Job Title: Data Engineer (Azure)

Location: US-Fully Remote

MUST BE A US CITIZEN OR HAVE A GREEN CARD. We do not sponsor.

Company Overview: Savas Health is a leading provider of transdisciplinary pain management patient care and is launching electronic health record (EHR) software focused on coordinating multidisciplinary care. We are committed to providing exceptional patient care and dedicated to improving healthcare delivery through innovative technology.

Position Overview: We are seeking a Data Engineer to develop, optimize, and maintain data pipelines that collect, process, and analyze data from various sources. The ideal candidate will have extensive experience working with Azure Data Factory and Azure SQL Server. You will play a key role in ensuring our data infrastructure scales seamlessly as we expand, while maintaining strict compliance with healthcare regulations like HIPAA.

Key Responsibilities: Data Integration

Data Pipeline Development: design, build and maintain scalable, automated data pipelines to enable Reporting, Data Visualization, Advanced Analytics, and Machine Learning solutions.
Data Integration: integrate structured and unstructured data from multiple sources, including databases, APIs, flat files, and third-party vendors, into centralized data lake and data warehouse. Write high-performance SQL queries to extract, transform, and load data from various sources
Data Quality: Implement data validation, cleansing, and monitoring processes to ensure the accuracy, consistency, and completeness of healthcare data

Database Optimization

Assist development teams on level 3 DB work (new project DB design and architecture, review and approve PRs for DB code, maintain Dev/Test environments)
Drive performance optimization initiatives, including indexing strategies, query tuning, and schema and data model optimizations
Collaborate and partner with development teams to standardize DB Tools (e.g. SSDT) and implement version and source control for DB code

Production Support

Assist with production support for Azure SQL and Azure Data Factory infrastructure including monitoring, performance tuning, security and backup/recovery
Implement high-availability and disaster recovery solutions

Qualifications

4 years’ experience data pipeline (ETL/ELT) development using Azure Data Factory and Azure Cloud data technologies.
4 years’ experience with Azure SQL (or SQL Server) including design, development, implementation, maintenance and performance monitoring of database instances.
Proven expertise in SQL query optimization, performance tuning, indexing strategies, and schema design.
Experience with production support (monitoring, security, backup/recovery)

Preferred Skills

Experience implementing HA/DR solutions for Azure SQL Databases
Knowledge and understanding of Microsoft Entra, RBAC and encryption models for data security and access controls
Experience with SSDT (SQL Server Data Tools) and implementing versioning control for DB code
Knowledge of data modeling and data warehousing, familiarity with Azure Synapse Analytics or Fabric
Experience with Python and Azure Functions for data processing and manipulation

What Sets Us Apart: Our team is mission-driven and united by a common purpose: healing humanity through a revolutionary transdisciplinary model. The model addresses the quadruple aim of healthcare: enhancing patient experience, improving patient health, reducing healthcare costs, and increasing employee satisfaction. We thrive on collaboration, and each member is a self-starter, empowered to unblock themselves and move forward with confidence. If you are passionate about impacting healthcare, enjoy taking initiative, and are comfortable with ambiguity, you’ll find a great fit with us.

Savas Management Center LLC

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Data Engineer (Azure)