2 months ago
Base Salary
$142k - $205k/yr
Responsibilities
- Design and build prototypes, reference implementations, and example repositories demonstrating practical use of company tools.
- Create prototypes that validate product direction and accelerate engineering iteration.
- Build tooling that reduces friction in analytics engineering workflows.
- Write technical content for the dbt Developer Blog, guides, and documentation.
- Publish data and analytics engineering knowledge and best practices.
- Develop enablement resources for internal teams and the dbt Community and support product launches as a subject matter expert.
- Represent the product area across Community Slack, GitHub, conferences, and public forums.
- Collect and synthesize community feedback for product and engineering teams and bring practitioner perspectives into product design reviews.
- Identify developer-experience sharp edges, regressions, and gaps.
- Maintain and triage open-source repositories and community projects and contribute code and design reviews.
Requirements
- At least 5 years of experience in data engineering, analytics engineering, or a closely related field.
- Hands-on dbt knowledge and practitioner-level fluency.
- Expert spoken and written technical communication with published data or analytics engineering content.
- Strong data and analytics engineering fundamentals, including Python and SQL proficiency and the ability to contribute to open-source codebases.
- Comfort with AI and enthusiasm for adapting AI into work practices.
- Ability to work autonomously, set priorities, communicate clearly, and deliver with minimal direction.
- Strong product sense and ability to translate user needs into concrete product feedback.
- Existing dbt Community presence or prior hands-on use of dbt tools is a bonus.
- Developer relations, developer experience, or developer advocacy experience at a developer tools company is a bonus.
- Experience building with or for AI coding agents is a bonus.
- Open-source contributions in the data ecosystem are a bonus.
- Public speaking at data or developer conferences and experience with Fusion and the dbt platform are bonuses.
Benefits
- Full-time, fully remote position based in the United States.
- Employer-paid medical insurance, subject to country and worker type.
- Paid time off, paid sick time, inclusive parental leave, holidays, a year-end Global Week of Rest, and volunteer days off.
- RSU stock grants.
- Professional development and training opportunities.
- Virtual happy hours, free food, and team-building activities.
- Monthly cell phone stipend.
- Mental health support platform with therapy, coaching, and self-guided mindfulness resources for covered employees and dependents.
About Fivetran
Fivetran builds a managed data integration platform that extracts data from hundreds of SaaS apps and databases and loads it into cloud data warehouses for analytics and AI teams. Sold as a subscription SaaS service, it provides prebuilt connectors, automated schema management, and ELT/replication to destinations like Snowflake, BigQuery, Databricks, and Redshift. Founded in 2012 and headquartered in Oakland, it serves customers such as Autodesk, Condé Nast, JetBlue, and Morgan Stanley.