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. Sword began by reinventing pain care with AI at its core, and has since expanded into women’s health, movement health, and more recently mental health. Since 2020, more than 700,000 members across three continents have completed 10 million AI sessions, helping Sword's 1,000+ enterprise clients avoid over $1 billion in unnecessary healthcare costs. Backed by 42 clinical studies and over 44 patents, Sword Health has raised more than $500 million from leading investors, including Khosla Ventures, General Catalyst, Transformation Capital, and Founders Fund. Learn more at www.swordhealth.com.
At Sword Health, data is at the core of our mission to build a pain-free world. Our Data Team plays a central role in enabling a truly data-driven organization, ensuring that every decision is guided by reliable, actionable insights that directly impact millions of lives worldwide.
As an Analytics Engineer, you will bridge the gap between data engineering and data analytics, transforming data into scalable, trusted models that power business decisions and advanced analytics. You’ll play a key role in building our semantic layer, ensuring consistency of metrics across the company, and optimizing data pipelines and reporting. By doing so, you will empower teams across Sword to drive both innovation in healthcare and operational excellence.
What you’ll be doing:
Design and maintain data pipelines, transforming raw data into clear, actionable insights using dbt and other tools.
Build and optimize LookML models in Looker to ensure efficient, scalable, and user-friendly reporting.
Write high-performance SQL for development, operational efficiency, and cost optimization.
Collaborate closely with Engineering and other teams to identify opportunities, propose solutions, and implement technical improvements.
Use Git for version control, deployment, and collaborative development in an agile environment.
Develop and maintain a semantic layer to improve AI functionality and enhance data accessibility.
Ensure consistency of metrics across the model, avoiding multiple definitions and logics for the same KPI, while aligning data models and transformations with both business objectives and analytical needs.
Collaborate closely with Data Analysts and business stakeholders, ensuring that data models and definitions directly support decision-making needs and analytics workflows.
What you need to have:
Strong proficiency in SQL.
Hands-on experience with dbt and BigQuery.
Ability to develop LookML models in Looker.
Proactive mindset to identify, propose, and implement both technical and process improvements.
Experience working in challenging and fast-paced business environments, with the ability to adapt data solutions to evolving needs.
Strong communication and collaboration skills to work effectively with Data Analysts, business stakeholders, and engineering peers.
Solid understanding of Git for code versioning and collaboration.
You should know how to design and implement AI-powered workflows or automations that meaningfully improve efficiency and outcomes.
What we would love to see:
Experience with GCP or AWS data infrastructure.
Hands-on experience with Airflow
Knowledge of data governance best practices.
Working knowledge of Python.
Experience with semantic layer design and implementation to enhance AI functionality and improve data accessibility for analytics and machine learning.
To ensure you feel good solving a big Human problem, we offer:
A stimulating, fast-paced environment with lots of room for creativity;
A bright future at a promising high-tech startup company;
Career development and growth, with a competitive salary;
The opportunity to work with a talented team and to add real value to an innovative solution with the potential to change the future of healthcare;
A flexible environment where you can control your hours (remotely) with unlimited vacation;
Access to our health and well-being program (digital therapist sessions);
Remote or Hybrid work policy.
To get to know more about our Tech Stack, check here.
Portugal - Sword Benefits & Perks:
• 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
Note: Please note that this position does not offer relocation assistance. Candidates must possess a valid EU visa and be based in Portugal.
Sword Health complies with applicable Federal and State civil rights laws and does not discriminate on the basis of Age, Ancestry, Color, Citizenship, Gender, Gender expression, Gender identity, Gender information, Marital status, Medical condition, National origin, Physical or mental disability, Pregnancy, Race, Religion, Caste, Sexual orientation, and Veteran status.
