About Us Northbeam is building the world's most advanced marketing intelligence platform for growth. Our attribution modeling technology and customizable dashboards provide our customers with a unified view of their e-commerce business data. The smartest brands in ecommerce trust Northbeam to accurately attribute their advertising spend, understand the entire customer journey, and make data-driven decisions to grow profitably. Northbeam's team and customer base are growing quickly, and it's essential that we invest in the right people & systems to scale our business. Our business has found incredible product-market fit and continues to grow rapidly. This is a career-defining opportunity for an experienced engineer to accelerate their growth and contribute to a rapidly-scaling company. The Northbeam team is composed of hard-working and talented individuals focused on collaboration, personal growth, and technical excellence. We would love for you to join us!
Job Description 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. What this means is that the data eng team is foundational and load-bearing. 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 customer's 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.
About the Role You can expect to:
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.
About You
Requirements
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).
5+ years of experience building and maintaining large-scale software systems
Good to have
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
Values These are the values we share as the Northbeam community:
Growth mindset - we're always learning and growing
Customer focus - we want to make the customer happy with our product
Ownership mentality - we think like owners in the business
Radical candor - we're transparent and give direct feedback to one another
Benefits
Equity package
Generous base salary
Healthcare Benefits (medical, dental, vision)
Travel to meet with the team
Flexible PTO Policy
12 Company Paid Holidays

About Us Northbeam is building the world's most advanced marketing intelligence platform for growth. Our attribution modeling technology and customizable dashboards provide our customers with a unified view of their e-commerce business data. The smartest brands in ecommerce trust Northbeam to accurately attribute their advertising spend, understand the entire customer journey, and make data-driven decisions to grow profitably. Northbeam's team and customer base are growing quickly, and it's essential that we invest in the right people & systems to scale our business. Our business has found incredible product-market fit and continues to grow rapidly. This is a career-defining opportunity for an experienced engineer to accelerate their growth and contribute to a rapidly-scaling company. The Northbeam team is composed of hard-working and talented individuals focused on collaboration, personal growth, and technical excellence. We would love for you to join us! Job Description 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. What this means is that the data eng team is foundational and load-bearing. 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 customer's 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. About the Role You can expect to: <ul> <li>Work with our customers, product managers, product engineers, and customer support, to scope, build, and iterate high value solutions. </li><li>Design, build and optimize data ingestion and transformation pathways spanning APIs, file processing, and configurable inputs. </li><li>Maintain and enhance the data/infrastructure engineering aspects end-to-end ensuring high performance, scalability and reliability </li><li>Work on the data pipeline architecture and optimize it for readability, maintainability, as well as cost. </li><li>Integrate with our machine learning and data science systems to deliver insights to our customers. </li><li>Maintain and enhance the necessary infrastructure to scale our platform. </li><li>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. </li><li>Write technical documentation for internal and external stakeholders. </li></ul>About You Requirements <ul> <li>Strong understanding of data processing needs of real-time and batch systems for transactional and analytical processing </li><li>Extensive experience with SQL and Python </li><li>Experience designing and deploying high performance systems with reliable monitoring and logging practices </li><li>Deep knowledge of data pipeline orchestration tools and best practices (e.g., Airflow, dbt). </li><li>5+ years of experience building and maintaining large-scale software systems </li></ul>Good to have <ul> <li>Experience with implementing Python web services in Flask, FastAPI, or similar </li><li>Experience working at small companies and wearing many hats </li><li>Comfort with rapid system diagnosis, debugging, and remediation under pressure </li><li>Prior experience working in marketing, e-commerce, or ad-tech </li><li>Experience working with cloud infrastructure such as Google Cloud Platform or AWS </li><li>Experience or a desire to leverage infrastructure-as-code </li></ul>Values These are the values we share as the Northbeam community: <ul> <li>Growth mindset - we're always learning and growing </li><li>Customer focus - we want to make the customer happy with our product </li><li>Ownership mentality - we think like owners in the business </li><li>Radical candor - we're transparent and give direct feedback to one another </li></ul>Benefits <ul> <li>Equity package </li><li>Generous base salary </li><li>Healthcare Benefits (medical, dental, vision) </li><li>Travel to meet with the team </li><li>Flexible PTO Policy </li><li>12 Company Paid Holidays </li> </ul>

