Staff Software Engineer, Northbeam

• 8+ years of software or data engineering experience, including significant time owning the architecture of large-scale ingestion, ETL, or integration platforms
• Deep proficiency in Python, and strong SQL and cloud data warehouse experience (BigQuery or equivalent)
• A track record of designing API-based ETL systems at scale — REST, GraphQL, webhooks, and the authentication and multi-tenancy concerns that come with them
• Production depth with orchestration (Airflow or similar) and containerized infrastructure (Docker, Kubernetes)
• Demonstrated technical leadership: setting direction, aligning engineers who don't report to you, and improving how a team builds, not just what it ships
• Experience mentoring engineers and elevating engineering practice across a team or org
• Sound judgment about when to invest in platform durability and when to ship and move on

Desirable

• Northbeam is fundamentally a data product - the whole company. We don’t sell shoes, ads, or games. We sell data: quality integrations with a variety of platforms, fresh and reliable data pulls, robust data ingest APIs, correct aggregations, and algorithmic insights on top of that data, all packaged up in a user-facing application
• What this means for you is that high-quality, robust data integration is at the core of what we do, and your work will have a direct connection to the company’s success
• Our data systems team is foundational and load-bearing, and this role sets its technical direction. As a Staff engineer, you'll own the architecture of the integration and ingestion platform that the rest of the company builds on — deciding how we onboard new sources, where the abstractions live, and what "reliable" means in practice
• You'll work across product, engineering, and with business leaders, and your judgment will shape what the team builds long after any individual project ships
• The work involves a labyrinth of integrations and transformations across a complex network of touchpoints, powered by data spanning numerous ad platforms, order management systems (Shopify, Amazon, and others), and our own real-time event collection
• Own the architecture of our ingestion and integration platform, setting the patterns that determine how quickly and safely we onboard new data sources
• Define technical direction for event-driven and batch processing across the company, and make the build/buy and migration calls that go with it
• Establish the standards for observability, data freshness, and failure handling that the data systems team works to — and hold the bar on them
• Lead design across team boundaries, working with data engineering, infrastructure, and product to keep platform decisions coherent
• Raise the ceiling of the engineers around you through design review, mentorship, and the code you write
• Identify the platform problems nobody has scoped yet, make the case for solving them, and drive them to completion

• 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 entire interview process is usually 5-7 interviews total and requires around 5-8 hours of your time