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Senior Software Engineer, Crossplatform

unlimited holidays - extra parental leave - fully flexible
Remote: 
Full Remote
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

5+ years of backend software engineering experience., Strong expertise in Python and/or Golang., Hands-on experience with Kubernetes (K8s)., Familiarity with dbt or data ecosystems is a plus..

Key responsabilities:

  • Design and implement a new platform for running dbt in dbt Cloud.
  • Build and refine core infrastructure elements in Golang and Python.
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dbt Labs Scaleup https://www.getdbt.com/dbt-labs/about-us/
201 - 500 Employees
See more dbt Labs offers

Job 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.
 

Are you ready to help build the next generation of dbt? Join our team in an incubation effort that aims to redefine how we run dbt in dbt Cloud. Working closely with our Romania-based Adapters and Core team, you’ll create cutting-edge proof of concepts, building solutions that will eventually transition to become part of the core of our architecture.

In this role, you can expect to:

  • Collaborate closely with the Adapters and Core teams to design and implement a new platform for running dbt in dbt Cloud.
  • Work in a backend-focused capacity, building and refining core infrastructure elements in Golang and Python with Kubernetes (K8s) as part of our next-gen architecture.
  • Contribute to a team that emphasises security and responsible data handling practices, as your work will interface directly with customer data warehouses.
  • Operate in an incubation environment with support from project and local managers, helping new initiatives take shape before transitioning to a more stable environment within the company.

You are a good fit if you have:

  • Proven experience as a backend software engineer with strong Python and/or Golang expertise.
  • Hands-on experience with Kubernetes (K8s) and backend infrastructure.
  • Familiarity with dbt or an understanding of how it functions in the data ecosystem (a plus).
  • Experience working on early-stage projects or within a startup environment where adaptability and innovation are key.
  • A background in secure data handling, particularly as it pertains to integrating with customer data warehouses.

You'll have an edge if you have:

  • Worked within an orchestration team or on similar backend projects with an infrastructure focus, running highly concurrent workloads in a multi-tenant environment.
  • Experience with projects that require both software engineering and infrastructure skills, including a familiarity with new architecture builds.

Qualifications:

  • 5+ years of backend software engineering experience, particularly with Python and/or Golang.
  • Hands-on experience with Kubernetes (K8s) in production environments.

Compensation & Benefits

  • This is an FTE role only (CIM), no contracts
  • Salary: Competitive, based on experience
  • Equity Stake
  • Benefits: medical insurance, life insurance, vision& dental coverage, office refresh stipend e.g.

*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 Engineering Leadership

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.

 

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
French
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Adaptability
  • Innovation

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