- Own data pipeline health, monitoring, debugging, and ensuring data quality across all pipelines
- Build and maintain integrations across the full data stack: SQL → ETL → Data Warehouse → Insights
- Develop and support AI/agentic systems, including building context pipelines that power their AI products
- Work with AWS infrastructure (ECS, Lambdas, RDS), Snowflake, Airflow, DBT, and Airbyte
- Establish metrics and monitoring for pipeline performance and data-driven flows
- Troubleshoot integration issues and fix complex data problems under pressure
- Build data integrations with social platforms and content storage systems (Google Drive, iCloud Photos, etc.)
- 3+ years in Data Engineering
- Strong proficiency in Python, SQL, Airflow, DBT, Airbyte, Snowflake
- Experience with AWS (ECS, Lambdas, RDS)
- Solid foundation in ETL/ELT processes, data modeling, and data quality/monitoring
- Excellent communicator (written and verbal) with stakeholder management experience
- Problem‑solver who thrives under pressure and can debug complex data issues quickly
- Comfortable with/experienced in working in a fast‑paced startup
- Social platform scraping / reverse engineering undocumented APIs
- Building LLM/agentic systems and engineering context for them
- Experience with LLM providers (OpenAI, Anthropic, Cohere)
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Toronto, ON1 week ago
Data Engineer - Toronto - Syndesus, Inc.
Description
Our client is a high growth, exciting and already-profitable startup in Toronto - a chance to join a Rocketship at an early stage.
We're seeking a Data Engineer to own the health, quality, and reliability of critical data infrastructure. You'll be the go-to person ensuring data flows seamlessly across the stack - from pipelines to warehouse to the AI systems that power their products. Think of yourself as the Chief Engineer keeping all systems running, often under pressure.
This is a hybrid role, 4 days onsite, HQ downtown Toronto
What You'll Do:
What We're Looking For:
Bonus Skills:
This role is ideal for someone energized by keeping critical systems running smoothly, who enjoys variety in their technical work, and wants to directly enable the AI products and data‑driven culture at a fast‑moving startup.
Compensation
The base pay range for this role is CA$150,000 – CA$200,000 per year.
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