Software Engineer

Summary

Join dbt Labs as a Software Engineer and contribute to the development of dbt Core and its adapters. You will design, develop, test, and deploy both open-source and proprietary software, ensuring reliability and adherence to best practices. Collaborate with the open-source community, product teams, and stakeholders. Mentor junior team members and foster a collaborative environment. This role requires 2-5 years of software engineering experience, preferably in Python, a bachelor's degree in a related field, and excellent English communication skills. Competitive salary, equity stake, and benefits including medical, life, vision, and dental insurance are offered.

Requirements

• Have 2-5 years experience as a software engineer, preferably in Python
• Minimum requirement of Bachelors degree in related field (computer science, computer engineering, etc.)
• Have an excellent level of English, both written and spoken

Responsibilities

• Be a key contributor to the development of dbt Core and its adapters
• 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

Preferred Qualifications

• Have strong fundamentals in a variety of software development paradigms (e.g. object oriented, functional)
• Have worked on distributed systems at scale
• Understand how to make tradeoffs to ship useful features today without sacrificing long-term quality
• Value interacting with end users and deeply understanding their needs
• Have worked on growing teams developing in a large OSS Python code base
• Have worked with data warehouses before and understand both their fundamentals (especially Snowflake, Redshift, BigQuery, etc) as well as data engineering principles
• Have direct experience with using dbt
• Have experience working on a distributed team
• Have been a data engineer in the past

Benefits

• 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