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Data Operations Engineer

AI-powered healthcare company focused on freeing people from pain, serving 25,000+ enterprise clients across three continents.
United States
$109,577 - $172,193
Data
Mid-Level Software Engineer
Remote
501 - 1,000 Employees
3+ years of experience
Healthcare · AI

Job Description

Sword Health, a rapidly growing healthcare technology company valued at $4 billion, is seeking a Data Operations Engineer to join their mission of freeing two billion people from pain. The company has demonstrated impressive results with 67% of members achieving pain-free life and a 70% reduction in surgery intent, serving 25,000+ enterprise clients across three continents.

The role focuses on building and maintaining data pipelines that process large volumes of healthcare data, requiring expertise in ETL processes, data validation, and HIPAA compliance. The ideal candidate will work with eligibility, medical claims, and pharmacy data, implementing automated validation rules and monitoring systems to ensure data quality and integrity.

Key responsibilities include developing ETL pipelines, implementing data validation rules, setting up monitoring systems, and collaborating with cross-functional teams. The position requires strong SQL skills, understanding of secure transport protocols, and experience with healthcare data structures.

The company offers a comprehensive benefits package including health insurance, equity shares, unlimited PTO, and a flexible remote work environment. As a Forbes Best Startup Employer, Sword Health provides an opportunity to make a significant impact in healthcare while working with a talented team of 1000+ professionals across three continents.

This role is perfect for a detail-oriented professional with 3+ years of experience in data operations who is passionate about healthcare innovation and comfortable working in a fast-paced, high-growth environment. The position offers competitive compensation ranging from $109,577 to $172,193 annually, including base salary, variable compensation, and equity.

Last updated 9 days ago

Responsibilities For Data Operations Engineer

  • Build and maintain ETL pipelines for processing large volumes of healthcare data
  • Implement automated data validation rules to ensure data quality and integrity
  • Set up monitoring and alerting systems for processing failures and data anomalies
  • Clean, validate, merge, and enrich data from various sources
  • Handle Protected Health Information within HIPAA frameworks
  • Collaborate with cross-functional teams for requirements gathering and validation

Requirements For Data Operations Engineer

  • In-depth knowledge of eligibility, medical claims, pharmacy claims, and prior authorization data
  • Competence in handling PHI within HIPAA frameworks
  • Proven experience with SQL queries
  • Knowledge of secure transport protocols (SFTP) and data encryption
  • Strong understanding of ETL processes
  • Cross-functional collaboration skills
  • Technical communication abilities
  • Detail-oriented and process-driven mindset
  • Experience in fast-moving high growth environment

Benefits For Data Operations Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
Equity
Parental Leave
  • Comprehensive health, dental and vision insurance
  • Life and AD&D Insurance
  • Financial advisory services
  • Health Savings Account
  • Equity shares
  • Unlimited PTO
  • Parental leave
  • 401(k)
  • Flexible working hours
  • Remote-first company
  • Paid company holidays
  • Free digital therapist for employee and family

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