Lead Data Product Engineer

Key Responsibilities

Product Development: Lead the end-to-end development, architecture, and maintenance of Sage Insight, our client-facing data platform, utilizing Palantir Foundry to build powerful data applications.

Cross-Functional Collaboration: Partner closely with Product and Design teams to scope requirements, iterate on UI/UX, and deliver intuitive data products that our clients love and rely on daily.

Technical Leadership & Architecture: Act as the technical lead for data product initiatives. Design scalable system architectures while remaining heavily hands-on in the day-to-day building and deployment of the platform.

Continuous Improvement: Implement software engineering best practices within a low/no-code environment, ensuring application performance, rigorous quality assurance, and state-of-the-art methodologies to increase overall business value.

Minimum Qualifications

• Bachelor’s degree in a heavily quantitative field (e.g., Computer Science, Engineering, Mathematics, Statistics, or equivalent).
• 7-10 years of post-grad experience in data product development, analytics, or a related technical field.
• A minimum of 2 years of experience in full-stack application development within a low-code or no-code app development environment.
• A minimum of 2 years of experience leading technical projects, with a demonstrated ability to own project delivery and guide technical execution.
• Exceptional communication and stakeholder management skills, comfortable supporting non-technical teams (like Product and Design) to reach their goals and managing expectations.
• Entrepreneurial and self-starter spirit. You will be expected to actively identify, prioritize, and solve for the needs of different teams and clients, acting as a true owner of the product.

Preferred Qualifications

• Extensive experience building applications and data pipelines within Palantir Foundry is highly preferred and can be a deciding factor, as it is the platform where most of the work is expected to happen.
• Familiarity with traditional software engineering principles and languages (e.g., JavaScript, TypeScript, Python) to extend low/no-code capabilities when necessary.
• Master’s degree in Computer Science or other Quantitative field.
• Experience in the healthcare industry and familiarity with HIPAA and other healthcare compliance standards.

Benefits and Pay

Expected annual salary range: $190,000 to $225,000 USD, depending on your level of expertise, your experience, and your performance in the interview process. Competitive base compensation along with stock options. Fully-paid health and dental insurance coverage for all employees, along with other health benefits including vision insurance, membership to premium primary and urgent care, and online medical health providers. Take as you need time off policy, in addition to 7 paid holidays and a company wide winter break during the holidays.