Founding Data Engineer

6 days ago

Toronto, Ontario, Canada Syndesus Full time
Data Engineer
Our client is a high growth, exciting and already-profitable startup in Toronto - a chance to join a Rocketship at an early stage.
Your work would have direct impact on the lives and livelihoods of thousands of content creators around the globe. 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:Own data pipeline health, monitoring, debugging, and ensuring data quality across all pipelinesBuild and maintain integrations across the full data stack: SQL → ETL → Data Warehouse → InsightsDevelop and support AI/agentic systems, including building context pipelines that power their AI productsWork with AWS infrastructure (ECS, Lambdas, RDS), Snowflake, Airflow, DBT, and AirbyteEstablish metrics and monitoring for pipeline performance and data-driven flowsTroubleshoot integration issues and fix complex data problems under pressureBuild data integrations with social platforms and content storage systems (Google Drive, iCloud Photos, etc.)
What We're Looking For:3+ years in Data EngineeringStrong proficiency in Python, SQL, Airflow, DBT, Airbyte, SnowflakeExperience with AWS (ECS, Lambdas, RDS)Solid foundation in ETL/ELT processes, data modeling, and data quality/monitoringExcellent communicator (written and verbal) with stakeholder management experienceProblem-solver who thrives under pressure and can debug complex data issues quicklyComfortable with/experienced in working in a fast-paced startup
Bonus Skills:Streamlit experienceSocial platform scraping / reverse engineering undocumented APIsBuilding LLM/agentic systems and engineering context for themExperience with LLM providers (OpenAI, Anthropic, Cohere)
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.

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