Sr Data Engineer - Toronto/Waterloo

SENIOR DATA ENGINEER HYBRID | WATERLOO OR TORONTO, ON (MUST BE LOCALLY BASED) The Role Senior IC role on a data innovation team responsible for designing, building, and operating the data architecture that powers analytics, ML/AI initiatives, and business intelligence across a large-scale consumer software platform. You'll work at the intersection of data engineering, data science, and data quality — partnering closely with stakeholders, data scientists, and product teams. Responsibilities * Design and deploy comprehensive data architecture capturing structured and unstructured data from diverse internal and external sources * Build resilient ETL/ELT pipelines routing data across cloud structures, local databases, and other storage forms * Implement data quality frameworks — validation, monitoring, and automated recovery strategies * Collaborate with data scientists to enable advanced analytics, predictive modeling, and ML initiatives * Develop web-enabled, self-service analytics solutions that democratize data access company-wide * Apply AI/ML and big-data techniques to automate data cleansing, transformation, and enrichment * Leverage MCP (Model Context Protocol) to connect enterprise applications and automate data flows * Ensure secure, scalable, and compliant data ingestion with appropriate PII handling * Troubleshoot pipeline issues, optimize performance, and participate in on-call rotations * Mentor junior team members and contribute to data engineering practice growth Requirements * 8+ years of hands-on ETL/ELT pipeline development across varied data sources * Strong programming skills in Python, Scala, or Java (production-quality code) * Experience with modern data platforms — Snowflake, Databricks, Apache Spark, Kafka, Airflow * Cloud platform experience — AWS, Azure, or GCP and their native data services * Experience with real-time data processing and streaming architectures * Solid data modeling, warehousing, and dimensional modeling fundamentals * Knowledge of containerization and orchestration (Docker, Kubernetes) * Practical knowledge of MCP and AI-assisted development tools * Familiarity with DataOps and MLOps practices * Experience managing sensitive/PII data with attention to compliance and governance * Strong communication skills across technical and non-technical stakeholders Preferred * Background in data science or analytics * Experience in client-facing or Professional Services roles Compensation $130,000 - $175,000 + ~15% bonus. Full benefits. The Company Well-established consumer software company with a large global footprint. Strong benefits: bonus, pension, medical/dental/vision, generous PTO, and paid parental leave.

This Senior IC role involves designing, building, and operating the data architecture supporting analytics, ML/AI, and business intelligence for a large-scale consumer software platform. Responsibilities include designing data architecture, building resilient ETL/ELT pipelines, and implementing data quality frameworks.

Candidates must possess 8+ years of hands-on ETL/ELT pipeline development experience and strong production-quality programming skills in Python, Scala, or Java. Essential technical knowledge includes modern data platforms like Snowflake/Databricks, cloud services (AWS/Azure/GCP), and experience with streaming architectures and data modeling.

• Bonus • Pension • Medical • Dental • Vision • Generous PTO • Paid Parental Leave

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• ETL/ELT Pipeline Development
• Python
• Scala
• Java
• Snowflake
• Databricks
• Apache Spark
• Kafka
• Airflow
• AWS
• Azure
• GCP
• Real-time Data Processing
• Data Modeling
• Data Quality Frameworks
• Docker

• Data & Analytics
• Software
• Engineering
• Science & Research
• Technology

Expérience minimale

5+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine