Overview
Skills
Job Details
Duties: Implement data pipelines using best practices for ETL / ELT, data management, and data governance. Analyze and process complex data sources in a fast-paced environment. Perform data modeling against large data sets for peak efficiency. Identify, design, and implement process improvement solutions that automate manual processes and leverage standard frameworks and methodologies. Understand and incorporate data quality principles that ensure optimal reliability, impact, and user experience. Partner across teams to support cross-platform operations. Create and document functional and technical specifications. Drive exploration of new features, versions, and related technologies, and provide recommendations to enhance our offerings. Mentor junior engineers within the team
Education: Bachelor's degree in Computer Science, Information Technology or related field; OR equivalent 5+ years of experience. 5+ years of hands-on experience programming in SQL. 3+ years of experience building and maintaining automated data pipelines and data assets using batch and/or streaming processes
Schedule Notes:
Scope: We are looking for an individual to join the Radiology Data and Analytics team in designing and implementing a Radiology data warehouse and analytics environment using Microsoft Fabric. Working collaboratively with internal engineers and analysts, the individual will contribute expertise in data architecture, pipeline development, and modeling to integrate institutional and Radiology data sources that support analytics, reporting, and AI initiatives.
Skills/Experience:
- Microsoft Fabric proficiency - hands-on experience with Data Warehouse, Data Pipelines (ETL/ELT), OneLake, Real-Time Analytics, and Power BI integration.
- Data modeling - strong understanding of dimensional/star schema and semantic model design to support reporting and analytics use cases.
- ETL/ELT pipeline development - experience orchestrating robust, parameterized, and testable data pipelines for ingestion, transformation, and curation using Fabric Data Pipelines or equivalent tools.
- Advanced SQL/T-SQL - expertise in query optimization, performance tuning, indexing, and complex data transformations.
- Programming/Scripting - proficiency in Python (or similar scripting language) for data wrangling, automation, and integration tasks.
- Proven ability to design scalable cloud data architectures aligned with institutional standards and security frameworks.
- Experience with metadata, lineage, and governance.
- Understanding of infrastructure-as-code and CI/CD principles for data deployment and version control (e.g., Git, Azure DevOps, Terraform).
- Experience working with clinical, imaging, or research data in a healthcare setting.
- Awareness of data privacy, security, and compliance requirements in healthcare (HIPAA, PHI handling, de-identification).
- Demonstrated success working as part of cross-functional teams, including IT, data science, and clinical stakeholders.
- Strong communication skills with both technical and non-technical audiences.
- Commitment to mentoring and knowledge sharing, helping build Radiology's internal capabilities in Microsoft Fabric and data engineering.
- Data engineering certifications or cloud certifications helpful, but not required.
100% remote - equipment will be provided
A request from Radiology to consider individuals that would be easy to hire into a client position if the candidate works well. There will be a position opening up in the next year that the individual could be a solid candidate to apply toward. (Potential for contract-to-hire)
Hours Per Day: 8.00
Hours Per Week 40.00
Pay rate: $60/hr on W2