Title: Manager, Data Engineering
Location: Remote (U.S.)
Department: Technology & Data
Reports To: Chief Technology Officer
About Hansei Solutions
Hansei Solutions is the #1 ranked revenue cycle management company for behavioral health and substance use disorder treatment centers. We empower providers with intelligent, data-driven technology platforms to solve revenue management challenges, inform business decisions, and accelerate growth. Our proprietary solutions, including Hansei Insights, leverage AI and automation to deliver superior scalability and transparency.
Position Summary
The Manager, Data Engineering will lead a team responsible for building and optimizing data pipelines, ensuring data integrity, and enabling advanced analytics across Hansei’s technology ecosystem. This role is critical to supporting our AI-driven automation initiatives and delivering actionable insights for internal teams and clients. As a Microsoft Azure and Power BI shop, this leader will ensure our data infrastructure and reporting solutions fully leverage the Microsoft ecosystem for scalability, security, and performance.
Key Responsibilities
- Team Leadership: Manage and mentor a team of data engineers, fostering a culture of innovation, accountability, and continuous improvement.
- Data Architecture: Design and maintain scalable, secure, and high-performance data architectures on Microsoft Azure to support analytics, reporting, and machine learning use cases.
- Pipeline Development: Oversee the development and optimization of ETL/ELT processes using Azure Data Factory, Synapse, and related services for ingesting, transforming, and delivering data from multiple sources (EMRs, payers, internal systems).
- Analytics Enablement: Partner with the Analytics team to deliver robust Power BI dashboards and data models that drive actionable insights for clients and internal stakeholders.
- Collaboration: Work closely with Product, Engineering, and Operations teams to define data requirements and deliver solutions aligned with business objectives.
- Data Governance: Implement best practices for data quality, security, and compliance (HIPAA, HITRUST).
- Performance Monitoring: Establish KPIs for data operations and ensure systems meet SLAs for availability and accuracy.
Qualifications
- Education: Bachelor’s degree in Computer Science, Data Engineering, or related field (Master’s preferred).
- Experience:
- 7+ years in data engineering roles, with at least 2 years in a leadership capacity.
- Proven experience with Microsoft Azure data services (Data Factory, Synapse, Azure SQL, Data Lake) and Power BI.
- Strong proficiency in SQL, Python, and data pipeline orchestration tools (Airflow, Prefect).
- Domain Knowledge: Familiarity with healthcare data standards (HL7, FHIR) and revenue cycle processes is a plus.
- Certifications: Microsoft Certified: Azure Data Engineer Associate or equivalent preferred.
Core Competencies
- Strategic thinking with a hands-on approach.
- Excellent communication and stakeholder management skills.
- Ability to thrive in a fast-paced, high-growth environment.
