Data Engineering Manager

What You’ll Do:

Technical & Architectural Leadership 

• Architect and evolve Fusion’s enterprise data environment — spanning operational databases, analytics warehouses, and reporting systems. 
• Lead modernization efforts from legacy ETL to ELT and real-time streaming pipelines in Azure. 
• Oversee development and optimization of SQL Server databases, ensuring high performance, availability, and compliance. 
• Collaborate with software engineers to embed data quality and telemetry into Fusion’s application and API ecosystem. 

Interoperability & EDI Integration 

• Lead a team of EDI and interface engineers responsible for HL7, FHIR, and API-based integrations. 
• Oversee implementation and maintenance of Mirth Connect (NextGen) interfaces to enable secure, reliable data exchange with external systems. 
• Define standards for interface versioning, error handling, and monitoring to ensure stability and traceability across clinical integrations. 

Data Analytics & Visualization 

• Lead Fusion’s interoperability efforts through the design and management of HL7 v2.x, FHIR, CCD, and other healthcare data exchange standards. 
• Oversee a team of EDI and interface engineers maintaining Mirth Connect (NextGen) channels for inbound and outbound data feeds. 
• Design and optimize message processing workflows, transformations, and routing logic to ensure secure and reliable data movement between internal systems and external partners. 
• Collaborate with EMR/EHR vendors, state registries, labs, and pharmacy networks to maintain compliant data exchange interfaces. 
• Implement proactive monitoring, version control, and auditing for interface stability and traceability. 
• Drive strategy for API-based integrations (RESTful and JSON/XML), supporting modern interoperability frameworks and real-time data sharing. 
• Stay current with evolving standards (e.g., USCDI, TEFCA) and apply them to Fusion’s interoperability roadmap. 

Governance, Quality & Compliance 

• Establish data governance practices that ensure accuracy, lineage, and compliance (HIPAA, CJIS, SOC 2). 
• Partner with business functions to align data models, definitions, and usage standards across teams. 
• Implement and oversee metadata management, cataloging, and stewardship programs. 

Leadership & Collaboration 

• Lead and develop a high-performing cross-functional data team through mentorship, technical guidance, and coaching. 
• Drive collaboration across engineering, product, QA, and infrastructure to ensure end-to-end data reliability and integration. 
• Translate complex technical concepts into clear business outcomes, ensuring alignment with Fusion’s mission and client impact. 

Who You Are:

• A data-focused technical leader with 5–7+ years of experience in data engineering, architecture, or informatics, and at least 2 years managing cross-functional teams. 
• Experienced in leading hybrid teams of software engineers, data analysts, database administrators, and EDI/interface engineers. 
• Skilled in designing and maintaining data pipelines, warehouses, and integration systems using modern cloud platforms (Azure Data Factory, Synapse, Databricks). 
• Proficient in SQL Server administration, tuning, and optimization for high-volume production environments. 
• Knowledgeable in healthcare interoperability standards (HL7, FHIR, CCD) and tools (Mirth Connect, API gateways). 
• Comfortable managing data architecture, governance, and analytics enablement across both operational and strategic layers. 
• A mentor and communicator who builds trust, promotes craftsmanship, and connects engineering execution to business value. 

Required Experience:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Experience architecting, developing, and maintaining complex backend systems using C# across different versions of .NET.  
• Proficient in designing, optimizing, and troubleshooting relational data models. You understand stored procedures, indexing strategies, and the nuances of operating databases in production environments. 
• A data and integration leader with 5–7+ years of experience in data engineering, interoperability, or informatics, including 2+ years managing multidisciplinary teams. 
• Experienced in healthcare interoperability standards — HL7 v2.x, FHIR, CCD, X12 EDI — and familiar with clinical workflows and data exchange patterns. 
• Hands-on experience managing Mirth Connect (NextGen) or equivalent interface engines, including channel configuration, transformations, and scripting (JavaScript, Groovy). 
• Deep understanding of SQL Server performance optimization, stored procedures, partitioning, and security. 
• Skilled in Azure cloud data tools, ETL/ELT frameworks, and modern integration design. 
• Knowledgeable in API design, RESTful integration, and event-driven data exchange. 
• A strong communicator who bridges the gap between business and technical stakeholders, translating data complexity into clear strategy and value. 
• Passionate about using healthcare data to improve care delivery, patient outcomes, and system efficiency. 

Preferred Experience:

• Experience leveraging monitoring tools, such as Datadog or New Relic, to identify and rectify application performance bottlenecks. 
• Familiarity with tools like Bicep or Terraform for managing cloud infrastructure in a scalable, version-controlled way. 
• Working knowledge of frontend software engineering principles using Angular and Node.js, including component architecture, state management and modular design.

Additional Details:

• This is a hybrid position located in our Woodbridge NJ office location.
• Fusion is an equal opportunity employer and values diversity in all its forms.
• Applicants must be authorized to work in the U.S.; this role is not currently eligible for sponsorship.

Compensation:

• Salary Range: $140,000 – $170,000
• At Fusion, our salary ranges are designed to be competitive within our size and industry. Compensation is just one component of a comprehensive total rewards package that also includes benefits, flexibility, and growth opportunities.
• Individual pay decisions are informed by several factors, including location, experience, qualifications, skillset, and internal equity across the organization. While we expect most offers to fall within the stated range, each compensation decision is made thoughtfully, with consideration for both the candidate’s unique profile and our commitment to pay parity.