Software Engineer, Northbeam

• Curiosity, a bias toward shipping, and a real appetite for building data pipelines at scale are what matter most here
• 3+ years of experience in data engineering, software engineering, or integration engineering, with exposure to ETL, APIs, or data pipeline work
• Solid working proficiency in Python
• Experience building against REST APIs; familiarity with GraphQL or webhooks is a plus
• Comfort with SQL and some exposure to a cloud data warehouse (BigQuery, Snowflake, Redshift, or similar)
• Some exposure to orchestration frameworks such as Airflow, Dagster, or Prefect
• Willingness to work in a containerized environment (Docker)
• A track record of shipping steadily and asking good questions when the path isn't obvious

Desirable

• As a data-tilted software engineer at Northbeam, you'll work alongside product managers, product engineers, and business leaders to turn customer needs into reliable data pipelines and products
• You'll be supported by engineers who have built these systems before, with room to take on more ownership as you grow into the team
• The work involves building, maintaining, and improving a labyrinth of integrations and transformations across a complex network of touchpoints
• The system is powered by data spanning numerous ad platforms, a variety of order management systems (Shopify, Amazon, and others), and our own real-time events collected as customers navigate their online stores
• This is a startup. The one thing that's constant is change. To start with, you can expect to:
• Build and maintain data pipelines that ingest and transform data from a variety of sources, with an eye toward reliability and maintainability
• Develop and support APIs that enable secure, tenant-aware data integrations with external systems
• Work within event-driven and batch processing architectures to keep data fresh and consistent
• Contribute to API design and integration patterns that support both real-time and batch ingestion across different authentication mechanisms (OAuth, API keys, etc.)
• Add monitoring and alerting that surfaces data freshness issues, failures, and performance problems before customers notice them
• Improve existing data flows and transformations, weighing cost, efficiency, and speed of delivery in a cloud-native environment
• Partner with data engineering, infrastructure, and product teams to make our integration platform easier to extend and onboard new sources into
• You'll work with great people who have done this many times before. You'll teach them some new tricks, and pick up some old ones

• We accept applications on an ongoing basis
• The interview process varies by role but typically begins with a 30-minute interview with a Northbeam recruiter, followed by a video interview with the hiring manager
• Next, candidates complete a role-specific video interview followed by video or onsite interviews with several team members. The final step is a video interview with our CEO/Co-founder
• The final step is a video interview with our CEO/Co-founder. The entire interview process is usually 5-7 interviews total and requires around 5-8 hours of your time