Backend Software Engineer II- Data Platform

<h3>Accountabilities:</h3><li>Build and maintain backend services that ingest, validate, reconcile, transform, and serve data received from external partners.</li><li>Develop reliable systems supporting member identity, eligibility, billing, integrations, and other critical business domains.</li><li>Design and implement APIs, asynchronous workflows, and data pipelines used across the organization.</li><li>Build systems capable of handling incomplete, duplicated, delayed, inconsistent, and otherwise imperfect real-world data.</li><li>Implement reliable mechanisms for retrying, replaying, recovering, and reconciling data when processing failures occur.</li><li>Improve the reliability, observability, test coverage, performance, and maintainability of production systems.</li><li>Collaborate with Engineering, Product, and Operations teams to clarify ambiguous requirements and determine effective technical solutions.</li><li>Take features from initial design through implementation, deployment, and production operation.</li><li>Investigate unfamiliar areas of the codebase, understand existing architecture, and make thoughtful improvements without introducing unnecessary complexity.</li><li>Contribute to technical decisions and gradually take greater ownership of backend services and system design.</li><li>Apply strong engineering practices around correctness, validation, idempotency, error handling, retries, and edge cases.</li><li>Support additional engineering initiatives and responsibilities as business and team priorities evolve.</li><h2>Requirements:</h2><li>Bachelor's degree or equivalent educational background is required.</li><li>2+ years of professional experience building and maintaining backend software.</li><li>Strong programming fundamentals, with professional experience in Python preferred.</li><li>Experience working with relational databases and SQL.</li><li>Experience developing systems that process, transform, or move significant volumes of data.</li><li>Solid understanding of software testing, debugging, API design, and common distributed-system failure modes.</li><li>Experience deploying or operating applications in a cloud environment.</li><li>Strong instincts around system correctness, including data validation, idempotency, retries, recovery, and edge-case handling.</li><li>Ability to quickly understand an unfamiliar codebase and improve it while maintaining simplicity and reliability.</li><li>Strong written communication skills and the ability to clearly explain technical decisions, tradeoffs, and approaches.</li><li>Experience with data-intensive backend systems, ETL/ELT pipelines, or event-driven architectures is preferred.</li><li>Familiarity with PostgreSQL, analytical data warehouses, or data modeling is an advantage.</li><li>Experience with infrastructure as code, containers, or workflow orchestration is a plus.</li><li>Exposure to identity resolution, entity matching, eligibility, claims, healthcare data, or other complex data domains is beneficial.</li><li>Experience working in regulated or security-sensitive production environments is desirable.</li><li>Previous healthcare experience is not required, and candidates do not need experience with every technology used by the organization.</li><li>Candidates must be authorized to work in the United States; work visa sponsorship is not available.</li><li>Employees must reside in and work from the United States, subject to applicable employment eligibility requirements.</li><h2>Benefits:</h2><li>Annual salary range of<strong>$120,000–$130,000</strong>.</li><li>Fully remote position within the United States.</li><li>Opportunity to work on backend and data infrastructure supporting meaningful healthcare outcomes.</li><li>Exposure to complex data engineering challenges involving identity, eligibility, billing, partner integrations, and analytics.</li><li>Opportunity to grow from well-defined engineering assignments toward greater ownership of services and technical decisions.</li><li>Collaborative work across Engineering, Product, and Operations teams.</li><li>Opportunity to contribute to reliable, scalable, and security-conscious production systems.</li><li>Inclusive and diverse working environment committed to equal employment opportunities and professional development.</li><li>Reasonable accommodations available for qualified individuals with disabilities and disabled veterans.</li>