Software Engineer (Data Systems, Python)

- Curiosity, a bias toward shipping, and a real appetite for building data pipelines at scale are what matter most here - Willingness to work in a containerized environment (Docker) - Experience building against REST APIs; familiarity with GraphQL or webhooks is a plus - Solid working proficiency in Python - Some exposure to orchestration frameworks such as Airflow, Dagster, or Prefect - A track record of shipping steadily and asking good questions when the path isn't obvious - 3+ years of experience in data engineering, software engineering, or integration engineering, with exposure to ETL, APIs, or data pipeline work - Comfort with SQL and some exposure to a cloud data warehouse (BigQuery, Snowflake, Redshift, or similar) - Experience implementing authentication flows (OAuth 2.0, API keys, secrets management) - Familiarity with Kubernetes or other production deployment tooling - Experience working with ERP systems, CRMs, CDPs, or other enterprise data tools and their APIs - Exposure to event-driven architectures and real-time data processing tools - Awareness of data governance and compliance considerations (GDPR, SOC 2) - Experience in a multi-tenant SaaS or data-intensive environment

Join Northbeam, a startup focused on building reliable data pipelines and products. As a Software Engineer specializing in data systems and Python, you will work closely with product managers, engineers, and business leaders to turn customer needs into actionable data solutions. You will be…