Data Engineer (Azure/Power BI)

Job Description

Job Title: Data Engineer (Azure/Power BI)

Location: Scottsdale, AZ (Onsite, must be willing to relocate to Phoenix, AZ to be considered),

Salary: $80K to $130K

Must be authorized to work in USA, No visa sponsorship available!

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. Experience with Power BI to build small to mid-level visualizations. 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

Data Visualizations

· Small to mid-level reports and dashboard development (requirements gathering, design, code, test, and deploy) using Power BI and Azure SQL

· Work with external consultants on large Power BI projects

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 Power BI dashboard development (DAX, Power Query, measures and calculations, bookmarks, drill-throughs, row-level security, dataflows, paginated reports)

· 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

· 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.

Salary: $80,000- $130,000

Benefits:

401(k)

Dental insurance

Health insurance

Life insurance

Paid time off

Vision insurance

Schedule: Monday - Friday 8-5 pm

Work location: Scottsdale, AZ (in-person)

Full-time