dbt Labs

Staff Software Engineer, Shared Services

Remote Ireland
Python Go Kubernetes AWS API
Description

About Us

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. You can learn more about our values here.
 

dbt Labs is looking for a passionate and experienced Staff Software Engineer to join our Shared Services group.

The vision of Shared Services’ is to build, maintain, and own services, patterns, and libraries that establish dbt Labs’ product foundations and can be used by other teams as tools and building blocks to achieve high quality, consistency, simplicity, reliability, and velocity in the experiences they build, without needing to re-invent the basics.

As the dedicated Staff Engineer, you’ll be the technical backbone for the team, providing technical guidance and leadership, as well as direct technical contributions. You must be able to inspire those around you with a deep passion and hunger to solve ambiguous problems. This is chance to build and deliver both customer-facing APIs and internal tools, used by our fast-growing customer base and engineering organization.

In this role, you can expect to:

  • Define the architecture and guide the implementation of dbt Cloud’s Shared Services and public APIs — including backend services, 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 teammates to build confidently and quickly via high-leverage tooling, mentorship, and your experience and knowledge of industry trends and practices.
  • Help define quality standards and drive the overall reliability of our services.
  • Participate in daily stand-ups, mentee sessions, and pair programming.

Qualifications:

  • Have 8+ years of experience as a software engineer.
  • Minimum requirement of bachelor's 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, Go, or similar languages to create scalable full-stack applications. For example, you have built services for applications with complex workflows.
  • Enjoy working on large-scale, event-driven systems.
  • Value balancing architectural and business tradeoffs.
  • Have experience working on Enterprise SaaS Products.
  • Understand how to make tradeoffs to ship useful features today without sacrificing long-term quality.
  • Have strong backend skills and can reason about the end-to-end system and customer experience.

You have an edge if you

  • Have worked on a experience working internal libraries, standards, and tools.
  • Have experience scaling applications, especially those with runtimes in Kubernetes and AWS.
  • Have experience working in a distributed company.

 

Compensation & Benefits

  • Salary: 130,000 - 165,000 Euro per annum
  • Equity Stake
  • Ireland Benefits - dbt Labs offers:
    • Unlimited vacation (and yes we use it!)
    • Excellent healthcare
    • Group Retirement Savings Program
    • Paid Parental Leave
    • Wellness stipend
    • Home office stipend, and more!

*Equity or comparable benefits may be offered depending on the legal limitations

What to expect in the hiring process (all video interviews unless accommodations are needed):

  1. Interview with Talent Acquisition Partner
  2. Interview with Hiring Manager
  3. Team Interviews
  4. Final interview with one of our Values Carriers

Who we are

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

Specifically, we believe that:

  • Code-based transformations offer unmatched flexibility and transparency across various “multi-player” development to power everyone in the organization to collaborate on a common language
  • 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

It turns out that a lot of other people believe this too! Today, there are 30,000 companies using dbt every week, 100,000 dbt Community members, and 4,100 companies paying for dbt Cloud. Our customers include JetBlue, Hubspot, Vodafone New Zealand, and Dunelm. dbt is synonymous with the practice of analytics engineering, defining an entire industry. We’re backed by top investors including Andreessen Horowitz, Sequoia Capital, and Altimeter. 

dbt Labs is an equal opportunity employer. We're committed to building an inclusive team that welcomes a diversity of perspectives, people, and backgrounds regardless of race, color, national origin, gender, sexual orientation, age, religion, disability, citizenship, veteran status, or any other protected status. We feel strongly that whether or not your experience exactly fits the job description, your passion and skills will stand out and set you apart even if your career has taken some twists and turns.  If you are on the fence about whether you meet our requirements, we encourage you to apply anyway! Please reach out to us directly at recruiting@dbtlabs.com if you need assistance or an accommodation

Want to learn more about our focus on Diversity, Equity and Inclusion at dbt Labs? Check out our DEI page here

dbt Labs reserves the right to amend or withdraw the posting at any time. For employees outside the United States, dbt Labs offers a competitive benefits package. Equity or comparable benefits may be offered depending on the legal or country limitations.

 

dbt Labs
dbt Labs
Analytics Big Data Information Technology Open Source Software

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