Senior Data Platform Engineer

🔥 13 minutes ago

🇵🇹 Portugal – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 15%

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Sword Health

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2015

🏥 Healthcare

☁️ SaaS

🤖 Artificial Intelligence

Healthcare • SaaS • Artificial Intelligence

Sword Health is a digital health company offering an AI Care platform that combines artificial intelligence with licensed clinicians to provide virtual care primarily for musculoskeletal (MSK) pain, women's health, cardiometabolic health, and mental health. Their platform includes AI-driven digital physical therapy for pain (Thrive), women's health program (Bloom), cardiometabolic program (Pulse), mental health support (Mind), and Predict, an AI engine to identify members at high risk for avoidable surgeries. Sword sells to employers, health plans, unions, consultants & brokers, and individuals, focusing on measurable cost savings, surgical avoidance, and improved clinical outcomes. They emphasize security, privacy, and clinical evidence with peer-reviewed studies and validated ROI.

📋 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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