Backend Engineer

• Liaise with various program hiring teams to identify and address recruitment needs (e.g., BGC requirements, staffing gaps, ramp-ups).
• Attend calibration sessions and meetings to align on hiring timelines, candidate profiles, and sourcing priorities.
• Track and report recruitment progress and escalate bottlenecks when necessary.
• Conduct regular spot checks on coaching sessions to ensure compliance and coaching quality.
• Review documentation and provide reports on coaching trends and opportunities for improvement.
• Actively participate in the planning, organization, and execution of employee engagement activities.
• Collaborate with HR and site engagement teams to increase participation and enhance employee experience.
• Measure and report on engagement metrics and post-event insights.

Senior Executive – Customer Care, Non-Voice, Back-End/Transaction Processing

Operations

• Review and set up medical record invoices for payment processing
• Complete monthly Vendor AR Aging reconciliation
• Post claims details for provider collection payments received
• Verify Medical Records received and follow up to ensure all needs are met

Healthcare Operations Intern – Medical Records

Business Analyst

• Gather and document business requirements for data engineering and analytics projects.
• Translate business needs into clear and concise technical specifications for developers
• Collaborate with data engineers and analysts to ensure requirements are technically feasible
• Create and maintain comprehensive documentation of data flows, data models and business rules
• Good to have -> Candidate is familiar with data documentation needed for Change Releases
• Analyze existing data systems and processes to identify areas of improvement
• Communicate effectively with both technical and non-technical stakeholders throughout the project lifecycle.

Engineer

• Strong hands-on 8+ years of experience as Java Developer with strong Kafka expertise to design, develop, and support high-performance, event driven applications
• Design, develop, and maintain Java based enterprise applications using Spring Boot and microservices architecture.
• Build and manage event driven systems using Apache Kafka, including producers, consumers, topics, partitions, and schemas
• Collaborate with architects, business analysts, and DevOps teams to deliver scalable and resilient solutions.
• Implement RESTful APIs and integrate with downstream and upstream systems.
• Ensure high availability, fault tolerance, and performance tuning of Kafka and Java applications.
• Participate in code reviews, sprint planning, and production support activities.
• Troubleshoot and resolve production issues with a focus on root cause analysis.

Kafka Engineer

Data Analyst

• Support the business team in evaluating trends on utilization of products / services based on historical data.
• Retrieve, organize and perform research/analysis on Medical Health Claim data.
• Identify root cause and is a proactive thinker, self-starter, who enjoys working in a fast-paced and challenging environment.
• Work independently in various areas such as Inpatient, Outpatient, SNF, Rehab, Professional, DME, HCD/HIT areas.

Senior Manager – Data Analyst, Medical Health Claims

• 7-10 years of experience in software development with strong focus on Java / J2EE technologies.
• Proven experience in programming microservices-based applications.
• Strong knowledge of Spring Boot, Spring Cloud, Hibernate, REST APIs.
• Hands-on experience writing queries with Oracle and MSSQL Databases.
• Good understanding of containerization technologies like OCP, Docker, Kubernetes
• Experience with CI/CD pipelines, Git, Jenkins, and automated testing tools.
• Strong problem-solving skills and ability to lead technical teams.
• Provides technical guidance and support to colleagues and solution development.

Java Developer

Data Engineer

• Design, develop, and maintain scalable and reliable data pipelines
• Build and optimize ETL/ELT processes to ingest data from multiple sources
• Develop and manage data models in BigQuery to support analytics and reporting
• Implement automated workflows and scheduling using Airflow
• Ensure data quality, integrity, and performance across pipelines
• Collaborate with cross-functional teams to gather requirements and deliver data solutions
• Apply CI/CD best practices to support efficient and reliable deployments
• Troubleshoot and resolve data pipeline and performance issues

Project Manager

• The Project / Program Manager will lead and drive high impact, cross functional sales and go to market initiatives across the Pharmacy Health Technology Solutions (PHT) organization.
• This role is responsible for planning, executing, and tracking strategic sales and marketing programs that deliver measurable financial outcomes, including revenue growth, customer retention, and expansion across the PHT portfolio.
• Partnering closely with Sales, Marketing, Pricing, and other functional teams, this role serves as the central point of coordination—translating strategy into execution, driving accountability, and ensuring initiatives are delivered on time, on scope, and with clear performance metrics.

