Software Engineer, Data Systems (Python)

📋 Description

• Build and maintain reliable, maintainable data pipelines that ingest and transform information from
• Develop and support secure, tenant-aware APIs and integrations with external systems.
• Work with both event-driven and batch processing architectures to maintain fresh, consistent, and
• Contribute to API design and integration patterns supporting real-time and batch ingestion across
• Implement monitoring and alerting systems that identify data freshness issues, failures, and
• Improve existing data flows and transformations while balancing infrastructure costs, efficiency

🎯 Requirements

• 3+ years of experience in data engineering, software engineering, integration engineering, or a
• Solid working proficiency in Python.
• Experience building and integrating REST APIs; familiarity with GraphQL or webhooks is a plus.
• Comfortable working with SQL and with some exposure to cloud data warehouses such as BigQuery
• Experience or exposure to orchestration frameworks such as Airflow, Dagster, or Prefect.
• Willingness to work in a containerized environment using Docker.

🎁 Benefits

• Base salary range of $140,000–$155,000 USD.
• Equity package in addition to base salary.
• Comprehensive medical, dental, and vision healthcare benefits.
• 401(k) retirement plan.
• Flexible paid time off policy.
• 12 company-paid holidays.