Job Title: Java Developer Spring Boot & NoSQL (Healthcare Domain) Location: Remote Experience: 2–4 Years Employment Type: Full-Time About the Role We are seeking a Mid-Level Java Developer with strong expertise in Spring Boot and NoSQL databases (e.g., MongoDB) to help build scalable APIs and backend systems in the healthcare domain . The ideal candidate has a solid understanding of healthcare workflows, data structures (e.g., claims, EHR, eligibility), and is comfortable working in an Agile, fast-paced environment. Key Responsibilities Design, develop, and maintain RESTful APIs using Java and Spring Boot . Integrate and manage NoSQL databases such as MongoDB for scalable data storage. Collaborate with business analysts, product managers, and front-end teams to define API contracts and business logic. Write clean, efficient, and testable code that meets performance and security standards. Troubleshoot and debug issues across services and databases, and implement robust logging and monitoring solutions. Participate in Agile ceremonies (daily stand-ups, sprint planning, retrospectives). Apply healthcare domain knowledge to understand data flows involving claims, members, providers, and compliance-related structures. Ensure adherence to HIPAA and healthcare data security requirements. Required Qualifications 2–4 years of experience in Java development with a focus on Spring Boot and REST APIs . Hands-on experience with MongoDB or similar NoSQL databases. Strong understanding of API architecture , OAuth2/JWT , and microservice communication patterns. Familiarity with healthcare data elements such as claims (837/835) , member/provider info, or EHR systems . Proficiency with tools such as Git , Maven/Gradle , and CI/CD pipelines . Strong understanding of Agile methodologies and experience working in Scrum or Kanban teams. Preferred Qualifications Exposure to FHIR , HL7 , or EDI formats . Knowledge of event-driven architectures . Prior experience in payer, provider, or health tech environments. Education Bachelor’s degree in Computer Science, Engineering, or a related technical field.

Job Title : Mid-Level Data Engineer Healthcare Domain Location: Remote Option Experience: 2 to 3 Years Employment Type: Full-Time About the Role We are seeking a motivated and detail-oriented Mid-Level Data Engineer with 2 to 3 years of experience in designing, developing, and optimizing data pipelines within the healthcare domain. The ideal candidate will have hands-on experience with Databricks , strong SQL skills, and a solid understanding of healthcare data standards (e.g., HL7, EDI X12 837/835, HCC, CPT/ICD codes). Key Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines using Databricks , PySpark , and Delta Lake for large-scale healthcare datasets. Collaborate with data scientists, analysts, and product managers to understand data requirements and deliver clean, reliable data. Ingest, process, and transform healthcare-related data such as claims (837/835) , EHR/EMR , provider/member , and clinical datasets . Implement data quality checks, validations, and transformations to ensure high data integrity and compliance with healthcare regulations. Optimize data pipeline performance, reliability, and cost in cloud environments (preferably Azure or AWS). Maintain documentation of data sources, data models, and transformations. Support analytics and reporting teams with curated datasets and data marts. Adhere to HIPAA and organizational standards for handling PHI and sensitive data. Assist in troubleshooting data issues and root cause analysis across systems. Required Qualifications 2–3 years of experience in a data engineering role, preferably in the healthcare or healthtech sector. Hands-on experience with Databricks , Apache Spark (PySpark) , and SQL . Familiarity with Delta Lake , data lakes , and modern data architectures . Solid understanding of healthcare data standards : EDI 837/835, CPT, ICD-10, DRG, or HCC. Experience with version control (e.g., Git ), CI/CD workflows, and task orchestration tools (e.g., Airflow , Azure Data Factory , dbt ). Ability to work with both structured and semi-structured data (JSON, Parquet, Avro, etc.). Strong communication skills and ability to collaborate in cross-functional teams. Education Bachelor’s degree in Business Administration, Healthcare Informatics, Information Systems, or a related field.

