Data Engineer

Data Engineer -- Eligibility & Integrations (Microsoft Fabric)

Fully Remote Position

Overview

We are seeking a high-impact Data Engineer with deep expertise in eligibility and membership data to join a modern Data Engineering organization. This role will lead the design and delivery of scalable, high-quality data solutions within a Microsoft Fabric environment, supporting critical eligibility ingestion, validation, transformation, and downstream integrations.

This is a highly visible position operating at the intersection of data engineering, healthcare domain expertise, and analytics enablement. The ideal candidate brings strong technical depth, a sharp analytical mindset, and hands-on experience navigating the complexities of eligibility data—including contract/PBP structures, carve-outs, and exclusion logic.

What You'll Do

Eligibility Data Engineering

• Architect, build, and maintain robust pipelines for eligibility and membership data within Microsoft Fabric
• Ensure accurate, timely, and compliant data delivery for downstream integrations and analytics use cases
• Investigate and resolve data issues through root cause analysis across ingestion, transformation, and integration layers

Microsoft Fabric & Modern Data Platform

• Design and implement scalable solutions using Fabric Lakehouse and Warehouse architectures
• Develop end-to-end ETL/ELT pipelines leveraging Data Pipelines, Dataflows Gen2, SQL, and Python
• Utilize Notebooks (Python/PySpark) for advanced transformations, validation, and exploratory analysis
• Build and maintain conformed data models (fact/dimension tables) to support operational and analytical reporting
• Continuously improve performance, reliability, and observability across the data platform

Data Quality, Governance & Compliance

• Implement proactive data validation and quality frameworks to ensure integrity of eligibility data
• Maintain strict adherence to HIPAA-aligned data handling and security standards
• Establish governed, secure data access across teams and environments
• Produce clear documentation of business rules, mappings, and transformations to support auditability and transparency

Cross-Functional Collaboration

• Partner with Product, Integration, Operations, and Analytics teams to support critical business workflows
• Enable self-service analytics through well-structured Power BI semantic models
• Collaborate with engineering peers to standardize best practices and elevate platform maturity

What You Bring

• 5 years of experience in Data Engineering or a related field
• Advanced proficiency in SQL (complex transformations, optimization, performance tuning)
• Proven experience building pipelines and data models for healthcare eligibility or membership data
• Hands-on experience with Microsoft Fabric or closely related Azure-based data platforms
• Strong understanding of data integration patterns, ingestion frameworks, and system dependencies
• Demonstrated ability to analyze, troubleshoot, and resolve complex data issues across pipelines

Preferred Experience

Microsoft Fabric & Azure Ecosystem

• Fabric Lakehouse, Warehouse, Data Pipelines, Dataflows Gen2, OneLake
• Azure SQL / SQL Server, Azure Synapse, Azure Data Factory (or equivalent tools)

Analytics & Visualization

• Power BI (semantic modeling, DAX, data modeling best practices)

Healthcare Domain Expertise

• Eligibility and membership data structures
• Contract/PBP configuration
• Carve-outs, exclusions, and regulatory considerations

Engineering Best Practices

• Experience with CI/CD pipelines, version control, and environment promotion strategies for data workflows

Why This Role

This is an opportunity to play a key role in building a next-generation data platform that directly impacts business operations, compliance, and member experience. You'll work with modern tools, complex datasets, and cross-functional stakeholders to deliver data solutions that are both technically robust and business-critical.