Healthcare Operations Intern – Post Audit

Cloud Engineer

• Configure and Deploy Azure Cloud Services utilizing Infrastructure As Code and Automation
• Collaborate with Software Developers, gathering technical requirements and developing Infrastructure as Code to deploy Azure Cloud Services for customer-facing hosted applications
• Work in a collaborative team environment, sharing, evaluating, and reviewing code, processes and operations
• Develop, maintain and manage code in Azure DevOps/GIT working with Bicep, Terraform, Azure Resource Manager (ARM) and PowerShell
• Full understanding of DevOps, Agile, Scrum and CI/CD methodology
• Translate business requirements into technical solutions, ensuring security, compliance, scalability and resilience
• Understand and implement security utilizing Users, Groups, and Permissions, both from Active Directory
• As needed complete work during maintenance windows/off hours; act as an escalation point for 24 x 7 systems
• Configure, maintain, and troubleshoot infrastructure, software, and systems connectivity
• Administer and manage DataBricks, Power BI, and Azure Data Factory
• Develop and implement business continuity and disaster recovery plans related to cloud services
• Discover and implement opportunities to utilize Artificial Intelligence
• Ability to train and mentor engineers to build growing team

Azure Cloud Engineer

• Design, implement, and manage cloud infrastructure on AWS to support AI, data, and application workloads
• Develop and maintain Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, or similar
• Build and manage CI/CD pipelines to support automated build, test, and deployment of applications and data services
• Manage containerized environments using Docker and container orchestration platforms
• Implement monitoring, logging, and alerting frameworks to ensure high availability and reliability of systems
• Optimize infrastructure performance, scalability, and cost across cloud environments
• Implement and maintain security best practices, including IAM policies, network security, and secrets management
• Exposure to AI initiatives and Experience supporting infrastructure needs for AI workflows.
• Collaborate with data engineers to support deployment and scaling of AI and data platforms
• Support platform reliability through automation, system monitoring, and incident response processes
• Maintain documentation for infrastructure architecture, deployment processes, and operational procedures

Lead Cloud Engineer

• Support and test system configuration, and build data validation processes for indirect tax rules for existing (and proposed) business models and markets.
• Test new and existing features in in-house financial reporting tools (identify bugs, suggest and implement improvements).
• Work and collaborate with various internal stakeholders on projects including system testing, data sharing, tax reporting.
• Together with the team, build (automated) processes to improve efficiency and accuracy in global tax reporting and tax system monitoring.
• Acquire and analyze data across multiple lines of business including Mobility and Delivery.
• Support building and testing reports in SQL to meet various countries’ tax and data reporting requirements.
• Using programming skills, produce periodic reports or statistical analysis for internal stakeholders that enable effective business analysis and decision making.

Senior Tax Analyst

• Design, build, and maintain scalable, secure, and high-performance data pipelines on GCP.
• Develop and manage ETL/ELT workflows using Python, SQL, Cloud Composer, and DataProc.
• Create and optimize enterprise-grade data models and storage solutions using BigQuery.
• Partner with Data Science teams to support model development, experimentation, feature engineering, and ML pipeline deployment, including leveraging Vertex AI.
• Set up and maintain CI/CD pipelines using GitHub Actions, ensuring automated testing, versioning, and deployment of data workflows.
• Use GKE to orchestrate containerized data applications and services.
• Implement best practices in data quality, version control, monitoring, and performance tuning.
• Collaborate with cross-functional teams (Product, Engineering, Data Science, Business) to translate data needs into technical solutions.
• Ensure data governance, security, and compliance with enterprise and regulatory standards.

GCP Cloud Engineer

Auditor

• Conduct comprehensive MS-DRG and APR-DRG coding reviews to ensure accuracy in DRG assignment and reimbursement.
• Apply expert knowledge of coding guidelines and utilize industry-leading tools to maximize overpayment identifications.
• Craft clear, concise, and well-supported audit findings, backed by AHA Coding Clinic Guidelines and ICD-10-CM/PCS regulations.
• Utilize advanced DRG encoder tools (such as 3M, Webstrat) to drive efficiency and accuracy in audits.
• Meet or exceed EXL’s quality and productivity standards, including strong uphold rates for appeals.
• Stay ahead of industry trends, coding updates, and compliance regulations to maintain expert-level knowledge.
• Adhere to HIPAA and EXL policies and procedures to ensure data security and regulatory compliance.

DRG Auditor III, Healthcare

Data Scientist

• Analyze large-scale healthcare datasets (medical & pharmacy claims, EHR, labs, SDOH)
• Design and execute real-world evidence (RWE) studies
• Apply statistical and quasi-experimental methods to evaluate intervention impact
• Develop predictive and analytical models to support population health strategies
• Analyze patient journeys, care patterns, and provider networks
• Identify healthcare disparities and access barriers
• Translate analyses into actionable insights for stakeholders