Staff Data Engineer building pipelines, models, and infrastructure for exacare ai’s post - acute care AI platform. Turning healthcare data into reliable foundations for product, analytics, and ML workflows.
About the role
- Engineer building scalable data platforms for commercial trucking API company. Designing and optimizing the data platform to tackle complex backend challenges.
Responsibilities
- Own projects aimed at enhancing data storage, replication, enrichment, and reporting capabilities.
- Build and optimize efficient streaming and batch data pipelines that support our core product and API.
- Design scalable storage solutions for handling petabytes of IoT and time-series data.
- Develop and maintain real-time data systems to ingest growing data volumes.
- Implement distributed tracing, data lineage and observability patterns to improve monitoring and troubleshooting.
- Manage infrastructure that powers the current and future services, ensuring scalability, reliability, and zero downtime for HA services.
- Write clean, maintainable code in Java and Python for various platform components.
- Shape architectural decisions to ensure scalability and reliability throughout the data platform.
Requirements
- 6+ years of experience in platform engineering or data engineering.
- 4+ years of experience designing and optimizing data pipelines at TB to PB scale.
- Proficient in Java, with a focus on clean, maintainable code.
- Strong system design skills with a focus on big data and real-time workflows.
- Experience with lake-house architectures (e.g., Iceberg, Delta, Paimon).
- Experience with real-time data processing tools like Kafka, Flink and Spark.
- Knowledge of distributed systems and large-scale data challenges.
- Strong problem-solving skills and a collaborative mindset.
Benefits
- Strong compensation and equity packages
- Brand new MacBook and computer equipment
- Top-tier health/dental benefits and a flexible healthcare spending account
- Personal spending account for professional development, fitness and wellness
- Four weeks paid time off + statutory holidays
- In-person culture with an office located in downtown Toronto
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