Senior Software Engineer, Data Systems (Python)

Role overview Build and improve the data integrations and pipelines that power a customer-facing analytics product. Working with product, data, infrastructure, and business teams, you’ll turn customer needs into reliable systems for ingesting, transforming, and serving information from many external platforms and real-time events.

Responsibilities - Design and maintain scalable pipelines for data ingestion and transformation across batch and event-driven workflows. - Build secure, tenant-aware APIs and integration patterns for external systems. - Support varied authentication methods, including OAuth and API keys. - Monitor freshness, failures, and performance, and improve observability through alerts and other operational measures. - Optimize data flows for reliability, cost, and efficiency in a cloud environment. - Help make the integration platform extensible and straightforward for adding data sources.

Requirements - At least five years in data, software, or integration engineering, focused on ETL, APIs, or pipeline orchestration. - Strong Python skills and experience with SQL and BigQuery. - Experience building API-based ETL with REST, GraphQL, or webhooks, including authentication flows. - Familiarity with workflow orchestration tools such as Airflow. - Familiarity with Docker or Kubernetes. - Ability to deliver quickly while maintaining platform quality and stability.

Nice to have - Knowledge of OAuth 2.0, secrets management, and secure multi-tenant design. - Experience integrating enterprise systems such as ERP, CRM, or customer data platforms. - Exposure to real-time processing, data governance, regulatory compliance, or large-scale SaaS systems.

Benefits and work setup - Remote-friendly, with offices available in two U.S. cities. - Base salary range of $165,000–$210,000, plus equity. - Medical, dental, and vision coverage; 401(k); flexible paid time off; 12 paid holidays; and 12 weeks of paid parental leave. - $500 work-from-home stipend.