Staff Software Engineer, Data

3 weeks ago

Can Tho, Can Tho, Vietnam Northbeam Full time
About Us

Northbeam is a leading provider of marketing intelligence solutions for growth-oriented businesses. Our cutting-edge attribution modeling technology and customizable dashboards empower customers to make data-driven decisions and drive profitable growth.

Job Description

We are seeking an experienced Data Engineer to join our team and contribute to the development of our scalable data pipelines and products. As a key member of our cross-functional team, you will work closely with product managers, product engineers, and business leaders to design, build, and maintain high-performance systems that meet the complex needs of our customers.

Our marketing attribution solution involves creating, maintaining, and improving a complex network of transformations to keep everything running smoothly. You will work with a variety of data sources, including ad platforms, order management systems, and real-time events, to build scalable data pipelines and applications.

About the Role
  • Collaborate with customers, product managers, product engineers, and customer support to scope, build, and iterate high-value solutions.
  • Provide technical leadership to software engineers and drive the long-term technical strategy with scalable architecture and best practices.
  • Design and build 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, and 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.
Requirements
  • Solid understanding of data processing needs of real-time and batch systems for transactional and analytical processing.
  • Experience with SQL, Java, Scala, Spark, and 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, and 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
  • 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.

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