Sr. Data Engineer (Hybrid or Remote)

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

Originally posted on Himalayas