data flows, and ETL procedures end-to-end.

Skills

SAS

Python

R

SQL

System Integration

Automation

Data Validation

Technical Documentation

Tools

EHR Data Feeds

HL7/FHIR

XML/JSON

SQL Databases

Job description

ASSYST, Inc. in Austin, TX, is seeking a Senior Healthcare Data Engineer to lead system integration, automation, and data modernization initiatives for our client in a hybrid Austin environment.

You will design auto-population mechanisms for registry fields, build automated data pipelines using SAS, Python, R, or SQL, and develop dashboards to monitor ingestion, data quality, and processing bottlenecks. Collaborating with epidemiologists, clinical abstractors, and DB architects, you will ensure