CareMetx, LLC

Data Engineer

• Assist with building and maintaining data pipelines to ensure smooth data integration and processing.
• Support the development and optimization of ETL (Extract, Transform, Load) workflows.
• Help in cleaning, organizing, and validating large datasets for analysis and reporting.
• Collaborate with data engineers to troubleshoot and resolve data-related issues.
• Work with various data storage and processing tools such as databases, cloud platforms, and scripting languages.
• Participate in team meetings to discuss data solutions and contribute ideas for process improvement.
• Perform other ad-hoc data engineering tasks and projects as assigned by senior team members.

Data Engineering/AI Internship

Operations

• The Operations Manager is responsible for the overall administration of a program or project as required by the client contract.
• Ensures team is meeting contractual obligations.
• Design programs which promote high motivation among team members.
• Conducts performance reviews and rewards positive behavior.
• Coaches, counsels, and sets goals for supervisors to help develop them for career progression.
• Provides day-to-day instructions to team members on job responsibilities.
• Helps associates resolve associate work-related issues.
• Supports new associates in their efforts for growth and development.
• Participates in the hiring and termination process.
• Develops designs and conducts Train the Trainer program.
• Provides feedback up and down the organization (Positive and Constructive).
• Participates in client meetings; prepares agenda and / or takes meeting notes.
• Ensures open communication with program support.
• Translates and oversees organizational strategies for assigned goals.
• Identifies client issues; receives and triages client requests.
• Proactively identifies program issues and proposes ways in which to address their concerns.
• Maintains positive rapport with client.
• Understands the billing process and contractual obligations.
• Participates in budget planning.
• Accountable for program quality and compliance with standard operating procedures.
• Designs project task plan and standard operating procedures.
• Analyzes reports for trends and gives recommendations.
• Analyzes progress of tactical issues.
• Reports all Adverse Events (AE) disclosed in alignment with training and Standard Operational Procedures (SOP)
• Maintain regular and reliable attendance, including being present, on time, and prepared for work as scheduled.
• Performs other related duties as assigned.

Operations Manager

Full-stack Engineer

• Build Next-Gen AI-Based Analytics Platform
• Design and develop an AI-native data insights and analytics platform that delivers real-time, intelligent insights to business stakeholders.
• Integrate AI agents, LangChain, LangGraph, and other AI frameworks as core platform capabilities, not afterthoughts.
• Build APIs and microservices that power analytics features and serve insights to end users.
• Create user-facing analytics capabilities that are intuitive, fast, and powered by AI.
• Architect Real-Time Data Infrastructure
• Design and implement real-time data pipelines using streaming technologies (Kafka, AWS Kinesis, etc.).
• Build event-driven architectures that process and analyze data as it arrives.
• Create high-performance data processing jobs optimized for speed and scalability.
• Ensure data flows are reliable, monitored, and self-healing.
• Software Engineering Excellence
• Apply software engineering best practices: clean code, testing, CI/CD, version control, code reviews.
• Write production-grade Python and SQL code that is maintainable, testable, and well-documented.
• Design systems with scalability, observability, and reliability in mind.
• Build with modern development practices and tools.
• Innovation and Problem-Solving
• Proactively identify inefficiencies, gaps, and opportunities for improvement in data systems and processes.
• Experiment with new technologies and approaches to solve complex data challenges.
• Drive innovation by proposing and implementing creative solutions.
• Take ownership of problems and see them through to resolution—be a self-starter who doesn't wait to be told what to do.
• Migration and Maintenance
• Support and maintain existing data warehouse infrastructure during the transition period.
• Plan and execute migration strategies from legacy systems to the new platform.
• Ensure business continuity while building the future state architecture.
• Collaboration and Leadership
• Work closely with data analysts, data scientists, product managers, and business stakeholders to understand needs and translate them into technical solutions.
• Mentor junior engineers and contribute to the growth of the data engineering practice.
• Communicate technical concepts clearly to both technical and non-technical audiences.
• Leverage AI for Development
• Use AI tools (including Claude, GitHub Copilot, etc.) to accelerate development and improve productivity—we care about outcomes, not how you get there.
• Stay current with AI/ML advancements and identify opportunities to leverage them in the platform and in your workflow.
• Maintain regular and reliable attendance, including being present, on time, and prepared for work as scheduled.
• Performs any other duties as assigned by management.

Senior Engineer I, AI Analytics

Solutions Engineer

• Accountable for defining the technical program solution, timeline and scope for standard CMTX offerings to align with client goals and CMTX organizational strategy
• Responsible for partnering with Product Management and Commercial team as appropriate to coordinate required cost/pricing inputs for pricing model during opportunity deal stage to ensure costs submitted consider solution scope, complexity, and staffing requirements
• Map client requirements to standard hub operational capabilities, technology platforms, and workflows
• Design end-to-end operational workflows covering all medical, pharmacy, and adherence services, including but not limited to: patient enrollment, benefits verification, prior authorization, copay assistance, and ongoing patient engagement
• Partner with Product Management to identify gaps between client expectations and standard CMTX offerings; document assumptions, constraints, out-of-scope items, and feasibility risks
• Partner with Product Management to support proposal development, client presentations, and early solution demonstrations
• Lead requirements intake and workflow design sessions with internal operational, technical, and compliance stakeholders
• Produce and maintain configuration documents, workflow diagrams, etc. required for program configuration
• Facilitate program design reviews and obtain internal and external review and signature for Program Rules Document
• Serve as solution SME and consultant throughout Sales and completion of Implementation
• Supports client escalations during implementation, as it relates to solution and scope management
• Travel may be required for client-related meetings
• Other duties as deemed required

Data Engineering/AI Internship

Operations Manager

Senior Engineer I, AI Analytics

Solution Architect