Northbeam

Technology

SeniorSoftwareEngineer,DataSystems(Python)

$170–200k Chicago, Illinois, United States; Tel Aviv, Israel; United States Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Software Engineer, Data Systems (Python) at Northbeam. Skills: Data Systems, Data Pipelines, API Integrations. Design scalable data pipelines. Implement scalable data pipelines”

Industry & Context.

Technology
Problems you'll solve

Curiosity; Troubleshooting

What They're Looking For.

Must Have

5+ years of experience, Proficiency in Python, Experience with API-based ETL, Experience implementing authentication flows, Proficiency in SQL, Proficiency in BigQuery, Experience with orchestration frameworks, Familiarity with containerization

Nice to Have

Detailed understanding of authentication mechanisms, Experience working with ERP systems, Experience working with CRMs, Experience working with CDPs, Experience working with complex enterprise data tools, Exposure to event-driven architectures, Exposure to real-time data processing tools, Knowledge of data governance, Knowledge of compliance, Knowledge of security best practices, Experience working in a multi-tenant SaaS environment, Experience working in a large-scale data-intensive environment

What You'll Do.

Design scalable data pipelines

Implement scalable data pipelines

Transform data from sources

Ensure pipeline reliability

Ensure pipeline observability

Ensure pipeline maintainability

Enable flexible data integrations

Enable secure data integrations

Enable tenant-aware data integrations

Work with event-driven architectures

Work with batch processing architectures

Ensure data freshness

Ensure data consistency

Drive clean API design

Drive integration patterns

Support real-time ingestion

Support batch ingestion

Handle diverse authentication mechanisms

Implement observability

Track performance issues

Optimize transformations

Balance rapid development

Create integration platform

How You'll Work.

Team & Collaboration

Cross-functional team; Product managers; Product engineers; Business leaders; Data engineering teams; Infrastructure teams; Product teams

Full Job 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, ads, 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. What this means is that out data systems team is foundational and load-bearing. As a data-tilted software 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 succ

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