Senior Software Engineer, Data Systems (Python)

Silversmith Capital Partners; United States; On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Equity package

Generous base salary

Healthcare Benefits (medical, dental, vision)

Flexible PTO Policy

12 Company Paid Holidays

Job summary

Silversmith Capital Partners is looking for an experienced Data Engineer. In this role, you will collaborate with cross-functional teams to create scalable data pipelines and products, ensuring the performance and reliability of data systems.

The ideal candidate will have extensive experience with SQL and Python, alongside 5+ years in building large-scale software systems. You will play a foundational role in optimizing data processes and integrating machine learning systems to provide valuable insights.

Qualifications

• 5+ years of experience building and maintaining large-scale software systems.
• Strong understanding of data processing needs for transactional and analytical processing.
• Deep knowledge of data pipeline orchestration tools and best practices.

Responsibilities

• Work with cross-functional teams to build and iterate high-value solutions.
• Design, build, and optimize data ingestion and transformation pathways.
• Maintain high performance, scalability, and reliability of data infrastructure.

Skills

SQL

Python

Data pipeline orchestration tools

Real-time and batch systems

Monitoring and logging practices

Job description

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.

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