Key skills
SQLPythonMicrosoft FabricSynapse AnalyticsAzure Data FactoryPower BI PremiumREST API integrationsData modelingETL/ELT design patternsData warehouse conceptsCloud-based data platformsMedallion architectureDAX languageData orchestrationCI/CD practicesEnterprise analyticsBusiness intelligenceData governanceData securityData complianceCloud certificationsDatabase certificationsData engineering certificationsETLELTData EngineeringAnalyticsBIBusiness IntelligencePower BIAzureREST APIAgileScrumCI/CDCommunication
About this role
Hansei Solutions is a high-growth behavioral healthcare revenue cycle management company committed to transforming how providers accelerate cash and improve uplift. They are seeking a Senior Data Engineer to build and maintain data infrastructure, manage end-to-end pipelines, and lead API integration work.
Responsibilities:
- Design, build, and maintain scalable data pipelines within Microsoft Fabric (Lakehouse, Data Factory, Synapse Analytics, Power BI datasets)
- Lead and execute API integrations with payer systems, EHR platforms, clearinghouses, and internal tools as we expand our connectivity footprint
- Translate business and operational requirements from stakeholders into clean, well-documented technical solutions
- Ensure data accuracy, consistency, and integrity across all pipeline outputs
- Collaborate with program management, product, and operations teams to surface the right data at the right time
- Proactively identify performance bottlenecks, data quality issues, and architectural improvements
- Document your work clearly so the team can build on it
- Manage your own workload, prioritize effectively, and communicate progress and blockers without being prompted
Requirements:
- 6+ years of experience in data engineering, with strong proficiency in SQL and Python
- Hands-on experience with Microsoft Fabric or a demonstrable ability to ramp quickly (Synapse, Azure Data Factory, Power BI Premium experience strongly considered)
- Proven experience building and maintaining REST API integrations in a production environment
- Strong grasp of data modeling, ETL/ELT design patterns, and data warehouse concepts
- Ability to work from high-level requirements and independently drive solutions to completion
- A track record of delivering accurate, production-quality work under real timelines
- Self-directed: you manage your own queue, ask smart questions, and don't wait to be told what to do next
- Excellent communication skills — you can explain technical decisions to non-technical stakeholders clearly and concisely
- Experience with cloud-based data platforms and modern data warehouse technologies and Medallion architecture
- Experience with complex DAX language with ability to simplify joins and/or migrate into semantic model
- Experience with data orchestration, automation, and CI/CD practices
- Experience supporting enterprise analytics and business intelligence initiatives
- Knowledge of data governance, security, and compliance best practices
- Relevant cloud, database, or data engineering certifications
- Mentor data engineers to produce high quality work that is both precise and quick to delivery
- Translate business requirements into technical requirements; ability to envision final product
- Experience in healthcare, RCM, or a similarly regulated, data-intensive industry
- Familiarity with HL7/FHIR standards or payer/clearinghouse API ecosystems
- Exposure to Agile or Scrum workflows (helpful, not a dealbreaker)
- Comfort working in a high-growth, startup-adjacent environment where priorities can shift quickly