Job Title : Senior-Level Data Engineer Healthcare Domain Location: Remote Option Experience: 5+ Years Employment Type: Full-Time About the Role We are looking for a Senior Data Engineer with extensive experience in healthcare data ecosystems and Databricks-based pipelines . The ideal candidate brings deep technical expertise in building large-scale data platforms, optimizing performance, and ensuring compliance with healthcare data standards (e.g., HIPAA, EDI, HCC). This role requires the ability to lead data initiatives, mentor junior engineers, and work cross-functionally with product, analytics, and compliance teams. Key Responsibilities Architect, develop, and manage large-scale, secure, and high-performance data pipelines on Databricks using Spark , Delta Lake , and cloud-native tools . Design and implement healthcare-specific data models to support analytics, AI/ML, and operational reporting. Ingest and transform complex data types such as 837/835 claims , EHR/EMR records , provider/member files , lab results , and clinical notes . Lead data governance, quality, and security initiatives ensuring compliance with HIPAA , HITECH , and organizational policies. Collaborate with cross-functional stakeholders to understand data needs and provide robust, scalable solutions. Mentor junior and mid-level engineers, performing code reviews and technical guidance. Identify performance bottlenecks and implement optimizations in Spark jobs and SQL transformations. Own and evolve best practices for CI/CD , version control, and deployment automation. Stay up to date with industry standards (e.g., FHIR , HL7 , OMOP ) and evaluate new tools/technologies. Required Qualifications 5+ years of experience in data engineering, with 3+ years in healthcare or life sciences domain. Deep expertise with Databricks , Scala , Apache Spark (preferably PySpark) , and Delta Lake . Proficiency in SQL , Python , and data modeling (dimensional/star schema, normalized models). Strong command over 837/835 EDI formats , CPT/ICD-10/DRG/HCC coding , and data regulatory frameworks. Experience with cloud platforms such as Azure , AWS , or GCP and cloud-native data services (e.g., S3, ADLS, Glue, Data Factory). Familiarity with orchestration tools like Airflow , dbt , or Azure Data Factory . Proven ability to work in agile environments , manage stakeholder expectations, and deliver end-to-end data products. Experience implementing monitoring, observability , and alerting for data pipelines. Strong written and verbal communication skills for both technical and non-technical audiences. Education Bachelors degree in Business Administration, Healthcare Informatics, Information Systems, or a related field.

Job Title: Senior API Developer Java/Spring Boot Location: Remote Experience: 7+ Years Employment Type: Full-Time About the Role We are seeking a Senior API Developer with strong expertise in designing and building scalable, secure APIs and backend systems. This role requires a seasoned professional with 7+ years of hands-on experience in enterprise application development and demonstrated leadership skills to guide teams, influence architecture decisions, and drive delivery across complex projects. Key Responsibilities Design, develop, and maintain robust, scalable RESTful APIs using Java (Spring Boot) or similar frameworks. Lead the end-to-end design and implementation of microservices architectures and ensure adherence to best practices. Mentor and guide junior developers; conduct code reviews and ensure coding standards are met. Collaborate with cross-functional teams (product managers, architects, QA, DevOps) to ensure timely delivery and alignment with business goals. Contribute to architectural decisions, including scalability, performance, and security. Drive improvements in API performance, documentation (OpenAPI/Swagger), testing automation, and CI/CD practices. Troubleshoot and resolve complex system and integration issues. Ensure compliance with data privacy , security standards , and relevant domain-specific regulations (e.g., HIPAA if healthcare-based). Communicate effectively with both technical and non-technical stakeholders. Required Qualifications 7+ years of professional experience in backend/API development with Java , Spring Boot , or equivalent frameworks. Strong expertise in REST API design, best practices, and patterns. Solid experience with NoSQL/SQL databases such as MongoDB , PostgreSQL , or MySQL . Experience leading or mentoring development teams, contributing to project planning and technical design. Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes). Strong understanding of security standards , including OAuth2 , JWT , and API gateways . Proficiency in using tools such as Git , Jenkins , JIRA , and Swagger/OpenAPI . Preferred Qualifications Experience in the healthcare domain , including working with data standards such as FHIR , HL7 , EDI 837/835 , or HIPAA compliance. Exposure to event-driven systems and tools such as Kafka , RabbitMQ , or SNS/SQS . Previous experience in a technical lead or engineering leadership capacity. Understanding of DevOps and SRE practices in a distributed systems environment. Education Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field.