Principal Software Engineer, Data Systems

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:

1. 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.
2. 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.
3. Design, implement, document, and scale customer-facing APIs, enabling customers to connect their data to Northbeam faster, decreasing the time to onboard.
4. 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:

1. Expert in:
1. SQL (write a SQL query that divides credit for a purchase event among marketing touchpoints that occurred prior to the purchase event)
2. Python (what are the most popular package managers in Python and what are their tradeoffs?)
3. Linux / UNIX (describe the role the filesystem cache plays on a UNIX system)
2. Strong understanding of:
1. Distributed data processing and analytics systems – e.g. BigQuery, Snowflake, Hadoop, Spark
2. Web browser mechanics – cookies, localStorage, XMLHttpRequest, etc.
3. Cloud infrastructure primitives – object stores, message queues, compute
4. Observability tools – logging, metric stores, application performance and error monitoring
3. 2+ years of experience focused on data-intensive data and analytics software products.
4. 2+ years of experience working inside web analytics systems or inside adtech systems.
5. 8+ years of experience in software development.
6. Enthusiasm for collaborating with both technical and non-technical stakeholders.

What would make us love you:

1. Bachelor's degree in Computer Science or Computer Engineering.
2. Architectural and hands-on experience with:
1. batch data processing and orchestration engines (we use Airflow extensively)
2. database engines – both traditional OLTP and modern OLAP systems
3. container technologies (Docker, Kubernetes)
3. Experience with web and frontend development.
4. Experience working in enterprise Martech, E-commerce, or SaaS.

Values

These are the values we share as the Northbeam community:

1. Growth mindset - we're always learning and growing
2. Customer focus - we want to make the customer happy with our product
3. Ownership mentality - we think like owners in the business
4. Radical candor - we're transparent and give direct feedback to one another