San Francisco Bay Area | Hybrid Please note: This is a SFBA-based hybrid position which will require some regular in-office days in downtown San Francisco each week. About us Northbeam is building the world's most advanced marketing intelligence platform for growth. Our marketing measurement technology and customizable dashboards provide our customers with a unified view of their e-commerce business data. The smartest brands in ecommerce trust Northbeam to accurately attribute their advertising spend, understand the entire customer journey, and make data-driven decisions to grow profitably. Northbeam's team and customer base are growing quickly, and it's essential that we invest in the right people & systems to scale our business. Our business has found incredible product-market fit and continues to grow rapidly. Northbeam is composed of hard-working and talented individuals focused on collaboration, personal growth, and technical excellence. We would love for you to join us! We're a hybrid-remote company with team members in San Francisco, Los Angeles, New York, and more. About the role This role is for a product-minded engineer who thrives in building data-intensive systems. You will both provide architectural direction for, and execute on, a large product surface area. Example projects that you may be responsible for: <ul> <li>Expand the functionality of the large-scale number crunching systems which power the core of our marketing attribution algorithms by integrating with various data sources. </li><li>Build creative solutions to handle data coming from many sources (S3, SFTP, email, and more) of many different types (Parquet, JSON, CSV, Thrift) in an extensible and sustainable manner. </li><li>Design, implement, document, and scale customer-facing APIs, enabling customers to connect their data to Northbeam faster, decreasing the time to onboard. </li><li>Design, develop and maintain the data models and transformations that will enable us to accelerate product development on our core ecommerce analytics product. </li></ul>About you What you need to get the job done <ul> <li>Expert in </li><ul> <li>SQL </li> <li>Python </li> </ul><li>Strong understanding of: </li><ul> <li>Linux / UNIX networking and file systems </li><li>Distributed data processing and analytics systems - e.g. BigQuery, Snowflake, Hadoop, Spark </li><li>Web browser mechanics - cookies, localStorage, XMLHttpRequest, etc. </li><li>Cloud infrastructure primitives - object stores, message queues, compute </li><li>Observability tools - logging, metric stores, application performance and error monitoring </li></ul> <li>2+ years of experience focused on data-intensive data and analytics software products. </li><li>2+ years of experience working inside web analytics systems or inside adtech systems. </li><li>8+ years of experience in software development. </li><li>Enthusiasm for collaborating with both technical and non-technical stakeholders. </li></ul>What would make us love you <ul> <li>Bachelor's degree in Computer Science or Computer Engineering. </li><li>Architectural and hands-on experience with </li><ul> <li>batch data processing and orchestration engines (we use Airflow extensively) </li><li>database engines - internals of both traditional OLTP and modern OLAP systems </li><li>container technologies (Docker, Kubernetes) </li></ul> <li>Experience with web and frontend development. </li><li>Experience working in enterprise Martech, E-commerce, or SaaS. </li></ul>Values These are the values we share as the Northbeam community: <ul> <li>Growth mindset - we're always learning and growing </li><li>Customer focus - we want to make the customer happy with our product </li><li>Ownership mentality - we think like owners in the business </li><li>Radical candor - we're transparent and give direct feedback to one another </li> </ul>

About Us Northbeam is building the world's most advanced marketing intelligence platform for growth. Our marketing measurement technology and customizable dashboards provide our customers with a unified view of their e-commerce business data. The smartest brands in ecommerce trust Northbeam to accurately attribute their advertising spend, understand the entire customer journey, and make data-driven decisions to grow profitably. Northbeam's team and customer base are growing quickly, and it's essential that we invest in the right people & systems to scale our business. Our business has found incredible product-market fit and continues to grow rapidly. Northbeam is composed of hard-working and talented individuals focused on collaboration, personal growth, and technical excellence. We would love for you to join us! We're a remote-first company with team members in San Francisco, Los Angeles, New York, and more. About the Role As a staff-level team member on Marketing Science, you can expect to work on the following: <ul> <li>Lead R&D for new and existing data science powered products at Northbeam. </li><li>Collaborate with our engineering and product teams to take working proofs of concept into production for our growing customer base. </li><li>Provide technical expertise and support for non-technical stakeholders (internal and external). </li><li>Educate colleagues in other departments about the use of data science in marketing and advertising. </li></ul>About You Requirements <ul> <li>Bachelor's degree in Mathematics, Computer Science, or a highly quantitative STEM field </li><li>Strong first-principles understanding of statistics, linear algebra, probability, and machine learning </li><li>Experience with at least three of the following: regression, time series analysis, causal inference, statistical testing, Bayesian modeling, optimization, signal processing </li><li>Strong programming skills, and ability to implement data science solutions within a production codebase using clean, interpretable, and maintainable code </li><li>Expertise in Python </li><li>Minimum 4+ years of professional experience as a data scientist, ML engineer, or quant </li><li>Experience with (or enthusiasm about) in a small, fast-paced company, and leading the implementation of projects start-to-finish in a results driven startup environment </li><li>Experience with differentiable programming or probabilistic programming (e.g., TensorFlow, PyTorch, JAX, Pyro, PyMC) </li><li>Experience with low-level numerical programming and optimizing code written using tensor libraries </li><li>Experience in working with cloud infrastructure such as Google Cloud Platform, Azure, and AWS </li><li>Expertise in software architecture, distributed systems architecture, or data engineering </li></ul>Good to Have <ul> <li>MS, PhD, or academic research experience with a focus on quantitative or statistical methods </li></ul>Values <ul> <li>Growth mindset - we're always learning and growing </li><li>Customer focus - we want to make the customer happy with our product </li><li>Ownership mentality - we think like owners in the business </li><li>Radical candor - we're transparent and give direct feedback to one another </li><li>Empathic disposition - we're kind to one another and help each other grow </li></ul>Benefits <ul> <li>Equity package </li><li>Generous base salary </li><li>Healthcare Benefits (medical, dental, vision) </li><li>Travel to meet with the team </li><li>Flexible PTO Policy </li><li>12 Company Paid Holidays </li> </ul>

