Software Engineer, Growth Data Platform
Omni · Remote · San Francisco, CA · United States ·
COMPENSATION
$170k – $250k
Listed on the employer's job board (Ashby)
- Hybrid (SF) or Remote (US)
- Python + SQL
- Snowflake + dbt
- Data Platform Engineering
- Mid-level
You will engineer the data platform that transforms go-to-market signals into auditable workflows. Your work includes designing queues and workers for data enrichment and routing, while integrating various external data sources like CRMs and ad platforms.
Collaborating with GTM teams, you will convert experimental processes into reusable platform components. You will also troubleshoot production issues across the data stack, ensuring downstream systems receive trusted and explainable data outputs.
What you'll do
- Build and scale data platforms for reliable GTM signal processing
- Design queues and workers for data enrichment and routing
- Integrate external APIs from CRM, sales, and ad vendors
- Convert one-off experiments into reusable platform primitives
- Debug production issues across AWS, Snowflake, and vendor APIs
What you'll need
- 2+ years building data platforms or backend systems
- Experience with analytical systems like Snowflake or BigQuery
- Track record of owning end-to-end business-critical systems
- Strong understanding of data modeling and schema evolution
- Ability to ensure data trustworthiness and explainability
Stack
- Snowflake
- dbt
- Dagster
- AWS Batch
- AWS Lambda
- Fivetran
- Python
- SQL
- Terraform
- GitHub Actions
- Soda
How you'll work
- Hybrid schedule at San Francisco headquarters
- Fully remote option for candidates based elsewhere in the US
What you get
- Health, dental, and vision insurance
- 401(k) Plan for US-based employees
- Unlimited PTO