Note: The job is a remote job and is open to candidates in USA. Hansei Solutions is seeking a Senior Data Engineer to build and maintain its data infrastructure. The role owns end-to-end Microsoft Fabric data pipelines, leads REST API integrations with healthcare systems, translates stakeholder requirements into technical solutions, and delivers production-quality work autonomously.

Responsibilities

• Design, build, and maintain scalable data pipelines within Microsoft Fabric (Lakehouse, Data Factory, Synapse Analytics, Power BI datasets)
• Ensure data accuracy, consistency, and integrity across all pipeline outputs
• Proactively identify performance bottlenecks, data quality issues, and architectural improvements
• 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
• Collaborate with program management, product, and operations teams to surface the right data at the right time
• Document work clearly so the team can build on it
• Manage own workload, prioritize effectively, and communicate progress and blockers without being prompted

Skills

• • Strong proficiency in SQL and Python
• • 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
• • Self-directed: manages own queue, asks smart questions, and doesn't wait to be told what to do next
• • Excellent communication skills — able to explain technical decisions to non-technical stakeholders clearly and concisely
• • Experience with cloud-based data platforms, modern data warehouse technologies, and Medallion architecture
• • Experience with complex DAX language and ability to simplify joins and/or migrate into semantic models
• • 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
• • Ability to mentor data engineers to produce high-quality work that is both precise and quick to deliver
• • Ability to translate business requirements into technical requirements and envision the final product
• • 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
• • A track record of delivering accurate, production-quality work under real timelines
• • 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
• • Comfort working in a high-growth, startup-adjacent environment where priorities can shift quickly
• • Relevant cloud, database, or data engineering certifications
• • Experience in healthcare, RCM, or a similarly regulated, data-intensive industry

Benefits

• 100% remote first company to foster flexibility, inclusivity, and autonomy.
• Performance-based increases.
• Comprehensive health insurance plans.
• Retirement savings plan (401(k)) with employer matching.
• Responsible PTO and holidays.
• Professional development opportunities.
• Collaborative and supportive work environment.
• Recognized as a Great Place to Work by our employees.

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