Become a part of our caring community The Senior Encounter Data Management Professional develops business processes to ensure successful submission and reconciliation of encounter submissions to Medicaid/Medicare. Ensures encounter submissions meet or exceed all compliance standards via analysis of data, and develops tools to enhance the encounter acceptance rate by Medicaid/Medicare. Looks for long term improvements of encounter submission processes. Begins to influence department’s strategy. Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction. Exercises considerable latitude in determining objectives and approaches to assignments. The Senior Encounter Data Management Professional leads a team of 2-5 associates who develop efficient business processes for Error Corrections associates to ensure successful submission and reconciliation of encounter submissions to Medicare/Medicaid trading partners. Ensures Medicare/Medicaid encounter submissions meet or exceed all compliance standards via analysis of data and develops tools to enhance the encounter acceptance rate for Medicare/Medicaid trading partners. Looks for long term improvements for error corrections processes. Plays a key role in influencing departmental strategy and makes decisions on moderately complex to complex issues regarding resolution of error corrections. Exercises considerable latitude in determining objectives and approaches to assignments and can effectively communicate objectives and accomplishments to upper management. - Serves as a subject matter expert for error corrections teams for Medicare/Medicaid trading partners - Facilitates regular collaborative meetings with Encounter Submissions teams, providing status updates on inventory, outstanding concerns, systems issues, and more - Presents summary of inventory, successes, and areas of concerns to internal business partners - Serves as a point of contact for special projects for Medicare/Medicaid encounters - Identifies opportunities for process improvements and works with internal business partners to implement new processes and/or enhancements to existing processes - Provides ongoing support and training to direct reports and production associates Use your skills to make an impact Required Qualifications - 3 years or greater with Medicare and/or Medicaid claims processing or auditing experience - Experience with analyzing and visualizing large data sets - Prior experience in a fast-paced insurance or health care setting - Ability to manage multiple tasks and deadlines with attention to detail - Excellent communication skills - Self-starter, ability to work independently - Comprehensive knowledge of all Microsoft Office applications, including Word, PowerPoint, Outlook, and Intermediate Excel skills Preferred Qualifications - Bachelor's degree in Business, Finance, Operations or other related fields - Prior demonstrated experience with project management - Working knowledge of SQL writing, creating, and/or running queries (ORACLE, Microsoft SQL Server) - 1+ years experience working in CAS and CI - 1+ years of X-12 data knowledge - Six Sigma certification Additional Information Work-At-Home Requirements - WAH requirements: Must have the ability to provide a high-speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense. - A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required. - Satellite and Wireless Internet service is NOT allowed for this role. - A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information Interview Process As part of our hiring process, we will be using an exciting interviewing technology provided by HireVue, a third-party vendor. This technology provides our team of recruiters and hiring managers an enhanced method for decision-making. If you are selected to move forward from your application prescreen, you will receive correspondence inviting you to participate in a pre-recorded Voice Interview and/or an SMS Text Messaging interview. If participating in a pre-recorded interview, you will respond to a set of interview questions via your phone. You should anticipate this interview to take approximately 10-15 minutes. Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required. Scheduled Weekly Hours 40 Pay Range The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. $78,400 - $107,800 per year This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance. Description of Benefits Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities. Application Deadline: 04-14-2026 About us About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com. ​ Equal Opportunity Employer It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

