Full-Time Senior Data Engineer - US (Remote)

Theoria Medical•Novi, MI

4h•Remote

About The Position

We’re looking for a Senior Software Engineer responsible for designing, building, and maintaining scalable, reliable data pipelines and data platforms that support enterprise analytics and reporting across the organization. This role will partner closely with analytics, data science, and business teams to ensure healthcare data is well-modeled, governed, and readily available for downstream use. The ideal candidate has deep experience with modern data engineering tools, strong data modeling expertise, and a solid understanding of healthcare data.

Requirements

5+ years of experience as a Data Engineer, Senior Data Engineer, or similar role
Strong experience with Microsoft Fabric (e.g., Lakehouse, Data Warehouse, pipelines, notebooks)
Hands-on experience with Apache Airflow for workflow orchestration and scheduling
Experience working with MongoDB and integrating NoSQL data sources into analytical platforms
Strong SQL skills and experience building performant analytical queries and transformations
Deep understanding of data modeling concepts, including fact and dimension tables
Practical experience implementing Medallion architecture in a data lake or lakehouse environment
Experience working with healthcare data (e.g., EHR/EMR, claims, clinical, revenue cycle, or operational data)
Strong understanding of data engineering best practices around scalability, reliability, and maintainability

Nice To Haves

Experience in a healthcare provider, payer, or health technology organization
Familiarity with HIPAA and healthcare data privacy and security requirements
Experience with CI/CD for data pipelines and infrastructure-as-code concepts
Exposure to streaming or near–real-time data processing
Experience supporting enterprise BI platforms such as Power BI

Responsibilities

Design, build, and maintain scalable data pipelines using Microsoft Fabric and Apache Airflow
Ingest, transform, and integrate data from a variety of sources, including relational systems, APIs, and MongoDB
Implement and manage data solutions aligned to Medallion architecture principles (Bronze, Silver, Gold)
Design and maintain analytical data models, including fact and dimension tables, to support reporting and analytics
Optimize data storage, performance, and reliability across lakehouse and warehouse environments
Ensure data quality, observability, and lineage through validation, monitoring, and documentation
Collaborate with data analysts and BI developers to enable performant, well-modeled datasets for Power BI
Partner with clinical, operational, and technical stakeholders to understand data requirements and constraints
Support data governance, security, and compliance efforts, including HIPAA-related controls
Mentor junior data engineers and contribute to engineering standards and best practices