Staff Data Engineer

🕒 Fevereiro 26

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Interwell Health

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

⚕️ Seguro de Saúde

🧘 Bem-estar

💰 $46.000.000 Series B em 2021-04

Healthcare Insurance • Wellness

A Interwell Health é uma provedora de cuidados renais baseada em valor que faz parceria com médicos para revolucionar o setor de saúde. A empresa foca em oferecer expertise, compaixão e estratégias inovadoras para estabelecer altos padrões na indústria de cuidados renais. A Interwell Health visa desacelerar a progressão da doença e reduzir hospitalizações, resultando em melhores resultados de saúde e menores custos de cuidado para pacientes e pagadores. Conquistou a Acreditação de Programa de Saúde Populacional da NCQA por seu abrangente programa de engajamento do paciente, o Interwell 360. Com uma década de experiência, a Interwell Health gerencia riscos financeiros e necessidades dos pacientes através de uma abordagem dual de cuidado ao paciente e habilitação de provedores. A empresa colabora com nefrologistas, provedores de cuidados primários e pagadores, apoiada por uma vasta rede de colaboradores clínicos e não clínicos dedicados à saúde do paciente.

Descrição

• Design and evolve a scalable, secure, cloud-native lakehouse platform leveraging Databricks, Microsoft Fabric (OneLake, Lakehouse, Data Factory), and dbt. • Define modeling patterns, governance frameworks, and engineering best practices across the data lifecycle. • Lead design reviews and guide teams in adopting scalable architectural patterns. • Drive long-term platform strategy and evaluate emerging technologies. • Design and implement batch and streaming data pipelines for healthcare data sources (EHR, claims, HL7/FHIR, APIs, flat files, databases). • Develop modular ingestion, quality, lineage, metadata, and observability frameworks that scale across domains. • Produce clean, analytics-ready datasets and data models for BI, analytics, and machine learning workloads. • Implement HIPAA-aligned access patterns and secure handling of PHI. • Architect Databricks workloads (clusters, jobs, Unity Catalog, Delta Lake) for reliability, performance, and cost efficiency. • Integrate Databricks and Microsoft Fabric with Azure services and enterprise systems. • Partner with product managers, data scientists, analysts, clinicians, and business stakeholders to translate healthcare data needs into scalable solutions. • Lead cross-functional initiatives that modernize and unify the organization’s data ecosystem. • Mentor senior and mid-level engineers; elevate team capability through technical coaching and standards. • Drive roadmap planning, platform evolution, and long-term data strategy. • Champion engineering excellence, reliability practices, documentation quality, and governance.

🎯 Requisitos

• Bachelor's degree in Computer Science, Engineering, or a related field. • 7+ years of experience in data engineering. • 2+ years operating in a senior or staff level engineering role. • Deep hands-on proficiency with Databricks, Spark, Delta Lake, dbt, and Python. • Proven ability to design and operate largescale cloud data platforms (Azure preferred). • Hands-on experience with Data Engineering, Data Factory, Lakehouse, OneLake. • Advanced data platform architecture and Lakehouse design expertise. • Strong command of distributed data processing and cloud native engineering. • Experience working in HIPAA regulated environments and handling PHI. • Healthcare data fluency, including regulated data handling and compliance. • Technical leadership, mentorship, and influence across teams. • Strong communication skills with both technical and clinical stakeholders. • Experience with platform reliability, CI/CD for data pipelines, and infrastructure as code.

🏖️ Benefícios

• Health insurance • Flexible working hours