
51 - 200 employees
Founded 2020
💼 Consulting
📦 Logistics
🤖 Artificial Intelligence
Consulting • Logistics • Artificial Intelligence
Airbyte is an open-source data integration engine designed to help organizations consolidate their data in data warehouses, lakes, and databases. With its cloud and self-managed options, Airbyte provides secure data movement for enterprises, offering hundreds of integrations, database replication, and the ability to create custom connectors quickly. It is ideal for AI and machine learning use cases, making unstructured data actionable and integrating with vector databases efficiently. Airbyte fosters a large data and AI community, encouraging collaboration and knowledge sharing to solve data movement challenges effectively.
🕒 October 8
🇨🇦 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
Snowflake
Where this job comes from
Posted on Airbyte's careers page, not through a job board
First seen by Remote Rocketship October 8
Still open on Airbyte's site. Checked 6 hours ago.

51 - 200 employees
Founded 2020
💼 Consulting
📦 Logistics
🤖 Artificial Intelligence
Consulting • Logistics • Artificial Intelligence
Airbyte is an open-source data integration engine designed to help organizations consolidate their data in data warehouses, lakes, and databases. With its cloud and self-managed options, Airbyte provides secure data movement for enterprises, offering hundreds of integrations, database replication, and the ability to create custom connectors quickly. It is ideal for AI and machine learning use cases, making unstructured data actionable and integrating with vector databases efficiently. Airbyte fosters a large data and AI community, encouraging collaboration and knowledge sharing to solve data movement challenges effectively.
• 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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