Data Operations Engineer

Sword Health is shifting healthcare from human-first to AI-first through its AI Care platform, making world-class healthcare available anytime, anywhere, while significantly reducing costs for payers, self-insured employers, national health systems, and other healthcare organizations.

Requirements

• Healthcare Data Expertise: Strong working knowledge of eligibility, medical claims, pharmacy claims, and prior authorization data, including how these datasets are structured, interpreted, and used across the healthcare ecosystem;
• Data Governance & Compliance: Experience handling Protected Health Information (PHI) in accordance with HIPAA and other applicable regulations, with a solid understanding of data governance, privacy, and security best practices;
• Data Querying & Analysis: Proven experience writing and optimizing SQL queries to extract, reconcile, and analyze large healthcare datasets in support of operational and data quality needs;
• Data Operations & Integration Knowledge: Working understanding of ETL processes, data integration workflows, secure data transport (e.g., SFTP), and data encryption, with a focus on operating and supporting existing data pipelines;
• Cross-Functional & External Collaboration: Comfortable partnering with data engineering, product, customer success, clinical operations, and external vendors or payers to validate requirements, clarify data definitions, support SLAs, and ensure timely, accurate data delivery;
• Operational Rigor & Problem Solving: Detail-oriented and process-driven, with a strong ability to diagnose issues, reconcile data discrepancies, document workflows, and propose process improvements that reduce recurring errors;
• Communication & Growth Mindset: Able to translate technical concepts for non-technical stakeholders while engaging deeply with engineers when needed; thrives in a fast-paced, high-growth environment and can manage multiple priorities effectively;
• AI & Automation Leverage: Leverages AI tools or automation platforms to enhance data operations, detect anomalies, and streamline workflows.
• Data Broker & EDI Exposure: Familiarity with data brokers (e.g. Availity, Change Healthcare) or EDI Transactions, especially 270/271 and 834 transactions;
• Professional Experience: 3-5 years of experience in a data-centric role.

Benefits

• Comprehensive health, dental and vision insurance
• Life and AD&D Insurance
• Financial advisory services
• Supplemental Insurance Benefits (Accident, Hospital and Critical Illness)
• Health Savings Account
• Equity shares
• Discretionary PTO plan
• Parental leave
• 401(k)
• Flexible working hours
• Remote-first company
• Paid company holidays
• Free digital therapist for you and your family

Tagged as: Data Analysis, SQL