Sr. Data Engineer (Hybrid or Remote)
About The Position
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.
Requirements
- 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
Nice To Haves
- 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
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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
