Backend Software Engineer 3
Neuehealth
·Today
- Location
- Remote
- Workplace
- Remote
- Department
- Software Engineering
- Experience
- 4+ years
- Source
- Greenhouse
Description
WHO WE ARE
NeueHealth is a value-driven healthcare company grounded in the belief that all health consumers are entitled to high-quality, coordinated care. By uniquely aligning the interests of health consumers, providers, and payors, we help to make healthcare accessible and affordable to all populations across the ACA Marketplace, Medicare, and Medicaid.
NeueHealth delivers clinical care to health consumers through our owned clinics – Centrum Health and Premier Medical – as well as unique partnerships with affiliated providers across the country. We also enable providers to succeed in performance-based arrangements through a suite of technology and services scaled centrally and deployed locally. Through our value-driven, consumer-centric approach, we are committed to transforming healthcare and creating a better care experience for all.
JOB SUMMARY
Backend Engineers design, build, and maintain reliable software integrations that connect products, platforms, and systems across a variety of interfaces and technologies. In this role, they develop secure, scalable, maintainable backend solutions and help establish engineering standards, patterns, and best practices.
This position focuses on integrating full-stack web applications with third-party software and platforms, including EMR/EHR systems, CRM technologies, telephony products, and AI applications. Engineers in this role will build and leverage real-time interfaces and create data pipelines to move data between applications, databases, and data lakes.
DUTIES AND RESPONSIBILITIES
- Design, build, and maintain APIs, data services, and microservices that securely exchange data with internal systems and external partners.
- Develop effective data models, data flows, and pipelines to support reliable storage, transformation, and transfer of data across systems.
- Integrate third-party systems and tools through real-time custom or standardized interfaces.
- Implement secure integrations with third-party platforms, SaaS products, and cloud-based services.
- Collaborate with cross-functional technical and business teams to understand requirements and translate them into practical, maintainable engineering solutions.
- Drive feature development from requirements refinement, design, implementation, and maintenance. Providing sound architecture and alignment with established standards.
- Contribute to a DevOps culture through automated testing, source control, deployment automation, monitoring, and continuous improvement of development and delivery processes.
- Participate in code reviews, technical design discussions, and architecture decisions.
- Continuously document code, technical designs, framework standards, data processes, and team practices.
- Troubleshoot complex data, application, integration, and performance issues and develop sustainable solutions
EDUCATION AND PROFESSIONAL EXPERIENCE
- Bachelor’s degree in computer science, engineering, or a related technical field.
- 4-8 years of experience in enterprise or commercial software development and solution integrations.
- Experience integrating with EMR/EHR systems like Athena, ECW, and/or Epic
- Demonstrated experience developing data-intensive products using database technologies such as SQL Server, PostgreSQL, and Cosmos.
- Expertise in developing and integrating REST APIs, GraphQL interfaces, webhooks, web sockets, and pub/sub technologies.
- Strong SQL skills and the ability to design and code complex query logic and data transformation workflows.
- Professional development experience with at least one procedural or object-oriented programming language, preferably including multiple languages such as Scala, TypeScript, C#, Java, or Python.
- Experience with cloud platforms and data services, preferably within Azure and/or AWS environments.
- Experience with source control and software development practices, preferably including Git and automated build/deployment processes.
- Experience working with healthcare data.
Additional experience that is beneficial includes:
- Enterprise Data Warehouse, Data Lake, Big Data, unstructured data, or in-memory data store technologies.
- NoSQL databases such as MongoDB, Cassandra, or Cosmos DB.
- Cloud-based data movement and management using technologies such as Azure Data Factory, Azure Blob Storage, Azure Service Bus, Kafka, Redis, Amazon S3, AWS Glue, Azure Automation, machine learning services, or Elasticsearch.
- Distributed data processing technologies such as Spark or Hadoop.
PROFESSIONAL COMPETENCIES
- Software Engineering: Applies sound software engineering principles to develop clean, maintainable, testable, and scalable solutions. Able to work independently and develop complete and robust features.
- Data Engineering: Demonstrates strong understanding of data ingestion, transformation, integration, storage, data quality, and data lifecycle management.
- Database Expertise: Understands database architecture, SQL development, query optimization, indexing, data modeling, and performance tuning.
- Cloud & Architecture: Effectively evaluates and applies cloud services, distributed architectures, object-oriented design principles, and resiliency patterns.
- Problem Solving: Breaks down complex technical problems, evaluates alternatives, and develops pragmatic solutions based on business and technical requirements.
- Delivery Focus: Prioritizes shipping useful, sustainable solutions while remaining aware of scalability, maintainability, and technical debt. Must be able to estimate work and adhere to negotiated schedules.
- Collaboration: Works effectively with software engineers, data engineers, analysts, data scientists, architects, and business stakeholders.
- Communication: Clearly communicates technical concepts, design decisions, risks, and recommendations in both written and verbal formats.
- Ownership & Accountability: Takes ownership of individual work and contributes to shared team outcomes, including successes, challenges, and continuous improvement.
- Documentation: Consistently documents code, designs, processes, standards, and technical decisions.