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dbt Labs

Staff Software Engineer

Remote Ireland
Python Java JavaScript Go
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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.
 

We’re looking for an experienced Staff Software Engineer to help in the formation of our new Marketplace Apps team. The successful candidate will play a crucial role in ensuring the success of our newly launched dbt for Snowflake native application and in advancing our strategy of integrating dbt Cloud more closely with our cloud data warehouse partners.

In this role, you will build products & integrations from the ground up, working iteratively with both internal dbt Labs teams and external stakeholders. As a 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.

Today we serve some of the largest data-driven organizations in the world, enabling them to make decisions based on the knowledge at the core of their business. Your work directly impacts dbt Lab’s mission by providing new solutions to the many challenges faced by the organizations we serve and the data practitioners we reach.

In this role, you can expect to:

  • Develop solutions that expose more of the dbt Cloud experience within our native application as well as adding and enhancing functionality unique to the app, including our AI chatbot Ask dbt
  • Define and manage team technical standards, release tooling, observability to ensure that we maintain a high quality bar
  • Collaborate with your product counterpart to refine our native application and integration strategy, setting a clear execution path for the team
  • Explore, evaluate, and integrate offerings from our cloud data warehouse partners to ensure that our customers get the best of both platforms

You are a good fit if you have:

  • Worked asynchronously as part of a fully-remote, distributed team
  • Have the sense of ownership and drive needed to tackle ambiguous and open-ended problems
  • Have 10+ years of professional software engineering experience building containerized web applications in programming languages such as Python, Java, Javascript, or Go
  • Served as a technical lead and defined the roadmap for complex projects spanning multiple teams and functions

You'll have an edge if you have:

  • Experience with Cloud Data Warehouse platforms (Snowflake, Databricks, BigQuery…)
  • Experience OEMing or white-labeling SaaS applications

Compensation & Benefits

  • Salary: 129,000 - 165,000 Euro
  • Equity Stake
  • Benefits: In the US, dbt Labs offers unlimited vacation (and yes we use it!), 401k w/3% guaranteed contribution, excellent healthcare, paid parental leave, wellness stipend and a home office stipend. For employees outside the United States, dbt Labs offers a competitive benefits package
  • Benefits - dbt Labs offers:
    • Unlimited vacation (and yes we use it!)
    • 401k w/3% guaranteed contribution
    • Excellent healthcare
    • 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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