Key skills
AirflowAmazon RedshiftAWSAzureBigQueryGoogle Cloud PlatformPythonSQLAIMachine LearningAnalyticsSnowflakeRedshiftGCPGoogle Cloud
About this role
Role Overview
- Build and integrate the components of Ramp's Analytics Platform and Machine Learning Platform.
- Build tools that improve the agility and data experience of Ramp's Applied Scientists, AI Engineers, and Risk Engineers.
- Collaborate with stakeholder teams on building and productionizing machine learning applications.
- Build reliable, scalable, maintainable, and cost-efficient systems across the stack.
Requirements
- Experience with workflow orchestrators like Airflow, Dagster, or Prefect.
- Experience building infrastructure on AWS, GCP, or Azure.
- Knowledge of SQL and experience with Snowflake, Redshift, BigQuery, or similar databases.
- Intuition around analytics and machine learning, and empathy for data science workflows.
- Strong Python programming skills.
Tech Stack
- Airflow
- Amazon Redshift
- AWS
- Azure
- BigQuery
- Google Cloud Platform
- Python
- SQL
Benefits
- 100% medical, dental & vision insurance coverage for you
- Partially covered for your dependents
- One Medical annual membership
- 401k (including employer match on contributions made while employed by Ramp)
- Flexible PTO
- Fertility HRA (up to $10,000 per year)
- Parental Leave
- Unlimited AI token usage
- Pet insurance
- Centralized home-office equipment ordering for all employees
- Health and Wellness stipend
- In-office perks: lunch, snacks, drinks, and more
- Budget for intra-office travel
- Relocation support to NYC or SF (as needed)