About Us Northbeam is building the world's most advanced marketing intelligence platform for growth. Our attribution modeling technology and customizable dashboards provide our customers with a unified view of their e-commerce business data. The smartest brands in ecommerce trust Northbeam to accurately attribute their advertising spend, understand the entire customer journey, and make data-driven decisions to grow profitably. Northbeam's team and customer base are growing quickly, and it's essential that we invest in the right people & systems to scale our business. Our business has found incredible product-market fit and continues to grow rapidly. This is a career-defining opportunity for an experienced engineer to accelerate their growth and contribute to a rapidly-scaling company. The Northbeam team is composed of hard-working and talented individuals focused on collaboration, personal growth, and technical excellence. We would love for you to join us! Job Description 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 customer's feedback into scalable data pipelines and products. Marketing attribution for the direct-to-consumer (DTC) space involves creating, maintaining and improving a labyrinth of 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 customer's 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. About the Role You can expect to: <ul> <li>Work with our customers, product managers, product engineers, and customer support, to scope, build, and iterate high value solutions. </li><li>Provide technical leadership to various software engineers and drive the long term technical strategy with scalable architecture and best practices. </li><li>Build and maintain data ingestion pathways spanning APIs, file processing, and configurable inputs. </li><li>Own and Implement the data/infrastructure engineering aspects end-to-end from idea to solution as part of a cross functional effort with your peers. </li><li>Work on the data pipeline architecture and optimize it for readability, maintainability, as well as cost. </li><li>Integrate with our machine learning and data science systems to deliver insights to our customers. </li><li>Maintain and augment the necessary infrastructure to scale our platform. </li><li>Write technical documentation for internal and external stakeholders. </li></ul>About You Requirements <ul> <li>Solid understanding of data processing needs of real-time and batch systems for transactional and analytical processing </li><li>Experience with SQL / Java / Scala / Spark / Python </li><li>Experience designing and deploying high performance systems with reliable monitoring and logging practices </li><li>Experience with data pipeline orchestration tools and practices </li><li>Six to eight plus years of experience </li></ul>Good to have <ul> <li>Experience in data engineering solutions such as Bigquery, Airflow, dbt, Kafka, Pinot </li><li>Prior experience working in marketing, e-commerce, or ad-tech </li><li>Experience working with cloud infrastructure such as Google Cloud Platform, Azure, or AWS </li><li>Experience or a desire to leverage infrastructure-as-code </li></ul>Values These are the values we share as the Northbeam community: <ul> <li>Growth mindset - we're always learning and growing </li><li>Customer focus - we want to make the customer happy with our product </li><li>Ownership mentality - we think like owners in the business </li><li>Radical candor - we're transparent and give direct feedback to one another </li></ul>Benefits <ul> <li>Equity package </li><li>Generous base salary </li><li>Healthcare Benefits (medical, dental, vision) </li><li>Travel to meet with the team </li><li>Flexible PTO Policy </li><li>12 Company Paid Holidays </li> </ul>

