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Analytics Engineer

AI-powered healthcare company focused on pain management, serving 25,000+ enterprise clients across three continents with a $4 billion valuation.
Portugal
$34,123 - $53,622
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 revolutionizing pain management through AI-powered solutions. As an Analytics Engineer in the AI Data Foundations team, you'll play a crucial role in making company data AI-ready and building internal AI solutions. The position offers an opportunity to work with a team of 1000+ professionals across three continents, focusing on freeing two billion people from pain.

The role combines technical expertise in data modeling, SQL, and Python with the exciting challenge of enabling AI systems. You'll be responsible for designing and implementing data structures that power internal AI assistants, ensuring data quality, and creating semantic layers that bridge business needs with AI capabilities. The position requires both technical proficiency and strong communication skills, as you'll work across data, product, and engineering teams.

Working at Sword Health means joining a company with impressive metrics - 67% of members achieving pain-free life and a 70% reduction in surgery intent. The company holds the majority of industry patents and has raised over $400 million from top venture firms. As a Forbes Best Startup Employer, Sword Health offers a flexible remote work environment, comprehensive benefits, and the chance to make a significant impact on global healthcare.

The ideal candidate will bring 3+ years of analytics/data engineering experience, strong SQL and Python skills, and a deep understanding of data modeling best practices. Experience with AI systems, particularly LLM-based solutions, would be highly valuable. The role offers competitive compensation, including equity, and the opportunity to work on meaningful healthcare solutions while maintaining work-life balance.

Last updated 17 hours ago

Responsibilities For Analytics Engineer

  • Model core business domains into clear, documented star schemas with stable names, units, and time grains
  • Design an LLM-friendly semantic layer
  • Publish AI-safe consumption views/endpoints
  • Implement data quality & observability with tests/monitors and alerts
  • Use Python to automate data quality checks and integrate new data sources
  • Contribute to workflow automation
  • Partner with stakeholders to unlock high-value internal questions
  • Create documentation and enablement materials

Requirements For Analytics Engineer

Python
  • 3+ years of experience in analytics/data engineering
  • Strong command of SQL and experience building data models
  • Solid understanding of data modeling best practices
  • Proficiency in Python for data tasks
  • Familiarity with AI-safe data modeling
  • Excellent written communication skills

Benefits For Analytics Engineer

Dental Insurance
Medical Insurance
Vision Insurance
Equity
  • Health, dental and vision insurance
  • Meal allowance
  • Equity shares
  • Remote work allowance
  • Flexible working hours
  • Work from home
  • Discretionary vacation
  • Snacks and beverages
  • English class

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