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Backend Software Engineer

APN Consulting IncUnited States🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeRemote
LocationUnited States
MicroservicesMongoDBSQLScalaGitAWSC#CassandraGraphQLHadoopJavaKafkaPythonRedisRESTAzurePostgreSQLTypeScriptMachine LearningSQL ServerAzure Data Factory

Job description

APN Consulting, Inc. is a progressive IT staffing and services company offering innovative business solutions to improve client business outcomes. We focus on high impact technology solutions in ServiceNow, Fullstack, Cloud & Data, and AI / ML. Due to our globally expanding service offerings we are seeking top-talent to join our teams and grow with us.
We are supporting healthcare client of ours for Backend Software Engineer role.
Location: Remote, USA
Duration: FTE
Job Title: Backend Software Engineer
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, and maintainable backend solutions while helping establish engineering standards, patterns, and best practices.
The focus of this position is to integrate 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, as well as 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.
  • 3-8 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.

We are committed to fostering a diverse, inclusive, and equitable workplace where individuals from all backgrounds feel valued and empowered to contribute their unique perspectives. We strongly encourage applications from candidates of all genders, races, ethnicities, abilities, and experiences to join our team and help us build a culture of belonging.

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