Overview
On Site
Full Time
Part Time
Accepts corp to corp applications
Contract - Independent
Contract - W2
Skills
Generative Artificial Intelligence (AI)
Collaboration
Storage
Data Modeling
Database Design
Search Technologies
Natural Language Processing
Semantic Search
Extract
Transform
Load
ELT
Apache Kafka
Apache Flink
RabbitMQ
Data Flow
Data Security
Privacy
Access Control
Encryption
Regulatory Compliance
Health Care
Knowledge Sharing
Artificial Intelligence
Machine Learning (ML)
Computer Science
Software Development
FOCUS
Java
Python
Object-Oriented Programming
Software Engineering
Data Structure
Algorithms
RESTful
Microservices
OCI
Microsoft Azure
Google Cloud
Google Cloud Platform
Amazon Web Services
Cloud Computing
Kubernetes
Docker
Communication
SANS
IT Management
Mentorship
Job Details
Hiring: W2 Candidates Only
Visa: Open to any visa type with valid work authorization in the USA
Level: Mid to Lead positions
Job Description
you will be a key contributor to the development and success of our next-generation CDA platform, which leverages the power of generative AI and cloud-native technologies. Your expertise in data platform engineering will drive the creation of a robust and intelligent system, enhancing the healthcare experience for patients and clinicians alike.
Responsibilities
- Design and implementation of the CDA data platform, ensuring it is scalable, secure, and optimized for AI-driven applications.
- Collaborate closely with the CDA team, including AI researchers, software developers, and healthcare domain experts, to define and refine the platform's architecture.
- Develop and maintain the backend infrastructure, focusing on data ingestion, storage, processing, and retrieval systems.
- Implement data modeling and database design to support complex healthcare data structures and relationships.
- Integrate search technologies and natural language processing (NLP) capabilities to enable conversational search, semantic search, and summarization features.
- Build and optimize data pipelines using ETL/ELT processes and tools like Kafka, Flink, and RabbitMQ for efficient data flow.
- Ensure data security and privacy by implementing access controls, encryption, and compliance with healthcare regulations.
- Mentor and guide junior engineers, fostering a culture of knowledge-sharing and technical excellence.
- Stay updated with the latest advancements in cloud-native AI/ML technologies and propose innovative solutions to enhance the CDA platform.
Qualifications:
- BS or MS degree in Computer Science or a related field is required, with a strong academic background.
- 4+ years of relevant software development experience, with a focus on backend and data-centric applications.
- Proficient in Java, Python, or similar object-oriented languages for building robust backend systems.
- Strong software engineering fundamentals, including expertise in data structures, algorithms, RESTful services, and microservices architecture.
- Hands-on experience with cloud-native development on major cloud platforms (OCI, Azure, Google Cloud Platform, AWS) is essential.
- Familiarity with cloud engineering infrastructure and containerization (Kubernetes, Docker).
- Excellent communication skills for conveying complex technical concepts to both technical and non-technical stakeholders.
- Demonstrated technical leadership and a passion for mentoring junior team members.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.