Northbeam is hiring a
Staff Data Engineer

Summary

The job is for a Staff Data Engineer at Northbeam, a fast-growing marketing intelligence platform company. The role involves working with cross-functional teams to build, maintain, and scale data pipelines that power the product offering. The candidate should have expertise in Python, SQL, and Linux/UNIX terminals, and at least six to eight years of experience.

Requirements

• Expert in Python, SQL, and Linux / UNIX terminals
• Six to eight years of experience, thrives in a startup stage
• Solid understanding of the applications for: Database engines – both traditional OLTP and distributed OLAP systems, Cloud infrastructure primitives – object stores, message queues, compute, Observability tools – logging, metric stores, application performance and error monitoring
• Experience with building orchestrated batch data processing pipelines, in particular for large-scale (> 1TB) analytics

Responsibilities

• Partner with product managers, engineers, leadership to build products to solve high-value customer problems
• Expand the functionality of the large-scale number crunching systems which power the core of our marketing attribution algorithms by integrating with various data sources
• Build creative solutions to handle data coming from many sources (S3, SFTP, email, and more) of many different types (Parquet, JSON, CSV, Thrift) in an extensible and sustainable manner
• Design, implement, document, and scale customer-facing APIs, enabling customers to connect their data to Northbeam faster, decreasing the time to onboard
• Design, develop and maintain the data models and transformations that will enable us to accelerate product development on our core ecommerce analytics product
• Establish best practices, frameworks, and repeatable processes that enable us to measure the impact of changes to our complex systems
• Mentor younger members of the engineering team, promoting organizational growth while maintaining a high bar for excellence and technical curiosity

Preferred Qualifications

• Enthusiasm for collaborating with both technical and non-technical stakeholders
• Prior experience in marketing, ecommerce, ad-tech, or enterprise SaaS
• Experience with real-time data processing pipelines
• Experience working with external APIs – in particular, building resiliency and observability in the face of API outages, rate limits, and customer faults
• Experience with parts of our tech stack – BigQuery (and open source alternatives), Airflow, dbt, Apache Beam

Benefits

• Equity package
• Generous base salary
• Healthcare Benefits (medical, dental, vision)
• Travel to meet with the team
• Flexible PTO Policy
• 12 Company Paid Holidays