Senior Data Engineer – Data Platform

🕒 January 6

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Sword Health

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2015

⚕️ Healthcare Insurance

🤖 Artificial Intelligence

🧘 Wellness

Healthcare Insurance • Artificial Intelligence • Wellness

Sword Health is a digital health company that combines artificial intelligence with clinical expertise to provide world-class care for muscle, joint, and pelvic health conditions. By offering digital physical therapy and AI-driven care, Sword helps individuals recover from physical ailments from the comfort of their own home, avoiding surgeries and reducing the need for medications. The company provides employers, health plans, and individuals with personalized treatment plans that are cost-effective and have proven outcomes in pain reduction and improved productivity. Sword Health is dedicated to expanding access to high-quality care and ensuring health equity across global communities.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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