
Sr. Data Engineer (Hybrid or Remote)
Mashura, Scottsdale, AZ, United States
Senior Data Engineer
Location: Remote
Salary: $165,000 - $190,000 depending on experience
Reports To: CTO
About Mashura
Mashura is building modern software and connected device solutions that support medical dispensing workflows across veterinary and dental practices. Our platform spans cloud services, APIs, modern web applications, and IoT-connected systems deployed globally.
About the Role
We are seeking a Senior Data Engineer to help shape and scale our modern data platform built on Microsoft Fabric. We have established the foundation of a lakehouse architecture, ingesting device and SaaS application data from thousands of medical dispensing cabinets deployed globally. The next phase is expanding and hardening this platform to support:
Product intelligence and AI-driven insights
Customer-facing analytics and reporting
Internal operational efficiency and automation
Scalable, trustworthy enterprise data models
This role is both strategic and hands-on. You will design, build, and optimize scalable data pipelines and semantic models while helping define the future of our analytics and AI capabilities.
Key Responsibilities
Architect and build scalable data pipelines using Microsoft Fabric and PySpark
Design and evolve our lakehouse architecture
Develop robust semantic models and analytics-ready datasets
Implement data quality validation, monitoring, and observability practices
Optimize performance and cost efficiency across Fabric workloads
Collaborate with backend engineers to define event schemas and data contracts
Enable product intelligence initiatives, including AI/ML experimentation
Contribute to data governance and security best practices
Required Qualifications
5+ years of professional experience in data engineering or analytics engineering
Hands-on experience with Microsoft Fabric (lakehouse, pipelines, notebooks, semantic models)
Strong experience with PySpark and distributed data processing
Deep understanding of modern data architectures (lakehouse, medallion patterns)
Experience designing scalable ETL/ELT pipelines
Strong SQL skills and data modeling expertise
Experience working with event-driven or streaming data systems
Strong collaboration and communication skills
Comfortable working cross-functionally with engineering, product, and business teams
Preferred Qualifications
Experience with IoT or device-generated data
Experience integrating operational systems (SaaS platforms, APIs) into analytics environments
Familiarity with Azure services (Event Hubs, Cosmos DB, Azure SQL)
Exposure to AI/ML workflows and feature engineering
Experience implementing data governance and lineage tooling
Equal Employment Opportunity Statement Mashura LLC is an Equal Opportunity Employer. We are committed to a workplace free of discrimination and harassment and make employment decisions on the basis of merit. Mashura LLC prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, national origin, ancestry, age, physical or mental disability, genetic information, marital status, veteran or military status, or any other characteristic protected by federal, state, or local law.
In addition to federal law requirements, Mashura LLC complies with applicable state and local laws governing nondiscrimination in employment. We also provide reasonable accommodation for qualified individuals with disabilities and for religious practices, in accordance with the Americans with Disabilities Act (ADA) and other applicable laws.
Location: Remote
Salary: $165,000 - $190,000 depending on experience
Reports To: CTO
About Mashura
Mashura is building modern software and connected device solutions that support medical dispensing workflows across veterinary and dental practices. Our platform spans cloud services, APIs, modern web applications, and IoT-connected systems deployed globally.
About the Role
We are seeking a Senior Data Engineer to help shape and scale our modern data platform built on Microsoft Fabric. We have established the foundation of a lakehouse architecture, ingesting device and SaaS application data from thousands of medical dispensing cabinets deployed globally. The next phase is expanding and hardening this platform to support:
Product intelligence and AI-driven insights
Customer-facing analytics and reporting
Internal operational efficiency and automation
Scalable, trustworthy enterprise data models
This role is both strategic and hands-on. You will design, build, and optimize scalable data pipelines and semantic models while helping define the future of our analytics and AI capabilities.
Key Responsibilities
Architect and build scalable data pipelines using Microsoft Fabric and PySpark
Design and evolve our lakehouse architecture
Develop robust semantic models and analytics-ready datasets
Implement data quality validation, monitoring, and observability practices
Optimize performance and cost efficiency across Fabric workloads
Collaborate with backend engineers to define event schemas and data contracts
Enable product intelligence initiatives, including AI/ML experimentation
Contribute to data governance and security best practices
Required Qualifications
5+ years of professional experience in data engineering or analytics engineering
Hands-on experience with Microsoft Fabric (lakehouse, pipelines, notebooks, semantic models)
Strong experience with PySpark and distributed data processing
Deep understanding of modern data architectures (lakehouse, medallion patterns)
Experience designing scalable ETL/ELT pipelines
Strong SQL skills and data modeling expertise
Experience working with event-driven or streaming data systems
Strong collaboration and communication skills
Comfortable working cross-functionally with engineering, product, and business teams
Preferred Qualifications
Experience with IoT or device-generated data
Experience integrating operational systems (SaaS platforms, APIs) into analytics environments
Familiarity with Azure services (Event Hubs, Cosmos DB, Azure SQL)
Exposure to AI/ML workflows and feature engineering
Experience implementing data governance and lineage tooling
Equal Employment Opportunity Statement Mashura LLC is an Equal Opportunity Employer. We are committed to a workplace free of discrimination and harassment and make employment decisions on the basis of merit. Mashura LLC prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, national origin, ancestry, age, physical or mental disability, genetic information, marital status, veteran or military status, or any other characteristic protected by federal, state, or local law.
In addition to federal law requirements, Mashura LLC complies with applicable state and local laws governing nondiscrimination in employment. We also provide reasonable accommodation for qualified individuals with disabilities and for religious practices, in accordance with the Americans with Disabilities Act (ADA) and other applicable laws.