Senior Data Platform Engineer

🔥 14 hours ago

🇵🇹 Portugal – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Sword Health

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2015

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

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

• Design and evolve Sword’s streaming lakehouse • Build and operate distributed streaming pipelines for low-latency, highly reliable data movement • Own durable workflows coordinating complex data movement across systems • Shape the platform API surface for producers and consumers • Evaluate and integrate vendor data platforms • Contribute to self-service and agentic interfaces for humans, systems, and AI agents • Partner with data engineers and analysts on contracts, governance, and lineage • Build and maintain AI-ready data infrastructure powering ML and AI-driven products • Use AI coding assistants and LLMs to accelerate development, automate documentation, and improve code quality • Work in a regulated environment with audit, compliance, and governance requirements

🎯 Requirements

• Proven experience designing and operating data platforms at scale in production • Hands-on experience with modern lakehouse table formats; Iceberg strongly preferred, Delta Lake or Hudi also welcome • Understanding of metadata layout, snapshots, manifests, compaction, copy-on-write, and merge-on-read • Clear mental model of data catalogs including REST, Polaris, Glue, Unity, and Hive • Exposure to Snowflake, Starburst, or Databricks at an architectural level • Strong experience with distributed processing engines; Flink strongly preferred, Spark also acceptable • Ability to fine-tune running jobs and debug degrading pipelines • Familiarity with durable execution such as Temporal, Restate, or similar • Production experience building and operating REST or gRPC APIs at scale • Understanding of API contracts, versioning, retries, rate limiting, and observability • Solid understanding of Kafka and event-driven architectures, including producers, consumers, partitioning, and delivery semantics • Comfort working in regulated environments where audit, compliance, and data governance are part of every design • Platform mindset focused on self-service, API-first systems, and AI agents as consumers • AI proficiency at least at Explorer (Level 1) • Bonus: familiarity with Polaris, Nessie, Unity, Prometheus, Grafana, OpenTelemetry, agentic or AI-facing APIs, MCP-style interfaces, HIPAA, FedRAMP, SOC 2, dbt, DataHub, or data contract tooling

🏖️ Benefits

• Variable compensation and private company stock options may be included in total compensation • Additional benefits beyond total compensation • Country-specific benefits (details provided separately)

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