Software Engineer Data Platform
Skills
About the Role
You will build and integrate components of the Analytics Platform and Machine Learning Platform. You will create tools that improve the data experience for applied scientists, AI engineers, and risk engineers, collaborate on production machine learning applications, and develop reliable, scalable, maintainable, and cost-efficient systems across the stack.
Requirements
- Experience with workflow orchestrators such as 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.
Responsibilities
- Build and integrate components of the Analytics Platform and Machine Learning Platform.
- Build tools that improve the agility and data experience of applied scientists, AI engineers, and risk engineers.
- Collaborate with stakeholder teams to build and productionize machine learning applications.
- Build reliable, scalable, maintainable, and cost-efficient systems across the stack.
Benefits
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
- 100% medical, dental, and vision insurance coverage for employees, with partial coverage for dependents
- One Medical annual membership
- 401(k) with employer match
- Fertility HRA up to $10,000 per year
- Parental leave
- Pet insurance
- In-office lunch, snacks, and drinks
- Relocation support to New York City or San Francisco as needed