Staff Data Engineer
Moxie · Remote · Remote - US ·
COMPENSATION
$162k – $209k
Listed on the employer's job board (Ashby)
- Staff level role
- Fully remote
- Snowflake + dbt
- Python + SQL
- High visibility IC
As the second internal data hire, you will define Moxie's data patterns and engineering philosophy. You will partner with Engineering and Finance to model complex accounting logic, maintain production pipelines, and ensure business-critical data reliability for internal teams and client practices.
What you'll do
- Own data infrastructure end to end, including pipelines, warehouse, and modeling
- Partner with Engineering on production schema changes from Postgres to Snowflake
- Model financial reporting logic such as cash versus accrual accounting in dbt
- Establish SOPs for security reviews, schema changes, and failure triage workflows
- Optimize stack performance and cost while moving intelligence from descriptive to predictive
- Implement safeguards for LLM-generated content within data products
What you'll need
- 5-10 years of data engineering experience with early hire background
- Deep expertise in dbt and SQL modeling for complex business logic
- Strong Python skills for owning orchestration via Prefect or similar tools
- Experience handling schema evolution from operational databases to warehouses
- Track record of leading end-to-end delivery with non-technical partners
- Fluency with AI tooling like Claude Code or Cursor in daily workflows
- Ownership mindset regarding uptime, reliability, and cost optimization
Stack
- Snowflake
- dbt
- Omni
- Prefect
- Airbyte
- Postgres
- Python
- SQL
- GitHub
How you'll work
- Fully remote team
- Global hiring
- Small ambitious data team
What you get
- Set data standards and conventions as early hire
- Highly visible individual contributor role
- Input on data roadmap and career trajectory
- Modern tech stack with AI tooling integration