Operations Engineer I

About the Role

The Operations Engineer I role builds, tests, and implements data and technical solutions with a focus on creating efficiency and scale through technology and automation of Oscar’s infrastructure and underlying logic for core insurance functions. You will report to the Manager, Operations Engineering.

Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule.

Responsibilities

• Own the development to production lifecycle of well-defined tasks to enable operational efficiencies, improve quality, and/or contribute to Oscar’s regulatory or strategic needs
• Consult and cross-collaborate on technical design and scoping to build and document complex, scalable, and repeatable processes and capabilities
• Develop technical solutions in response to requirements from business stakeholders regarding new product and market expansions, automated workflows, new/improved tooling, and data quality/integrity needs
• Catch, respond to, and resolve issues/errors/escalations through investigation to produce insights for short/medium/long-term technology-enabled solutions
• Partner closely with other departments to structure and operationalize the next generation of health insurance operations
• Support urgent operational needs through on-call rotation; identify and drive resolution of production issues
• Ensure compliance with all applicable laws and regulations
• Other duties as assigned

Requirements

• A technical bachelor’s degree or 4 years commensurate experience
• 3+ years experience in a technical role (QA analyst, PM, operations analyst, financial engineering, industrial engineering)
• 1+ years of SQL experience
• 1+ years of experience in Python or similar programming languages (Java, C#, etc.)

Bonus Points

• An academic and/or professional background in coding, math, statistics, or data science
• Experience working in dynamic environments, including but not limited to start-up experience