Software Engineer (Data Systems, Python)

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

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- Curiosity, experience, and a desire to build data pipelines and applications at scale will be the key to success in this role

Deep knowledge of data pipeline orchestration tools and best practices (e.g., Airflow, dbt)

Experience designing and deploying high performance systems with reliable monitoring and logging practices

Strong understanding of data processing needs of real-time and batch systems for transactional and analytical processing

Experience working with cloud infrastructure such as Google Cloud Platform or AWS

Experience or a desire to leverage infrastructure-as-code- 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

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