
51 - 200 employees
Founded 2020
☁️ SaaS
🤝 B2B
🤖 Artificial Intelligence
💰 $150M Series B - Airbyte on 2021-12
SaaS • B2B • Artificial Intelligence
Airbyte is an open-source data integration platform that provides ETL/ELT, data replication, and connector infrastructure for moving and activating data across databases, warehouses, lakes, and applications. It offers both a developer-friendly open-source core and commercial SaaS/enterprise offerings with connectors, an Agent Engine to power AI agents and real-time workflows, and features for security, governance, and high-throughput pipeline management. Airbyte is used by data teams to build, operate, and scale data pipelines and to feed analytics, BI, machine learning, and GenAI systems.
🔥 19 minutes ago
🇨🇦 Canada – Remote
💵 CA$101k - CA$110k / year
⏰ Full Time
🟢 Junior
🟡 Mid-level
📞 Support Engineer
🚫👨🎓 No degree required
👻 Ghost score 0%
Amazon Redshift
AWS
Azure
BigQuery
Cloud
Docker
ETL
Google Cloud Platform
Java
Kotlin
Kubernetes
MongoDB
MySQL
Oracle
Postgres
SQL
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51 - 200 employees
Founded 2020
☁️ SaaS
🤝 B2B
🤖 Artificial Intelligence
💰 $150M Series B - Airbyte on 2021-12
SaaS • B2B • Artificial Intelligence
Airbyte is an open-source data integration platform that provides ETL/ELT, data replication, and connector infrastructure for moving and activating data across databases, warehouses, lakes, and applications. It offers both a developer-friendly open-source core and commercial SaaS/enterprise offerings with connectors, an Agent Engine to power AI agents and real-time workflows, and features for security, governance, and high-throughput pipeline management. Airbyte is used by data teams to build, operate, and scale data pipelines and to feed analytics, BI, machine learning, and GenAI systems.
• Serve as the primary technical escalation point for database-related customer issues via email, ticketing systems, and video calls • Triage and prioritize incoming issues, meet SLA targets, and use AI tools to resolve issues faster • Investigate issues across relational databases, data warehouses, data lakes, and cloud object storage • Reproduce bugs by inspecting connector logs, query plans, replication slots, transaction logs, sync state, and destination table state • Support onboarding and troubleshooting for SSH tunnels, network configuration, database permissions, CDC setup, and warehouse/lake authentication • Help customers build and debug database integrations, including authentication, SSL/SSH, CDC, schema evolution, incremental cursors, and typed destination tables • Validate database version compatibility, maintain testing environments, and reproduce behavior on database and warehouse instances • Contribute to Airbyte’s open-source database connectors and Java/Kotlin Bulk CDK • Review and test community contributions to database sources and destinations • Collaborate with Engineering and Product to surface issues, advocate for feature requests, and influence the database reliability and performance roadmap • Partner with Solutions Engineering and Sales Engineering on enterprise onboarding, CDC architecture reviews, destination schema modeling, and production readiness assessments • Train and mentor Technical Support Engineers on database connector concepts and the Airbyte protocol • Partner with Sales and Customer Success on technical conversations, onboarding, and expansion efforts • Create and maintain knowledge base articles, troubleshooting guides, runbooks, and connector documentation • Identify AI-driven automation and process-improvement opportunities • Lead initiatives to address organizational or support gaps and own unique projects
• 2+ years in software engineering, data engineering, technical support, DevOps, QA, or a similar role supporting developers or technical users • Fluency in SQL, including hands-on experience investigating query plans, isolation levels, and performance bottlenecks • Proficiency in Java or Kotlin; ability to read, write, and debug JVM-based connector code • Hands-on experience with relational databases, data warehouses, or data lakes, including CDC, schema evolution, and query optimization • Experience with JDBC and common database drivers • Comfort debugging connection, authentication, SSL, and SSH tunnel issues • Understanding of AWS, GCP, or Azure and data integration concepts, including ELT/ETL workflows • Strong troubleshooting instincts and clear communication with technical and non-technical stakeholders • High tolerance for ambiguity and a natural self-starter • Required application materials: resume, GitHub profile, LinkedIn profile, and current location • Nice to have: experience with PostgreSQL, MySQL, MSSQL, Oracle, MongoDB, Snowflake, BigQuery, Redshift, ClickHouse, Iceberg, Delta Lake, S3, GCS, Azure Blob, Kubernetes, Docker, multi-tenant architectures, B2B SaaS, CI/CD, GitHub open-source workflows, AI-assisted development tools, and automated playbooks or runbooks
• Offers equity • Flexible PTO with a culture that encourages at least 25 days off annually • Public holidays in line with provincial employment standards • Comprehensive health coverage, including extended health benefits on top of provincial public healthcare • Virtual healthcare access to doctors and other care providers online • Group retirement savings plan • Canada/Québec Pension Plan, Employment Insurance and workers’ compensation coverage • Professional development budget • Conference sponsorship • Book reimbursement
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