Software Engineer, Data Systems (Python) at Northbeam

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Full Time

Start Date

Immediate

Expiry Date

16 Feb, 26

Salary

155000.0

Posted On

19 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Data Processing, Data Pipelines, APIs, File Processing, Data Ingestion, Data Transformation, Monitoring, Logging, Machine Learning, Data Science, Cloud Infrastructure, Infrastructure-as-Code, Debugging, E-commerce

Industry

technology;Information and Internet

Description

About Northbeam Northbeam is building the world’s most advanced marketing intelligence platform, providing top eCommerce brands a unified view of their business data through powerful attribution modeling and customizable dashboards. Our technology helps customers accurately track ad spend, understand the full customer journey, and drive profitable growth. 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’d love for you to be part of our journey. We’re a remote-friendly company with offices in San Francisco and Los Angeles. About the Role Northbeam is fundamentally a data product - the whole company. We don’t sell shoes, or ads, or games, or database technologies. We sell data: quality integrations with a variety of platforms, fresh and reliable data pulls, correct aggregations, and algorithmic insights on top of that data, all packaged up in a user-facing application. This means the data systems team is foundational and load-bearing. As a Data Systems 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. Curiosity, experience, and a desire to build data pipelines and applications at scale will be the key to success in this role. Your Impact 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. What You Bring 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 Bonus Skills & Experience 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 Base Salary Range $140,000—$155,000 USD Actual compensation may vary based on experience, skills, and location. In addition to your base salary, we offer an equity package, comprehensive healthcare benefits (medical, dental, and vision), and a 401(k) plan. Our team enjoys a flexible PTO policy, 12 company-paid holidays, and 12 weeks of paid parental leave. We also provide a $500 work-from-home stipend to support your remote setup. Interview Process 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. We accept applications on an ongoing basis.

Responsibilities

As a Data Systems Engineer, you will work with a cross-functional team to translate customer feedback into scalable data pipelines and products. You will design, build, and optimize data ingestion and transformation pathways while maintaining high performance and reliability.