Principal Data Engineer

🕒 il y a 8 mois

🇺🇸 États-Unis – Télétravail

💵 $166 500 - $185 000 / an

⏰ Temps Plein

🔴 Expert

🚰 Ingénieur Data

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

Postuler Maintenant

Trouver des Emplois à Distance Similaires

Configurer une alerte email pour les nouveaux emplois

📊 Vérifiez votre score de CV pour ce poste

Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

Télécharger le CV

PointClickCare

Site WebLinkedInTous les Emplois

1001 - 5000 employés

🏥 Santé

💼 Conseil

⚕️ Assurance santé

💰 Secondary Market en 2022-03

Healthcare • Consulting • Healthcare Insurance

PointClickCare est un fournisseur de logiciels basés sur le cloud, axé sur l'amélioration de la collaboration dans les soins et de la santé financière dans le secteur des soins de santé. L'entreprise propose une plateforme complète qui connecte les équipes de soins aux données cruciales, permettant des transitions de soins harmonieuses et de meilleurs résultats pour les patients. En rationalisant les opérations des établissements de soins infirmiers qualifiés, des résidences pour personnes âgées et d'autres prestataires de soins de santé, PointClickCare aide à réduire les inefficacités, à gérer les commandes de médicaments, à assurer la conformité et à améliorer la performance financière. PointClickCare favorise également l'innovation et les améliorations de qualité dans le domaine des soins de santé grâce à une coordination des soins intégrée et à des informations exploitables à travers les silos de données.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• 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!