N
Northbeam
Software Engineer (Data Systems, Python)
Skills
Google Cloud PlatformSQL QueriesE-commerce WebsitesFlaskPythonData ScienceMachine LearningAWSdbtFastAPIApache Airflow
1 month ago
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Important information
Contract type:
Permanent
Salary:
$140,000 – $155,000 / year
Location:
United States
Work mode:
Onsite
Published on:
23 September 2026
What they need
- 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- 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)
- Extensive experience with SQL and Python
- 2+ years of experience building and maintaining large-scale software systems
- 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 with implementing Python web services in Flask, FastAPI, or similar
- Experience working at small companies and wearing many hats
- Comfort with rapid system diagnosis, debugging, and remediation under pressure
- Prior experience working in marketing, e-commerce, or ad-tech
- 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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