Job Title: Data Engineer Job Description Data Engineer – Remote in Mexico We're Concentrix, the global technology and services leader that powers the world’s best brands, today and into the future. We’re solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we’re the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent. We embrace our game-changers with open arms, people from diverse backgrounds, who are curious and willing to learn. Your natural talent to help others and go beyond WOW for our customers will fit right in with what we do and who we are. As part of the Core Engineering Services team, we are seeking a Data Engineer to support the design, development, and maintenance of scalable data pipelines and cloud-based data solutions. We are looking for a hands-on specialist focused on building, optimizing, and supporting data workflows within our Azure and Databricks environment. Essential Functions/Core Responsibilities 1. Data Pipeline Engineering & Orchestration - Pipeline Development: Build and maintain robust data pipelines for ingesting, transforming, and loading data into the Azure data lake. - Workflow Management: Develop and support orchestration and workflow monitoring solutions to ensure reliable data delivery. - Performance Tuning: Write and optimize complex SQL queries; improve data performance via advanced query tuning and indexing. 2. Backend & API Integration - API Development: Develop backend data APIs and support API management configurations for seamless data exchange. - External Integration: Integrate with external systems and REST APIs to facilitate diverse data flows. - Streaming & Events: Manage the ingestion of streaming or event-based data (e.g., Event Hubs) into the ecosystem. 3. Infrastructure, DevOps & Quality - Infrastructure as Code: Implement and maintain Azure resources using Terraform and YAML-based configurations. - CI/CD & Versioning: Contribute to CI/CD pipelines using Azure DevOps and maintain strict version control, logging, and monitoring. - Data Governance: Support rigorous data quality checks, validation processes, and adhere to engineering best practices through code reviews. Candidate Profile - Education: Bachelor’s degree in Computer Science, Information Systems, or a related field. - Experience: 3+ years of hands-on experience in data engineering roles. - Language: Fluent in English. Technical Core - Language Mastery: Proficiency in Python (processing scripts/utilities) and SQL (transformation/analysis). - Cloud Ecosystem: Practical experience with Azure and Databricks; familiarity with Lakehouse architectures. - Data Modeling: Strong understanding of relational data models (Star/Snowflake, Kimball) and ETL/ELT concepts. - Big Data Tools: Experience working with Spark or similar big data technologies. Professional Experience - Technical Problem-Solver: Strong troubleshooting skills related to pipelines, jobs, and cloud components. - Collaborative Engineer: Experience working in Agile environments (Jira/GitHub), partnering with technical teams to translate requirements into solutions. - Self-Directed: Ability to work independently with minimal oversight, meeting deadlines across multiple simultaneous projects. Technical Stack Summary - Languages: Python, SQL - Platforms: Azure, Databricks, Azure Data Lake - Orchestration/DevOps: Azure DevOps, Terraform, GitHub, YAML - Data/Messaging: Spark, Event Hubs, RESTful APIs - Architecture: Lakehouse, Star/Snowflake Schema Join us and be part of this journey towards greater opportunities and brighter futures. Location: MEX Work-at-Home Language Requirements: Time Type: Full time

• Design and implement robust ETL/ELT pipelines to ingest data from legacy on-prem sources, AWS (S3/RDS), and Azure (Blob/SQL), centralizing it for consumption in Snowflake and AI services. • Build and maintain Feature Stores and specialized datasets optimized for machine learning, ensuring Data Scientists have immediate access to clean, versioned, and statistically valid data. • Develop the data pipelines required for Generative AI, including the automated extraction, chunking, and loading of unstructured data into vector stores across AWS and Azure. • Act as the technical lead for our Snowflake data warehouse, implementing sophisticated data modeling, Snowpipe automation, and compute optimization to support high-concurrency AI workloads. • Execute non-invasive data extraction patterns to unlock mission-critical data from decades-old on-premise systems without disrupting core business operations. • Manage complex, cross-platform data workflows using Airflow, Step Functions, or Azure Data Factory, ensuring the synchronization of data across our multi-cloud AI posture. • Partner directly with central IT, Database Administrators, and Security teams to solve connectivity hurdles (PrivateLink, IAM, firewalls) and secure 'license to operate' for new data flows. • Implement automated validation and observability layers to detect data drift and quality issues that could compromise the accuracy of production AI and Data Science models. • Drive the efficiency of our data stack by optimizing storage and query performance in Snowflake, AWS, and Azure to manage the ROI of the Transformation Office. • Work as a dedicated engineering partner to MLOps and Data Science teams to rapidly iterate on data requirements for evolving AI use cases.

• Own end to end solution architecture for connecting source systems to the enterprise analytics platform and delivering governed, performant, reusable data products for analytics and machine learning use cases • Define reference architectures and implementation patterns for Snowflake based solutions, including storage integration and stages, networking connectivity, key management, secure sharing, replication and disaster recovery approaches, and workload and warehouse strategy • Establish and promote architectural standards, best practices, and review mechanisms while mentoring and coaching technology team members to ensure consistent adoption • Collaborate with business and engineering teams to design end to end solutions that meet strategic, technical, and operational objectives and can be delivered incrementally