Remote Data Engineer

Description:

• dbt Labs is a leading analytics engineering platform that helps data teams transform raw data into actionable insights.
• The company has grown significantly since 2016 and serves over 5,400 dbt Cloud customers, including notable companies like JetBlue and HubSpot.
• As a Data Engineer, you will design, build, and own core components of the data ecosystem, which is essential for analytics and operational efficiency.
• You will work within a strategic team that emphasizes technical execution and cross-functional influence.
• The role involves building and maintaining foundational data infrastructure that supports critical business decisions.
• Responsibilities include designing reliable data pipelines, ensuring data quality, optimizing query performance, and collaborating with various stakeholders.
• You will also automate data workflows and provide product feedback by using new data infrastructure and AI technology.

Requirements:

• You must be an expert in SQL and Python.
• A minimum of 2 years of experience as a data engineer and 4 years of total experience in software engineering is required.
• Proficiency in at least one additional core Data Engineering language such as Scala, Java, or Rust is necessary.
• Hands-on experience with modern orchestration tools like Airflow, Dagster, or Prefect is required.
• A bias for action and the ability to prioritize effectively is essential.

Benefits:

• The position offers unlimited vacation time with a culture that encourages taking time off.
• A 401k plan with a 3% guaranteed company contribution is provided.
• Comprehensive healthcare coverage is included.
• Generous paid parental leave is offered.
• Flexible stipends are available for health & wellness, home office setup, cell phone & internet, learning & development, and office space.