Staff Data Engineer
Company: Lob
Location: Location not specified (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-05-08
About this role
Lob was founded in 2013 by technical co-founders with a vision to connect the world one mailbox at a time. Today, we're transforming the way businesses use direct mail and bringing the power of technology to a traditionally manual channel.
Our modern logistics and fulfillment engine helps businesses to build and scale high-quality, personalized direct mail programs without the operational burden. As we grow to meet the evolving needs of our customers and expand our product offerings, we’re building a team to shape the future of direct mail.
About The Role
We’re seeking an experienced Staff Data Engineer to lead the design and buildout of Lob’s next-generation unified event tracking platform. The consolidated platform will feed a diverse set of use cases, including both customer-facing analytics and internal operational mail tracking. You will work with your colleagues on the Data, Engineering, and Product teams to design the new platform and lead the transition away from the old. You will also coach and mentor engineers on your team and drive us to raise the bar on trustworthiness for the entire data ecosystem.
Some Projects To Get Excited About
- Collaborate with colleagues in the Data, Product, and Engineering teams to unify Lob’s foundational data ecosystem and enable the buildout of internal and external data products
- Create modular, reusable frameworks to enable other engineering teams to publish events to the unified platform
- Implement thorough monitoring and alerting to ensure the health of the data platform
- Apply software development best practices to ensure maintainability of the platform
- Partner with the Engineering Manager to set the Data team’s roadmap & define team processes
- Coach and mentor mid-level engineers on the Data team regarding technical best practices and problem-solving
- As a Staff Data Engineer, you’ll...
- Create and maintain documentation for data products and systems
- Advise stakeholders on the cons...