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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.
Architect a scalable lakehouse by migrating workloads to Apache Iceberg. You’ll develop a Jobs API, build Spark/Flink pipelines, and establish data contracts. Requires proficiency in Python and Kafka with a platform-first, collaborative mindset.
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.
What you’ll be doing:
- Spearhead the migration of existing workloads to the Iceberg format, establishing and maturing the foundational lakehouse architecture.
- Architect and construct robust batch and streaming data pipelines utilizing Spark and Flink technologies.
- Collaborate closely with the Backend Engineering team on API integrations and the establishment of formal data contracts.
- Contribute to the development of a unified lineage and governance framework utilizing DataHub.
- Provide comprehensive support to the Core Team in the successful adoption of new data platform capabilities.
What you need to have:
- Demonstrated proficiency with Python and PySpark.
- Hands-on experience with data lake formats (e.g., Iceberg, Delta Lake, or Hudi).
- Solid understanding of Kafka and event-driven architectures.
- Experience in building and orchestrating data pipelines at scale.
- Strong SQL proficiency and comprehensive data modeling knowledge.
- Familiarity with workflow orchestration tools (e.g., Airflow, Dagster, or similar).
- Platform-oriented mindset: developing solutions for broad organizational use, not solely individual purposes.
- Ownership mentality: committed to seeing problems through to resolution.
- Clear communication skills: ability to articulate complex technical concepts to non-technical stakeholders.
- Highly collaborative: excels in working alongside backend engineers, data engineers, and analysts.
- Pragmatic approach: adept at balancing ideal solutions with practical delivery timelines.
- Bonus: Demonstrated expertise with Flink or comparable streaming frameworks.
- Bonus: Proficiency in DBT and familiarity with the modern data stack.
- Bonus: Experience with modern data platforms such as BigQuery, Trino, Snowflake, or Databricks.
- Bonus: Proven background in developing self-service data platforms.
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.
€39,545 - €62,142 a year
*This range includes base, variable and equity
These compensation bands are just the starting point. Once someone joins and proves they’re outlier talent, we adjust quickly to ensure their compensation aligns with their impact.
Our job titles may span more than one career level. Actual pay is determined by skills, qualifications, experience, location, market demand, and other factors. Compensation details listed in this posting reflect the base salary and any potential variable, bonus or sales incentives, and the Company’s estimation of the value of private company stock options, if applicable. The pay range is subject to change, future value of company stock options is not guaranteed, and compensation may be modified in the future. In addition to our total compensation, Sword offers a number of benefits as listed below.
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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