10 Airbyte Software Engineer (New Grad) Interview Questions (2026)

Outline

Airbyte is open-source data integration. Pick a specific aspect (the connector ecosystem, the CDK for building connectors, the cloud vs self-hosted offering, the open governance). If you've used Airbyte or contributed a connector, ground your answer in that. Specificity beats 'I like data.'

Outline

Airbyte is OSS-native. Concrete: the project, the issue, your PR, the review back and forth. Even small contributions count if you can talk about them with depth. Mention how you found the issue, how you tested locally, how you handled review feedback. Public work is a major signal for Airbyte.

Outline

STAR. Airbyte is remote-first. Show concrete habits: how you communicate progress, how you ask for help, how you handle time-zone gaps, how you ship without sync standups. Mention written specs, async code review, and self-direction. Engineers who need constant in-person feedback don't thrive remotely.

Outline

Pick a project with public code (GitHub, open-source contribution, side project repo). Be ready to share the screen and walk through architecture, key decisions, tradeoffs. Airbyte interviewers value public, inspectable work. Opacity hurts you here.

Outline

Kahn's algorithm: maintain in-degree per node, queue of nodes with in-degree 0, process and decrement. Detect cycles (final count < total nodes). O(V+E) time and space. Alternative: DFS with three-color marking. Walk through with a small DAG. Maps to data-pipeline dependency resolution.

Outline

Buffer records, sort by timestamp. Deduplication: use a key (record ID + version, or record content hash). Discuss bounded vs unbounded buffering and how to handle late-arriving data. O(n log n) for the sort. Maps to ETL deduplication, a real Airbyte concern.

Outline

Loop: fetch a page, check for next cursor, sleep on rate-limit response (respect Retry-After header), retry with exponential backoff on transient errors. Accumulate results. Discuss memory pressure for very large extracts (streaming). Mention idempotency on retries. Airbyte connectors do this all day.

Outline

SELECT u.id, COUNT(o.id) FROM users u LEFT JOIN orders o ON u.id = o.user_id WHERE u.created_at >= NOW() - INTERVAL '30 days' GROUP BY u.id. Discuss LEFT JOIN vs INNER JOIN (preserves users with zero orders). Mention indexes on created_at and user_id. Walk through what the plan would look like.

Outline

State machine. States: outside-field, inside-unquoted, inside-quoted, just-saw-quote-in-quoted (might be escaped). Build characters into current field, emit field on comma or newline (when not inside quotes). Edge cases: quotes inside fields, newlines inside quoted fields, empty fields. Walk through with a tricky example.

Outline

Scheduler picks ready jobs. Workers pull from a queue. Each sync has retry policy, max duration, exponential backoff. Persist run state for restartability. Discuss isolation (one sync's failure must not cascade), observability per sync, and how to handle a stuck sync. Lightweight at new-grad — keep scope tight.