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SeniorFull-timePythonRustAgileGitAIData
Salary Range
$46,410 - $62,790 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We're looking for a Senior Analytics Engineer to join our data team at PandaDoc. This role focuses on building foundational data models and infrastructure that power insights across the organization. You'll work closely with data analysts, business stakeholders, and engineering teams to transform raw data into trusted datasets that drive strategic decisions.
Key Responsibilities
- →Design, build, and maintain dimensional data models in Snowflake
- →Develop and optimize dbt models for data transformation
- →Create and maintain data documentation in Select Star
- →Partner with data analysts and business teams to create scalable data solutions
- →Implement data quality checks and monitoring
- →Optimize SQL queries and data pipelines
- →Support strategic analytics initiatives
- →Mentor junior team members
Requirements
- ✓5+ years of experience in analytics engineering or data engineering
- ✓Expert-level SQL skills with complex query writing
- ✓Strong experience with dbt for transformation pipelines
- ✓Hands-on experience with Snowflake or other cloud data warehouses
- ✓Familiarity with data cataloging tools
- ✓Knowledge of data orchestration tools
- ✓Strong background in Python for data analysis
- ✓Deep understanding of dimensional modeling
- ✓Experience with SaaS metrics
- ✓Proficiency with GitHub for version control
- ✓Strong communication skills
- ✓Self-directed and comfortable with remote work
Benefits
- ★Remote-first approach with hybrid work option
- ★Professional and personal development
- ★Stable yet growing SaaS product
- ★Agile environment with ownership opportunities
