Data Engineering Team Lead

Sword Health is on a mission to free two billion people from pain. 

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 $300 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 $3 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 900+ (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.

Sword Health is looking for a Data Engineering Team Lead that will be responsible for leading a team of data engineers, focusing on developing and implementing data solutions using dbt and SQL. You will participate in sprint planning, roadmap estimations and approvals, and ensure the team delivers high-quality results. The role involves fostering team growth, conducting code reviews, being technically hands-on, and serving as a point of contact for support within the organization.

You will be working inside our Data Team at Sword that is helping our business to become more and more Data centric and you will have a tremendous impact on millions of lives.

• Lead and mentor a team of data engineers, fostering a collaborative and growth-oriented environment.
• Oversee the development and implementation of data solutions using dbt and SQL.
• Participate in sprint planning, roadmap estimations, and approvals to ensure alignment with business objectives.
• Ensure the team delivers high-quality, accurate, and timely data solutions.
• Conduct code reviews to maintain coding standards and best practices.
• Foster knowledge sharing and continuous improvement within the team.
• Collaborate with stakeholders to understand requirements and ensure successful project delivery.
• Remain hands-on with technical tasks and provide guidance and support to team members.
• Drive initiatives to improve processes, tools, and methodologies.
• Serve as a point of contact for support within the organization, addressing queries and issues related to data engineering.
• Engage with various departments to gather requirements and feedback, ensuring that data solutions meet their needs.
• Present technical solutions and updates to senior management and other stakeholders.
• Identify and propose opportunities for leveraging new technologies and methodologies to improve data engineering practices.
• Contribute to the long-term data strategy of the company.

• 5+ years of experience in Data Engineering / Data Team Lead roles.
• Proven experience in a data engineering leadership role.
• Strong proficiency in dbt and SQL.
• Experience with Apache Airflow and Python.
• Knowledge of Apache Kafka is a plus.
• Excellent leadership and team management skills.
• Experience with sprint planning, roadmap estimations, and agile methodologies.
• Strong focus on quality and delivering excellent results.
• Ability to conduct thorough code reviews and ensure adherence to best practices.
• Excellent communication skills, both technical and non-technical.
• Ability to work collaboratively with stakeholders and team members.
• Hands-on experience with data engineering tasks and a willingness to stay technically involved.
• Relevant certifications (e.g., AWS Certified Data Analytics, Google Professional Data Engineer) are a plus.
• Experience with project management tools (e.g., JIRA) to track progress and ensure timely delivery of projects.

• Bachelor’s degree in Computer Science, Information Technology,, or a related field (or equivalent experience).
• Experience in working with cloud platforms.
• Genuine curiosity that drives you to experiment and try new things.

• 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, which includes SWORD Health, Inc. and Sword Health Professionals (consisting of Sword Health Care Providers, P.A., SWORD Health Care Providers of NJ, P.C., SWORD Health Care Physical Therapy Providers of CA, P.C.*) 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.