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Mid LevelFull-timePythonAWSData Science
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
Cedar is seeking a Data Engineer to help evolve their data ecosystem from homegrown ETL scripts to a modern, scalable stack built on tools like dbt, Airflow, and Snowflake. This role involves designing and implementing critical data pipelines, improving data quality and observability, and implementing patterns and standards for data product development.
Key Responsibilities
- →Design, build, and maintain scalable ELT/ETL pipelines for client billing, financial reporting, product analytics, and data services
- →Modernize legacy data flows by migrating SQL- and Liquibase-based transformations into dbt
- →Improve reliability and observability of the data platform through testing, monitoring, and alerting
- →Model data for usability and performance in Snowflake and other systems
- →Collaborate with product, finance, analytics, and integrations teams to ensure data accuracy and delivery
- →Contribute to Cedar’s data platform vision by implementing standards for governance, metadata, and access
- →Participate in code reviews and design discussions to raise the bar on code quality and operational excellence
Requirements
- ✓3+ years of hands-on data engineering experience
- ✓Strong SQL and Python proficiency
- ✓Experience with modern data stack tools (Snowflake, dbt, Airflow)
- ✓Experience with data modeling and schema design
- ✓Familiarity with cloud platforms, ideally AWS
- ✓Strong collaboration and communication skills
- ✓Bias to learn and take ownership in a complex environment
Benefits
- ★Competitive salary and equity
- ★Unlimited PTO
- ★16 weeks paid parental leave
- ★401k matching
- ★Health benefits including fertility & adoption assistance
- ★Mentorship and learning resources
