Senior Data Engineer

📋 Description

• Design and build reliable data ingestion pipelines using third-party connectors, APIs, webhooks
• Develop robust API integrations covering authentication, OAuth2 and API-key flows, token refresh
• Manage schema drift, incremental and full-refresh strategies, idempotency, replayability
• Build comprehensive data-quality testing and monitoring, including freshness, volume, schema
• Ensure data failures are identified quickly through effective validation, alerting, and monitoring
• Own complete domain pipelines spanning ingestion configuration, raw data landing, dbt staging and

🎯 Requirements

• 5+ years of experience building and maintaining production data pipelines.
• Expert-level proficiency with dbt, including staging and mart architecture, incremental models
• Deep expertise in API-based data ingestion, including authentication, token refresh, OAuth2, API
• Demonstrated experience working with webhooks, files, databases, and CDC, including schema-drift
• Strong experience designing comprehensive data-quality frameworks that go beyond basic validation
• Strong Python skills for production-grade extraction, loading, automation, and data engineering

🎁 Benefits

• Base salary of $148,800–$181,700, commensurate with experience.
• Compensation ranges may vary by geography based on local market rates and cost of labor.
• Medical, dental, and vision insurance.
• 401(k) retirement plan with company match.
• Health Savings Account (HSA).
• Life insurance.