Sword Health · 5 hours ago
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. The Data Operations Engineer will support the integration of clients into Sword’s solutions by preparing, validating, and maintaining data pipelines that process large volumes of healthcare data.
Artificial Intelligence (AI)Health CareMedicalmHealthTherapeutics
Responsibilities
Ensure the reliable operation of existing ETL pipelines by monitoring data flows, validating and reconciling data, identifying and resolving issues, and maintaining high standards of data quality across multiple healthcare data sources
Develop and maintain automated validation and cleansing rules to identify and resolve data quality issues such as missing data, mismatched fields, and invalid clinical or billing codes (e.g., ICD, CPT)
Configure and manage monitoring and alerting mechanisms to detect processing failures, latency issues, and data anomalies in near real time, and drive timely resolution
Lead root-cause analysis for data and pipeline issues, partnering with data engineering and upstream data providers to resolve defects and prevent recurrence
Work closely with data engineering, product, customer success, and operations teams to continuously improve data reliability, operational workflows, and documentation
Qualification
Required
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
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
Proven experience writing and optimizing SQL queries to extract, reconcile, and analyze large healthcare datasets in support of operational and data quality needs
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
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
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
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
Leverages AI tools or automation platforms to enhance data operations, detect anomalies, and streamline workflows
Preferred
Familiarity with data brokers (e.g. Availity, Change Healthcare) or EDI Transactions, especially 270/271 and 834 transactions
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
Company
Sword Health
Sword Health offers AI-powered physical therapy solutions for pain recovery at home.
Funding
Current Stage
Late StageTotal Funding
$493.47MKey Investors
General CatalystSapphire VenturesTransformation Capital
2025-06-17Series Unknown· $40M
2024-06-04Series E· $30M
2024-06-04Secondary Market· $100M
Recent News
2025-12-08
Mobihealthnews
2025-11-26
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