Senior Backend Engineer

Summary

Join Twin Health's innovative team as a Senior Backend Engineer, contributing to the development of next-generation data infrastructure and AI platforms. You will design, develop, and maintain scalable data pipelines, implement microservices, and collaborate with cross-functional teams. This role requires strong backend engineering experience, proficiency in Python/Java, and expertise in data modeling and distributed systems. The position offers a competitive salary, comprehensive benefits including health insurance, parental leave, and 401k, and the opportunity to work remotely.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or equivalent experience, with 3+ years of backend engineering experience, particularly in data-intensive applications
• Strong experience with SQL and data modeling for analytical workloads
• Proficiency in Python and/or Java for data processing and software development
• Experience with event-driven architectures(Kafka, SQS, Snowflake Stream, AWS Lambda), and microservices
• Proven experience in designing and building scalable data pipelines, and distributed systems
• Experience collaborating with AI and analytics teams to integrate data-driven solutions into products
• Ability to contribute to architecture decisions and technical discussions within engineering teams
• Strong problem-solving skills, with the ability to troubleshoot data pipeline failures, performance bottlenecks, and support AI development
• Strong communication and collaboration skills, with experience working cross-functionally across data, platform, infra, and product teams

Responsibilities

• Design, develop, and maintain scalable, reliable data pipelines to ingest, transform, and store structured/unstructured data, and export transformed data back to transactional stores
• Implement microservices and scheduled jobs for complex data transformations, deploy them to production, and manage infrastructure setup and monitoring
• Contribute to our platform framework by building custom libraries and tools to enhance engineering efficiency and AI software development
• Drive architecture decisions, collaborate with team leads, and execute projects to deliver impactful outcomes
• Work with Data Platform, AI Platform, Infra, Analytics, and Product teams to define and execute data-driven strategies
• Monitor and optimize the performance, cost-efficiency, and scalability of data and platform infrastructure
• Write clean, maintainable, and scalable code while adhering to software development best practices
• Additional duties as assigned

Preferred Qualifications

• Hands-on expertise with Snowflake or similar data warehouse technologies (BigQuery, Redshift, Databricks)
• Experience with cloud infrastructure (AWS, Azure), Kubernetes, Airflow, and version control systems (Git)
• Familiarity with AI/ML workflows and data pipelines
• Experience working in fast-paced, high-growth startup environments
• Experience and passion for Generative AI and Prompt Engineering

Benefits

• The compensation range for this position is $160,000-$180,000 annually
• A competitive compensation package in line with leading technology companies
• Opportunity for equity participation
• Unlimited vacation with manager approval
• 16 weeks of 100% paid parental leave for delivering parents; 8 weeks of 100% paid parental leave for non-delivering parents
• 100% Employer sponsored healthcare, dental, and vision for you, and 80% coverage for your family; Health Savings Account and Flexible Spending Account options
• 401k retirement savings plan