Senior Data Engineer, dbt Labs

• Worked asynchronously as part of a fully-remote, distributed team
• Have 5+ years of experience as a data engineer and 8+ years of any software engineering experience (including data engineering)
• Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java
• Strong data infrastructure and data architecture skills
• Expertise with any of ETL schedulers such as Airflow, Dagster, Prefect or similar frameworks
• Solid understanding of Spark and ability to write, debug and optimize Spark code
• A bias for action and urgency, not letting perfect be the enemy of the effective
• A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even it it requires going outside the original job description

Desirable

• As a Senior Data Engineer at dbt Labs, you will take the lead in building and owning data infrastructure (e.g. infrastructure, pipelines, data products)
• This data ecosystem is crucial for powering analyses, guiding business decisions, accelerating growth, and driving efficiency across business operations
• This team combines strategic, operational, and problem-solving skills with a pragmatic sense of how to get things done and drive change across the organization
• Design, build and manage our data pipelines, ensuring all user and product event data is seamlessly integrated into our data warehouse
• Develop canonical datasets to track key product metrics including user growth, engagement, and revenue
• Work collaboratively with various teams, including Infrastructure, Product, Marketing, Finance, and GTM to understand their data needs and provide solutions
• Implement robust and fault-tolerant systems for data ingestion and processing
• Participate in data architecture and engineering decisions, bringing your strong experience and knowledge to the table
• Ensure the security, integrity, and compliance of data according to industry and company standards

• All video interviews unless accommodations are needed
• Interview with Talent Acquisition Partner
• Interview with Hiring Manager
• Team Interviews