Senior Data Engineer

Expleo•Minneapolis, MN

1d•$64 - $74•Remote

About The Position

Trissential is hiring a Senior Data Engineer to join their client’s Next Gen Data Architecture team. This is a high‑impact opportunity where expertise in Microsoft Fabric will directly support the integration of Cogito Cloud, enabling trusted analytics and data‑driven healthcare outcomes. The role involves architecting data platforms, optimizing pipelines, and mentoring others while working with cutting‑edge Microsoft technologies. The Senior Data Engineer will play a critical role in preparing and deploying Microsoft Fabric infrastructure that supports enterprise‑wide healthcare analytics, work hands‑on with Microsoft Fabric, Lakehouse architecture, Delta Lake, and medallion design patterns, and partner closely with architects, analysts, and platform stakeholders across teams. The role also offers professional growth opportunities to deepen expertise in Fabric, data governance, and large‑scale data platform design, and contribute to data solutions that support research, analytics, and improved healthcare delivery.

Requirements

5+ years of experience in data engineering or data platform development
Hands‑on experience with Microsoft Fabric (required), including: Lakehouse architecture, Fabric Data Factory pipelines, Dataflows Gen2, Warehousing and SQL endpoints
Advanced proficiency in SQL
Strong experience with Python and/or PySpark
Experience building and optimizing ETL/ELT pipelines
Solid understanding of Delta Lake and parquet‑based storage
Experience with Azure data services (ADLS, Synapse, Azure SQL)
Familiarity with CI/CD and DevOps practices (Azure DevOps, Git)
Bachelor’s degree in Computer Science, Information Technology, or a related field OR Equivalent professional experience (5+ years) in data engineering or platform development
Authorized to work in the United States

Nice To Haves

Power BI semantic models or dataset development experience
Real‑time analytics experience within Microsoft Fabric
Exposure to data cataloging, lineage, or certification tools
Experience supporting downstream analytics or AI/ML use cases
Knowledge of healthcare data governance or HIPAA concepts

Responsibilities

Prepare and configure Microsoft Fabric to support integration with Cogito Cloud
Design, build, and deploy scalable data pipelines, transformations, and platform components within Fabric
Implement robust ETL/ELT processes using batch and streaming ingestion patterns
Apply medallion architecture (Bronze, Silver, Gold) and optimize Lakehouse data models for performance
Support data validation, lineage, certification, and governance to ensure trusted data delivery
Partner with stakeholders on integration, testing, and go‑live readiness
Document functional and technical specifications clearly and thoroughly
Mentor junior engineers and promote best practices across the team
Explore new Fabric features and recommend enhancements to the platform