Principal Data Engineer

🕒 Novembro 24, 2025

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $166.500 - $185.000 / ano

⏰ Tempo Integral

🔴 Especialista

🚰 Engenheiro de Dados

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PointClickCare

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

⚕️ Seguro de Saúde

☁️ SaaS

🏢 Corporativo

💰 Secondary Market em 2022-03

Healthcare Insurance • SaaS • Enterprise

A PointClickCare é uma provedora de software em nuvem focada em aprimorar a colaboração assistencial e a saúde financeira no setor de saúde. A empresa oferece uma plataforma abrangente que conecta equipes de cuidado a dados essenciais, permitindo transições assistenciais contínuas e melhores desfechos para os pacientes. Ao otimizar as operações de instituições de enfermagem especializada, comunidades de moradia sênior e outros provedores de saúde, a PointClickCare ajuda a reduzir ineficiências, gerenciar prescrições de medicamentos, assegurar conformidade e melhorar o desempenho financeiro. A PointClickCare também promove inovação e melhorias de qualidade na saúde por meio de coordenação de cuidado integrada e insights acionáveis entre silos de dados.

Descrição

• Lead and guide the design and implementation of scalable streaming data pipelines • Engineer and optimize real-time data solutions using frameworks like Apache Kafka, Flink, Spark Streaming • Collaborate cross-functionally with product, analytics, and AI teams to ensure data is a strategic asset • Advance ongoing modernization efforts, deepening adoption of event-driven architectures and cloud-native technologies • Drive adoption of best practices in data governance, observability, and performance tuning for streaming workloads • Embed data quality in processing pipelines by defining schema contracts, implementing transformation tests and data assertions, enforcing backward-compatible schema evolution, and automating checks for freshness, completeness, and accuracy across batch and streaming paths before production deployment • Establish robust observability for data pipelines by implementing metrics, logging, and distributed tracing for streaming jobs, defining SLAs and SLOs for latency and throughput, and integrating alerting and dashboards to enable proactive monitoring and rapid incident response • Foster a culture of quality through peer reviews, providing constructive feedback and seeking input on your own work

🎯 Requisitos

• Principal Data Engineer with at least 10 years of professional experience in software or data engineering, including a minimum of 4 years focused on streaming and real-time data systems • Proven experience driving technical direction and mentoring engineers while delivering complex, high-scale solutions as a hands-on contributor • Deep expertise in streaming and real-time data technologies, including frameworks such as Apache Kafka, Flink, and Spark Streaming • Strong understanding of event-driven architectures and distributed systems, with hands-on experience implementing resilient, low-latency pipelines • Practical experience with cloud platforms (AWS, Azure, or GCP) and containerized deployments for data workloads • Fluency in data quality practices and CI/CD integration, including schema management, automated testing, and validation frameworks (e.g., dbt, Great Expectations) • Operational excellence in observability, with experience implementing metrics, logging, tracing, and alerting for data pipelines using modern tools • Solid foundation in data governance and performance optimization, ensuring reliability and scalability across batch and streaming environments • Experience with Lakehouse architectures and related technologies, including Databricks, Azure ADLS Gen2, and Apache Hudi • Strong collaboration and communication skills, with the ability to influence stakeholders and evangelize modern data practices within your team and across the organization • Additional qualities we value • Strong analytical and problem-solving mindset • Ability to learn quickly and adapt to new technologies, even when uncomfortable • Self-starter who thrives with minimal supervision and collaborates effectively as a team player • Excellent organizational and critical-thinking skills • Comfortable leveraging AI tools to accelerate development

🏖️ Benefícios

• Benefits starting from Day 1! • Retirement Plan Matching • Flexible Paid Time Off • Wellness Support Programs and Resources • Parental & Caregiver Leaves • Fertility & Adoption Support • Continuous Development Support Program • Employee Assistance Program • Allyship and Inclusion Communities • Employee Recognition … and more!