Software Engineer II, BI

About the job

Responsibilities

• Lead technical design and architecture for complex features within the business intelligence platform.
• Take full ownership of end-to-end feature releases, platform enhancements, and system optimization.
• Drive technical decision-making through thorough analysis, trade-off evaluation, and data-driven architectural choices.
• Architect and implement scalable cloud-based data services, APIs, ETL pipelines, and user interfaces.
• Build mission-critical backend systems for analytics, reporting, and complex data querying at scale.
• Design and develop intuitive UI platforms and interactive dashboards for data visualization and business intelligence.
• Champion engineering excellence by establishing and enforcing best practices, design patterns, and coding standards.
• Optimize system performance, identify bottlenecks, and implement solutions for scalability and reliability.
• Define and maintain comprehensive test strategies to ensure high code quality and test coverage.
• Participate in ensuring healthcare security, compliance, and data governance.
• Mentor and coach junior and mid-level engineers, fostering their technical growth.
• Collaborate cross-functionally with product, data science, analytics, and business stakeholders.

Requirements

• Extensive experience building and deploying production-grade backend systems, RESTful APIs, and modern web applications at scale.
• Passion for technical excellence and architectural best practices, with a track record of building high-quality, maintainable systems.
• Ability to lead technical initiatives from conception through delivery, making sound architectural decisions.
• Skill in breaking down complex problems into manageable solutions and articulating technical concepts to diverse stakeholders.
• Strong ownership mentality and pride in the quality and impact of work.
• Mentorship experience through code reviews, pairing sessions, and knowledge sharing.
• Experience with system design, performance optimization, and building for scale.
• Understanding of data modeling, query optimization, and best practices for large datasets.
• Collaborative leadership skills in a fast-paced startup environment, balancing velocity with quality.
• Minimum of 4 years of experience in the software development lifecycle.
• Strong expertise in backend development using Python with frameworks like FastAPI, Flask, or Django.
• Deep understanding of object-oriented programming, design patterns, and software architecture principles.
• Proven experience building UI platforms using React and TypeScript/JavaScript, with strong understanding of modern frontend patterns and state management.
• Extensive hands-on experience with cloud platforms (AWS) including services like Athena, S3, DynamoDB, Lambda, API Gateway, CloudWatch, or equivalent.
• Demonstrated experience building data pipelines, ETL processes, or analytics platforms.
• Strong proficiency with test frameworks such as pytest, Jest, Cypress, JUnit, or similar.
• Experience with NoSQL technologies (DynamoDB, MongoDB, etc.) and understanding of their use cases.
• Advanced knowledge of SQL and query optimization for large datasets and complex analytical queries.
• Prior experience with Tableau APIs and BI tool integrations.
• Experience with CI/CD pipelines, infrastructure as code, and DevOps practices.
• Bachelor's degree in computer science, software engineering, or equivalent experience.
• Experience building applications using React and TypeScript (Nice-to-have).
• Hands-on experience leveraging test frameworks such as Cypress, Jest, Mocha, JUnit, or Cucumber (Nice-to-have).
• Experience with microservices architecture and distributed systems (Nice-to-have).
• Prior experience in healthcare and life sciences (Nice-to-have).
• Track record of technical leadership, mentoring, and driving engineering culture improvements (Nice-to-have).