Software Engineer, Northbeam

• Curiosity, experience, and a desire to build data pipelines and applications at scale will be the key to success in this role
• Strong understanding of data processing needs of real-time and batch systems for transactional and analytical processing
• Extensive experience with SQL and Python
• Experience designing and deploying high performance systems with reliable monitoring and logging practices
• Deep knowledge of data pipeline orchestration tools and best practices (e.g., Airflow, dbt)
• 2+ years of experience building and maintaining large-scale software systems

Desirable

• We’re experiencing rapid growth, have strong product-market fit, and are looking for the right people to help us scale
• This is a rare chance to make a meaningful impact at a fast-moving, high-growth company
• At Northbeam, you’ll join a team of driven, collaborative, and talented individuals who value personal growth and excellence
• 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
• As a Data Engineer working at Northbeam, you will work with a cross-functional team of product managers, product engineers, and business leaders to translate our customers’ feedback into scalable data pipelines and products
• The work involves creating, maintaining, and improving a labyrinth of integrations and transformations in a complex network of touchpoints to keep everything running smoothly
• The system is powered by data that spans numerous ad platforms, a variety of order management systems (such as Shopify and Amazon), as well as our own real-time events that we collect as our customers navigate their online stores
• Work with our customers, product managers, product engineers, and customer support, to scope, build, and iterate high value solutions
• Design, build and optimize data ingestion and transformation pathways spanning APIs, file processing, and configurable inputs
• Maintain and enhance the data/infrastructure engineering aspects end-to-end ensuring high performance, scalability and reliability
• Work on the data pipeline architecture and optimize it for readability, maintainability, as well as cost
• Integrate with our machine learning and data science systems to deliver insights to our customers
• Maintain and enhance the necessary infrastructure to scale our platform
• Participate in engineering on-call rotations, addressing production issues and diving into both code and data to analyze and solve problems reported through customer-facing channels
• Write technical documentation for internal and external stakeholders

• 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