Lead Data Engineer (Healthcare Interoperability)

Location: Remote

Salary: USD 140,000–160,000

Company

hirify.global provides healthcare technology solutions centered on data infrastructure, interoperability, and secure exchange of healthcare information.

What you will do

• Design, build, and maintain scalable Azure data architectures supporting business intelligence, analytics, and operational systems.
• Develop data pipelines, ETL/ELT processes, transformation logic, orchestration workflows, and event-driven solutions using Azure Data Factory, Synapse, Service Bus, Event Grid, and related services.
• Design and optimize databases, data models, storage strategies, stored procedures, functions, triggers, views, indexes, and queries across Azure SQL, SQL Server, PostgreSQL, CosmosDB, Blob Storage, and Data Lake.
• Build REST APIs and background workers in Python with FastAPI or Flask, integrate external APIs, and support Azure Container Apps or Functions.
• Ensure data quality, lineage, integrity, security, auditability, and HIPAA/HITRUST compliance for PHI data, including database lifecycle and DevOps processes.
• Provide technical leadership and mentorship, participate in architecture reviews, troubleshoot production issues, collaborate with DevOps and Infrastructure teams, and participate in on-call rotation as needed.

Requirements

• Bachelor's degree in computer science, Information Systems, Data Engineering, or a related field, or equivalent work experience.
• 8+ years of experience in data engineering, database development, or related roles.
• Expert-level proficiency in T-SQL, Microsoft SQL Server, and Python.
• Experience building REST APIs and background workers with FastAPI or Flask, plus understanding of event-driven architectures and asynchronous processing.
• Strong experience with Azure data services, including Azure SQL, Data Factory, Synapse, Blob Storage, and related services, as well as hands-on data pipeline and ETL/ELT development.
• Power BI development skills, including DAX, data modeling, semantic models, reports, dashboards, and performance optimization.
• Strong understanding of database design, normalization, data modeling, data governance, cataloging, metadata management, and data quality.
• Experience with Git, CI/CD, Azure DevOps or similar platforms, database DevOps, and Infrastructure as Code using Terraform, Bicep, or ARM templates.
• Knowledge of additional Azure services, including Container Apps, Functions, Logic Apps, API Management, and private networking patterns; experience with PostgreSQL and CosmosDB.
• Understanding of HIPAA/HITRUST requirements, healthcare technology or regulated industries, PowerShell automation, OpenAPI/Swagger design, API versioning, and contract testing.
• Proficient use of advanced AI development tooling such as Claude Code or GitHub Copilot.
• Strong analytical, problem-solving, written communication, verbal communication, independent working, and collaboration skills.
• Microsoft certification such as Azure Data Engineer Associate, Azure Database Administrator, or Power BI Data Analyst.
• Availability to travel up to 15%.

Nice to have

• Practical experience with FHIR resources, search parameters, OAuth2/SMART on FHIR, and C-CDA parsing or transformation.
• Experience integrating with Epic, Cerner, Athena, or other EHR/EMR systems.
• Experience with HL7 v2, including MLLP, MDM, ADT, message parsing, and acknowledgment handling.
• Experience leading document templating frameworks and server-side HTML-to-PDF rendering pipelines with accessibility and compliance requirements.

Culture & Benefits

• Remote work environment within the IT / Technical Support department.
• Technical leadership, mentorship, architecture reviews, and collaboration with engineering, DevOps, Infrastructure, and cross-functional teams.
• Participation in an on-call rotation as needed.