With 67% of members achieving a pain-free life and a 70% reduction in surgery intent, at Sword, we are using AI Care to change lives, and save millions for our 25,000+ enterprise clients across three continents. Today, we hold the majority of industry patents, win 70% of competitive evaluations, and have raised more than $400 million from top venture firms like Founders Fund, Sapphire Ventures, General Catalyst, and Khosla Ventures.

Recognized as a Forbes Best Startup Employer in 2025, this award highlights our focus on being a destination for the best and brightest talent. Not only have we experienced unprecedented growth since our market debut in 2020, but we’ve also created a remarkable mission and value-driven environment that is loved by our growing team. With a recent valuation of $4 billion, we are in a phase of hyper growth and expansion, and we’re looking for individuals with passion, commitment, and energy to help us scale our global impact.

Joining Sword means committing to a set of core values, chief amongst them to “do it for the patients” every day, and to always “deliver more than expected” on behalf of our members and clients.

This is an opportunity for you to make a significant difference on a massive scale as you work alongside 1000+ (and growing!) talented colleagues, spanning three continents. Your charge? To help us build a pain-free world, powered by AI, enhanced by people — accessible to all.

Analytics Engineer — AI Data Foundations

Own the modeling, quality, and semantic layer that makes company data AI-ready. Your work lets our internal assistants reliably answer questions and power safe actions from trusted, fresh data.

Internal AI Solutions

We build AI tools that improve internal decision-making and productivity. You’ll work hand-in-hand with the Data team to structure high-value domains into AI-safe models, and with AI Engineers to deploy them into assistants, dashboards, and automations.

What you’ll be doing:

Model core business domains into clear, documented star schemas (facts/dimensions) with stable names, units, and time grains.
Design an LLM-friendly semantic layer (synonyms, metric definitions, query guardrails, row/column-level policies).
Publish AI-safe consumption views/endpoints that enable constrained text-to-SQL with citations and data timestamps.
Data quality & observability: add tests/monitors, anomaly alerts, and cost/freshness dashboards.
Use Python to automate data quality checks, trigger alerts, or integrate new data sources into the modeling pipeline.
Contribute to workflow automation by connecting your data products with internal agents and actions, using modern scripting or low-code tools.
Partner & prioritize with stakeholders to unlock high-value internal questions and safe action workflows.
Document & enablement: concise glossaries and examples for analysts and AI consumers.

What you need to have:

3+ years of experience in analytics/data engineering, preferably in high-growth environments.
Strong command of SQL and experience building clean, tested, and well-documented data models (star/snowflake schemas).
Solid understanding of data modeling best practices, semantic layers, and version control.
Proficiency in Python for data tasks, especially scripting, testing, and API integrations.
Familiarity with concepts of AI-safe data modeling (e.g., naming consistency, freshness metadata, guardrails).
Curiosity and comfort working across data, product, and engineering teams.
Excellent written communication, you’ll write for humans and machines.

What we would love to see:

Experience enabling AI assistants, agents, or chat-based interfaces with structured data sources.
Exposure to LLM-based systems (e.g., text-to-SQL, RAG pipelines) and the data prep they require.
Experience integrating data pipelines with automation platforms (e.g., orchestrators, webhook triggers, workflow runners).
Interest in building internal products that solve real business problems, and continuously iterating on them.
A mindset of trust, stewardship, and safety when handling and exposing internal data.

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.

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