Senior Healthcare Data Engineer

ASSYST; Austin (TX); Hybrid; USD 150,000 - 190,000; Full time

Job summary

ASSYST is seeking an experienced Senior Healthcare Data Engineer in Austin, TX to lead system integration, automation, and data modernization for eICR ingestion and related workflows.

The role involves translating epidemiological requirements into technical specs, building automated ETL pipelines with SAS, Python, R, or SQL, and delivering dashboards that track ingestion, data quality, and processing performance in a healthcare data environment.

Qualifications

• 8+ years in scripting and statistical programming with SAS, Python, R, or comparable languages.
• 8+ years in system integration and automation, building automated interoperability workflows and dashboards.
• 8+ years in health and database systems, querying and managing healthcare datasets using SQL.
• 8+ years in system requirements and technical analysis, translating needs into formal specs and reports.
• 8+ years in data validation and quality assurance, testing and auditing automated pipelines.
• 8+ years in technical documentation and communication, explaining complex concepts to non-technical staff.

Responsibilities

• Conduct needs assessment to determine requirements for TBIRDS to ingest eICRs and auto-populate registry fields.
• Translate workflows into technical specs, data dictionaries, and architectural recommendations.
• Produce System Requirements Documents (SRD) and integration runbooks for long-term sustainability.
• Design, build, test, and maintain automated data pipelines for EHR data feeds.
• Create automated rules for data linking, deduplication, and cross-database integration.
• Automate clinical review workflows to triage and route case alerts.

Skills

Scripting & Statistical Programming

System Integration

Health & Database Systems

System Requirements & Technical

Data Validation & QA

Technical Documentation & Communic

Tools

SAS

Python

R

SQL

Job description

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 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