Staff Software Engineer, Experience - dbt Labs

Since 2016, dbt Labs has been on a mission to help analysts create and disseminate organizational knowledge. dbt Labs pioneered the practice of analytics engineering, built the primary tool in the analytics engineering toolbox, and has been fortunate enough to see a fantastic community coalesce to help push the boundaries of the analytics engineering workflow. Today there are 30,000 companies using dbt every week, 100,000 dbt Community members, and over 4,100 dbt Cloud customers. 

We are looking for a Staff Software Engineer to join the Experience group. In this role, you will partner with product and design to create delightful and powerful tools for analytics engineers. We are building a tailor-made IDE that is deeply-integrated with the dbt ecosystem (including other dbt Cloud products), aiming to put more context at the fingertips of our users than theyre able to get in any other development environment. You will provide technical leadership to the team by doing. Data teams everywhere will use your work to create organizational knowledge and power their daily business decisions.

In this role, you can expect to

• Continuously improve our IDE’s core backend architecture, performance, and scalability while relentlessly expanding its feature-set and capabilities

• Manage trade-offs, priorities, and deliverables by applying your experience in bringing projects to successful completion

• Work with product to define and instrument important usage metrics and KPIs for the Cloud IDE

• Enable teammates to build confidently and quickly via high-leverage tooling, mentorship, and your experience and knowledge of industry trends and practices

• Define quality standards and drive the overall reliability of our IDE

• Support the career development of team members by providing mentorship and coaching on design patterns, backend architecture, and technical decision-making

Qualifications

• Have 8+ years of experience as a software engineer

• Minimum requirement of bachelors degree in a related field (computer science, computer engineering, etc.) OR completed enrollment in engineering related bootcamp

You are a good fit if you

• Have experience with using Python or Go to create scalable applications. For example, you have built services for applications with complicated workflows

• Enjoy working closely with product and design

• Value interacting with end-users and deeply understand their needs

• Understand how to make tradeoffs to ship useful features today without sacrificing long-term quality

• Prefer to work in the backend, but have experience with the frontend and can reason about the end-to-end system

• Have experience collaborating with multiple teams (e.g,. infra, upstream services, etc.) to drive projects and features to completion

You have an edge if you

• Have worked on an application similar to this one, such as a visual design tool, an analytics application, or an IDE

• Have experience scaling applications, especially those with runtimes in Kubernetes and AWS

• Have experience working in a distributed company

Compensation & Benefits

• Salary: $217,000-$293,000

• Equity Stake

• Benefits - dbt Labs offers:

o Unlimited vacation (and yes we use it!)

o 401k w/3% guaranteed contribution

o Excellent healthcare

o Paid Parental Leave

o Wellness stipend

o Home office stipend, and more!

What to expect in the hiring process:

• An introductory call with a member of our Talent team

• A technical screen and meeting with the Hiring Manager

• A panel interview including multiple members of the Engineering Team

• A final interview with our CTO, Mark Porter

Who we are

At dbt Labs, we have developed strong opinions on how companies should practice analytics.

Specifically, we believe that:

• Code, not graphical user interfaces, is the best abstraction to express complex analytic logic

• Data analysts should adopt similar practices and tools to software developers

• Critical analytics infrastructure should be controlled by its users as open source software

• Analytic code itself — not just analytics tools — will increasingly be open source