Northbeam
Staff Software Engineer, Data Systems (Python)
Northbeam, San Francisco, California, United States, 94199
Staff Software Engineer, Data Systems (Python)
Join Northbeam as a Staff Software Engineer, Data Systems (Python). Northbeam builds 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.
About Northbeam Northbeam is a remote‑friendly company with offices in San Francisco and Los Angeles. We are 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 will 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.
About the Role Northbeam is fundamentally a data product – the whole company. 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. 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. 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.
Provide technical leadership to various software engineers and drive the long term technical strategy with scalable architecture and best practices.
Build and maintain data ingestion pathways spanning APIs, file processing, and configurable inputs.
Own the data/infrastructure engineering aspects end‑to‑end from idea to solution as part of a cross‑functional effort with your peers.
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 augment the necessary infrastructure to scale our platform.
Write technical documentation for internal and external stakeholders.
What You Bring
Solid understanding of data processing needs of real‑time and batch systems for transactional and analytical processing.
Experience with SQL, Java, Scala, Spark, Python.
Experience designing and deploying high performance systems with reliable monitoring and logging practices.
Experience with data pipeline orchestration tools and practices.
8+ years of experience.
Bonus Skills & Experience
Experience in data engineering solutions such as BigQuery, Airflow, dbt, Kafka, Pinot.
Prior experience working in marketing, eCommerce, or ad‑tech.
Experience working with cloud infrastructure such as Google Cloud Platform, Azure, or AWS.
Experience or a desire to leverage infrastructure‑as‑code.
Base Salary Range $190,000—$220,000 USD. Actual compensation may vary based on experience, skills, and location.
Benefits 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.
EEO Statement Northbeam is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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About Northbeam Northbeam is a remote‑friendly company with offices in San Francisco and Los Angeles. We are 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 will 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.
About the Role Northbeam is fundamentally a data product – the whole company. 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. 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. 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.
Provide technical leadership to various software engineers and drive the long term technical strategy with scalable architecture and best practices.
Build and maintain data ingestion pathways spanning APIs, file processing, and configurable inputs.
Own the data/infrastructure engineering aspects end‑to‑end from idea to solution as part of a cross‑functional effort with your peers.
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 augment the necessary infrastructure to scale our platform.
Write technical documentation for internal and external stakeholders.
What You Bring
Solid understanding of data processing needs of real‑time and batch systems for transactional and analytical processing.
Experience with SQL, Java, Scala, Spark, Python.
Experience designing and deploying high performance systems with reliable monitoring and logging practices.
Experience with data pipeline orchestration tools and practices.
8+ years of experience.
Bonus Skills & Experience
Experience in data engineering solutions such as BigQuery, Airflow, dbt, Kafka, Pinot.
Prior experience working in marketing, eCommerce, or ad‑tech.
Experience working with cloud infrastructure such as Google Cloud Platform, Azure, or AWS.
Experience or a desire to leverage infrastructure‑as‑code.
Base Salary Range $190,000—$220,000 USD. Actual compensation may vary based on experience, skills, and location.
Benefits 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.
EEO Statement Northbeam is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
#J-18808-Ljbffr