Airbyte
Customer Support Developer (Databases)
United States (Remote)$99k–$115kfulltimemidAdded 1 month ago
About this role
Airbyte seeks a Developer with deep database expertise to blend customer support with hands-on connector development. You'll troubleshoot complex data integration issues, write Java/Kotlin code for open-source database connectors, and advocate for customer needs across the engineering organization.
What you'll do
- Serve as primary technical escalation for database-related customer issues via email, ticketing, and video calls
- Reproduce and root-cause bugs by analyzing connector logs, query plans, transaction logs, and replication state
- Develop and maintain Java/Kotlin code for Airbyte's database source and destination connectors
- Support customers with CDC setup, schema evolution, authentication, and data warehouse/lake configurations
- Validate database version compatibility and maintain testing environments across supported engines
- Advocate for customer pain points to Engineering and Product teams to influence roadmap priorities
What they're looking for
- Java and Kotlin development
- Relational databases (PostgreSQL, MySQL, MSSQL, Oracle)
- Data warehouses and lakes (Snowflake, BigQuery, Redshift, Databricks)
- Change Data Capture (CDC) and replication mechanisms
- Network troubleshooting (SSH, SSL, firewalls, authentication)
- SQL query optimization and transaction log analysis
- Open-source contribution and code review
- Technical communication and customer empathy
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Airbyte
Airbyte builds data integration connectors and platforms that help move data between systems. The company is hiring developers with database expertise to support customers, develop connectors in Java/Kotlin, and bridge customer needs with engineering.
View all jobs at AirbyteLikely interview questions
- Walk us through how you'd approach debugging a customer's replication issue where syncs are hanging—what logs and tools would you check first?
- Tell us about a time you had to write code to solve a customer problem. How did you balance shipping a fix quickly versus making it production-ready?