Geospatial Data Engineer building data processing systems for autonomous flight decisions alongside the CTO. Architecting systems evolution from initial implementation to production - grade infrastructure.
About the role
- Engineer building scalable data platforms for a telematics startup tackling complex backend challenges. Designing and optimizing data platforms for API, managing large-scale data processing.
Responsibilities
- Own projects aimed at enhancing data replication, storage, 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.
- 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
- 3+ years of experience in platform engineering or data engineering.
- 2+ 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.
- Familiarity 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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