About Us Northbeam is building the world's most advanced marketing intelligence platform for growth. Our attribution modeling technology and customizable dashboards provide our customers with a unified view of their e-commerce business data. The smartest brands in ecommerce trust Northbeam to accurately attribute their advertising spend, understand the entire customer journey, and make data-driven decisions to grow profitably. Northbeam's team and customer base are growing quickly, and it's essential that we invest in the right people & systems to scale our business. Our business has found incredible product-market fit and continues to grow rapidly. This is a career-defining opportunity for an experienced engineer to accelerate their growth and contribute to a rapidly-scaling company. The Northbeam team is composed of hard-working and talented individuals focused on collaboration, personal growth, and technical excellence. We would love for you to join us Job Description 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 customer's feedback into scalable data pipelines and products. Marketing attribution for the direct-to-consumer (DTC) space involves creating, maintaining and improving a labyrinth of 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 customer's 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. About the Role You can expect to: 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 and Implement 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. About You Requirements 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 Six to eight plus years of experience Good to have Experience in data engineering solutions such as Bigquery, Airflow, dbt, Kafka, Pinot Prior experience working in marketing, e-commerce, 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 Values These are the values we share as the Northbeam community: Growth mindset - we're always learning and growing Customer focus - we want to make the customer happy with our product Ownership mentality - we think like owners in the business Radical candor - we're transparent and give direct feedback to one another Benefits Equity package Generous base salary Healthcare Benefits (medical, dental, vision) Travel to meet with the team Flexible PTO Policy 12 Company Paid Holidays

San Francisco Bay Area | Hybrid Please note: This is a SFBA-based hybrid position which will require some regular in-office days in downtown San Francisco each week. About us Northbeam is building the world's most advanced marketing intelligence platform for growth. Our marketing measurement technology and customizable dashboards provide our customers with a unified view of their e-commerce business data. The smartest brands in ecommerce trust Northbeam to accurately attribute their advertising spend, understand the entire customer journey, and make data-driven decisions to grow profitably. Northbeam's team and customer base are growing quickly, and it's essential that we invest in the right people & systems to scale our business. Our business has found incredible product-market fit and continues to grow rapidly. Northbeam is composed of hard-working and talented individuals focused on collaboration, personal growth, and technical excellence. We would love for you to join us We're a hybrid-remote company with team members in San Francisco, Los Angeles, New York, and more. About the role This role is for a product-minded engineer who thrives in building data-intensive systems. You will both provide architectural direction for, and execute on, a large product surface area. Example projects that you may be responsible for: Expand the functionality of the large-scale number crunching systems which power the core of our marketing attribution algorithms by integrating with various data sources. Build creative solutions to handle data coming from many sources (S3, SFTP, email, and more) of many different types (Parquet, JSON, CSV, Thrift) in an extensible and sustainable manner. Design, implement, document, and scale customer-facing APIs, enabling customers to connect their data to Northbeam faster, decreasing the time to onboard. Design, develop and maintain the data models and transformations that will enable us to accelerate product development on our core ecommerce analytics product. About you What you need to get the job done Expert in SQL Python Strong understanding of: Linux / UNIX networking and file systems Distributed data processing and analytics systems - e.g. BigQuery, Snowflake, Hadoop, Spark Web browser mechanics - cookies, localStorage, XMLHttpRequest, etc. Cloud infrastructure primitives - object stores, message queues, compute Observability tools - logging, metric stores, application performance and error monitoring 2 years of experience focused on data-intensive data and analytics software products. 2 years of experience working inside web analytics systems or inside adtech systems. 8 years of experience in software development. Enthusiasm for collaborating with both technical and non-technical stakeholders. What would make us love you Bachelor's degree in Computer Science or Computer Engineering. Architectural and hands-on experience with batch data processing and orchestration engines (we use Airflow extensively) database engines - internals of both traditional OLTP and modern OLAP systems container technologies (Docker, Kubernetes) Experience with web and frontend development. Experience working in enterprise Martech, E-commerce, or SaaS. Values These are the values we share as the Northbeam community: Growth mindset - we're always learning and growing Customer focus - we want to make the customer happy with our product Ownership mentality - we think like owners in the business Radical candor - we're transparent and give direct feedback to one another

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Software Engineer Northbeam Llc Jobs

Senior Software Engineer Data SystemsDecember 15, 2024

Senior Software Engineer Data SystemsDecember 14, 2024

Principal Software Engineer Data SystemsDecember 5, 2024

Staff Software EngineerDecember 5, 2024

Staff Software Engineer Data SystemsDecember 5, 2024

Principal Software Engineer Data SystemsDecember 2, 2024

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Principal Software Engineer Data SystemsNovember 28, 2024