Senior Software Engineer, Adapters

Posted 16 Days Ago
Be an Early Applicant
Hiring Remotely in România
Remote
7+ Years Experience
Information Technology • Software • Database • Analytics
The Role
Lead the development of data warehouse adapters and provide technical leadership for an existing team within dbt Labs. Collaborate with product teams, OSS community, and mentor junior team members. Requires 5-8 years of experience in software engineering and familiarity with data warehouses and data engineering principles.
Summary Generated by Built In

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.

 

About the role

dbt Core, one of the most popular Open Source Software (OSS) data transformation tools, has continued to grow and has ambitious goals for the year ahead. We are hiring developers in Romania to work on the data warehouse adapters, a key strategic asset of the dbt framework.

This is an existing team within dbt Labs that we are looking to expand. This team needs senior technical leadership and OSS stewardship. As data warehouses and dbt evolve and grow, this person will integrate new capabilities into the dbt adapters and ensure we are able to leverage their evolving functionality. Our data warehouse adapters have a significant OSS footprint so you will be able to work closely with the community and work in the open.

  • Lead the development of the interface used by all dbt adapters within the data warehouse adapters codebase and own platform specific changes for a number of individual adapter repositories.
  • Design, develop, test, deploy, and monitor both open-source and proprietary software, ensuring it is reliable, well-tested, and adheres to best coding practices.
  • Create extension and integration points to facilitate custom adapter creation.
  • Develop a robust software framework for seamlessly integrating adapters into dbt Cloud.
  • Collaborate closely with the OSS community, product teams, and other adapter stakeholders.
  • Mentor and support junior team members, fostering a collaborative and innovative environment.

  • Have 5-8 years experience as a software engineer
  • Minimum requirement of Bachelors degree in related field (computer science, computer engineering, etc.)
  • Completed enrollment in engineering related bootcamp

  • Have worked with data warehouses before and understand both their fundamentals (especially Snowflake, Redshift, BigQuery, etc) as well as data engineering principles
  • Are comfortable with leading initiatives and small working groups on projects
  • Value interacting with the OSS community and deeply understanding their needs
  • Support the career development of team members by actively providing mentorship and coaching

  • Have worked on growing teams developing in a large OSS Python code base
  • Have direct experience with using dbt
  • Have experience working on a distributed team
  • Have been a data engineer in the past

  • : Competitive Salary based on Experience

*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):
  • Interview with a Talent Acquisition Partner 
  • Technical Interview with Hiring Manager
  • Team Interviews 
  • Final interview with leadership team member

#LI-RC1

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. 

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


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Top Skills

Python
The Company
HQ: Philadelphia, PA
450 Employees
Remote Workplace
Year Founded: 2016

What We Do

At dbt Labs, we make data work.  Our open-source software, dbt, enables anyone who knows SQL to engineer, document, and test data pipelines.  By empowering analysts to work like and with data engineers, dbt drastically increases an organization's ability to model and serve analytics. We’ve built a community of 100,000+ people and are backed by top investors including Andreessen Horowitz and Sequoia Capital. dbt is already used and loved by thousands of companies and dbt Cloud enables this workflow at scale. 

dbt Labs headquarters are in Philadelphia, Pennsylvania, but we are a distributed team and advocate for a remote-first culture. We want our people to work from the places where they are happiest, healthiest, and most inspired to do great things.

Why Work With Us

At dbt Labs, we bring our whole selves to work. We bring our interests and experiences, our cultural influences, our physical and emotional needs, our communication styles and lifestyles, our values, and our curiosity. We have built a lot of trust in each other, and we work hard to be worthy of it.

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