Hybrid Healthcare Data Engineer — Automation & Analytics

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

Job summary

ASSYST, Inc. seeks an experienced Senior Healthcare Data Engineer to lead system integration, automation, and data modernization for eICR ingestion and registry field auto-population in Austin (Hybrid).

The role collaborates with epidemiologists, clinical abstractors, and DB architects to build automated workflows that extract, validate, and integrate complex clinical and public health data into active surveillance systems.

Qualifications

• 8+ years in scripting, programming, testing, maintenance, and troubleshooting using SAS, Python, R, or similar languages.
• 8+ years in system integration and automation, building automated interoperability workflows and dashboards.
• 8+ years in health and database systems, querying and managing complex healthcare datasets with relational databases.
• 8+ years in system requirements and technical analysis, translating needs into formal specs and system reports.
• 8+ years in data validation and quality assurance, auditing automated data pipelines.
• 8+ years in technical documentation and communication, documenting scripts, schemas, and data flows clearly.

Responsibilities

• Lead evaluation of business requirements for eICR ingestion and auto-population of registry fields.
• Translate epidemiological workflows into technical specs and architectural recommendations.
• Produce SRDs and integration runbooks for long-term solution sustainability.
• Build automated data pipelines to extract, ingest, and process high-volume EHR data feeds.
• Create automated rules for record linkage, deduplication, and cross-database integration.
• Automate clinical review workflows to triage alerts and reduce abstraction lag.
• Develop dashboards monitoring ingestion volumes, data completeness, bottlenecks, and errors.
• Present system metrics to leadership and technical teams.
• Establish testing frameworks (unit, integration, regression) for pipeline reliability.
• Ensure transformations preserve semantic meaning across clinical terminologies and standards.
• Troubleshoot scripts, parse anomalies, and optimize throughput.
• Maintain end-to-end documentation of scripts, schemas, and ETL processes.
• Coordinate with researchers, IT, and external partners for modernization.

Skills

Scripting & Statistical Programming

System Integration & Automation

Health & Database Systems

System Requirements & Technical Analys

Data Validation & Quality Assurance

Technical Documentation & Comm

Tools

SAS

Python

R

SQL

Job description

ASSYST, Inc. seeks an experienced Senior Healthcare Data Engineer to lead system integration, automation, and data modernization for eICR ingestion and registry field auto-population in Austin (Hybrid).

The role collaborates with epidemiologists, clinical abstractors, and DB architects to build automated workflows that extract, validate, and integrate complex clinical and public health data into active surveillance systems.