Senior Software Engineer, Data Systems
Northbeam
πRemote - Worldwide
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Job highlights
Summary
Join Northbeam, a rapidly growing company building a leading marketing intelligence platform, as a Data Engineer. You will collaborate with cross-functional teams to design, build, and maintain scalable data pipelines and products. This role requires extensive experience with SQL and Python, data pipeline orchestration tools, and building large-scale systems. You will work with various data sources, including ad platforms and order management systems, to ensure data quality and reliability. The position offers a chance to contribute to a rapidly scaling company and make a significant impact on the product. Northbeam values collaboration, personal growth, and technical excellence.
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
Responsibilities
- 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
Preferred Qualifications
- 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
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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