Senior Data Engineer

About the Role

Join a data infrastructure and analytics team building a platform that turns information from multiple sources into reliable, current company intelligence. You will own the platform across architecture, ingestion, and production operations, supporting products with trusted data.

What You'll Do

• Design a multi-source data platform for concurrent ingestion, event-driven processing, and orchestrated batch workflows.

• Build ingestion from provider APIs, webhooks, files, and web scraping, with rate limits and robust failure handling.

• Orchestrate scheduled workflows and historical backfills using Airflow, Dagster, Prefect, or similar tools.

• Develop event-driven processing with messaging or task queues, including retries, dead-letter handling, and controlled replay.

• Preserve source payloads in Google Cloud Storage and transform them with dbt into raw, standardized, and curated layers.

• Implement idempotent upserts and safe retries to prevent duplicate records and data corruption.

• Define data contracts, validation, pipeline tests, and monitoring for freshness and failures.

• Optimize PostgreSQ