Oscar Health
Analytics Engineer I
New York, New York, United States$106.8k–$140.2kfull-timeentryAdded yesterday
About this role
Oscar Health seeks an Analytics Engineer I to design and build dimensional data models using dbt, converting raw operational data into reliable analytical assets. You'll partner with stakeholders to implement data transformations, automated tests, and semantic layers supporting enterprise business intelligence in a healthcare environment.
What you'll do
- Design, build, and maintain dimensional models and data transformations in dbt
- Partner with subject matter experts and business stakeholders to define requirements and implement solutions
- Implement automated data quality tests and monitoring to ensure data product health
- Execute small-to-medium analytics engineering projects with minimal oversight
- Perform root cause analyses on data defects and participate in platform support channels
- Contribute to documentation and best practices for analytics development
What they're looking for
- SQL
- dbt (data transformation)
- Dimensional modeling (star schemas, slowly changing dimensions)
- Semantic modeling languages (e.g., LookML)
- Cloud databases (GCP, AWS, or Azure)
- Data quality testing and monitoring
- Healthcare or insurance domain knowledge
- Stakeholder communication
Benefits
- Medical, dental, and vision insurance coverage
- Unlimited vacation program
- Company equity grants
- Annual performance bonuses
- 401(k) plan participation with life and disability insurance
- Paid parental leave, 11 paid holidays, and wellness reimbursements
Opens the official application on the employer’s site. No login required.
Oscar Health
Oscar Health builds AI-powered products and data infrastructure to improve healthcare delivery and patient experiences. The company is hiring Applied AI Engineers and Analytics Engineers to develop transformative AI solutions and maintain robust data systems that enhance operational efficiency.
- Website
- oscarhealth.com
Likely interview questions
- Describe your experience building dimensional models—what star schemas or slowly changing dimensions have you implemented?
- Walk us through a dbt project you've worked on: how did you structure your models and what tests did you implement?