9 jobs found

Job Description Job Description " Design, develop, and maintain secure, scalable RESTful APIs using ASP.NET Core. " Build modern, responsive web applications using Angular. " Develop microservices-based solutions supporting member, provider, eligibility, and claims platforms. " Integrate front-end applications with backend APIs and enterprise systems. " Implement API contracts using OpenAPI/Swagger standards. " Develop reusable Angular components, services, and state management solutions. " Collaborate with business analysts, architects, UX designers, and QA teams in Agile/Scrum environments. " Optimize application performance, scalability, and security. " Implement CI/CD pipelines and automated deployments. " Create technical documentation, API specifications, and integration guides. " Participate in code reviews, design discussions, and production support activities. " Ensure adherence to HIPAA, security, and enterprise architecture standards. Preferred Healthcare Experience " Healthcare Payer Experience " Vision Benefits Domain Experience " Member Eligibility Systems " Provider Directory Solutions

Position: Senior Business Analyst - Guidewire ClaimCenter Experience: 7+ Years Domain: Property & Casualty (P&C) Insurance Certification: Guidewire ClaimCenter Certification - Mandatory Job Summary We are looking for an experienced Business Analyst with 7+ years of experience in the P&C Insurance domain and strong functional expertise in Guidewire ClaimCenter. The ideal candidate must be Guidewire ClaimCenter certified, with a good understanding of end-to-end claims management processes and hands-on experience working on Guidewire ClaimCenter implementation, enhancement, or transformation projects.

Genesis10 is currently seeking a Senior Data Analyst - Onsite for a Contract-to-Hire position with a Major Insurance Company located in New York, NY. Compensation: $75.00 - $85.00 per hour, W2, based on qualifications Position Overview: As a Senior Data Analyst, this role plays a critical part in advancing stakeholder reporting, data quality, and analytical capabilities. This position owns the end-to-end integration of complex policy, claims, underwriting, and financial data into structured data marts. Combining advanced insurance domain expertise with data analysis and engineering, the ideal candidate will solve complex data challenges, influence decision-making, and identify opportunities to improve operational effectiveness. Key Responsibilities: Design advanced analyses and metrics leveraging AI tools and technology to improve performance, scalability, and reusability of datasets and dashboards Transform complex business requirements into scalable data solutions, analytical frameworks, and actionable insights Analyze policy, claims, underwriting, financial, and operational data to ensure accuracy, completeness, consistency, and regulatory compliance Develop, optimize, and maintain complex SQL queries, data models, reconciliations, and datasets Partner with Data Engineering and Application teams to design and implement data enrichment, transformation, and integration solutions Own data preparation, validation, and reconciliation activities supporting statutory reporting, regulatory filings, and audits Independently diagnose data quality, integration, and reporting issues across multiple systems Build strong partnerships with Compliance, Finance, Underwriting, Claims, Actuarial, and Data Engineering teams Effectively communicate complex analytical findings to both technical and non-technical audiences Mentor and provide guidance to other analysts Primary Requirements: Bachelor's degree in data science, statistics, business analytics, computer science, actuarial science, finance, or a related quantitative field 5+ years of progressive experience in data analysis, business intelligence, analytics, or regulatory reporting Demonstrated experience supporting regulatory, statutory, compliance, or financial reporting processes Strong knowledge of insurance operations and data structures across policy, claims, underwriting, accounting, or finance Advanced proficiency in SQL and experience working with large-scale relational databases and data warehouses Experience with cloud-based data platforms such as Snowflake Experience performing complex data analysis, reconciliation, root-cause investigation, and data quality assessments Proven ability to influence stakeholders and collaborate effectively across technical and business teams Strong verbal, written, presentation, and data storytelling skills Familiarity with AI concepts Strong SQL and a solid understanding of core data warehouse concepts, including data modeling, integration, reconciliation, and data quality An analytics mindset, with the ability to translate business questions into data analysis and actionable insights Data engineering experience is valuable, but not looking for a deeply specialized data engineer. Desired Skills: Master's degree in a quantitative, analytical, or business-related discipline Property & Casualty insurance industry experience, including good working knowledge of P&C insurance fundamentals, particularly policy and claims data and the ability to understand the business meaning behind the data Experience with Python, Power BI, or similar analytical and visualization platforms Experience with data governance frameworks, metadata management, data lineage, and data quality programs Intermediate or advanced Property & Casualty insurance designations (CPCU, AINS, AU, API, or equivalent) Experience partnering with Actuarial teams Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description Job Description Primary Responsibilities •Own end-to-end application and technical architecture for reporting, analytics, data integration, and transaction-based processing solutions across on-premises platforms and future cloud services. •Translate business, operational, and regulatory requirements into maintainable system designs, including configurable business rules, effective-dated reference data, traceability, auditability, and reconciliation. •Design and lead modernization of legacy ETL, SQL logic, Linux/Unix scripts, and manual processing into Python-based applications and automation, using enterprise data platforms efficiently for high-volume processing. •Provide hands-on technical leadership across architecture, development, code review, testing, deployment, performance tuning, and production support to unblock the team. •Build proof-of-concepts that compare solution options, document measurable results, and support architecture decisions with the customer and leadership. •Define technical architecture across web/UI, API and service layers, processing engines, databases, orchestration, scheduling, security, identity/access, monitoring, and backup/recovery, in partnership with infrastructure, security, cloud, and data peers. •Lead BI and analytics delivery including enterprise report design, drill-down and detail reporting, reconciliation, data quality, and modernization of legacy reporting capabilities. •Establish engineering practices using Azure DevOps or equivalent - epics and user stories, repositories, branching, pull requests, code review, CI/CD, release traceability, and production deployment - and apply AI and automation with appropriate governance to accelerate analysis, conversion, documentation, and testing. •Produce architecture diagrams, solution designs, technical specifications, dataflow and interface documentation, implementation of roadmaps, estimates, risks, and operational support models. •Lead and mentor architects, data engineers, ETL and BI developers, modelers, analysts, and testers; build backup coverage and develop team capability. •Present architecture, options, risks, and recommendations concisely to customer stakeholders and project leadership, creating clarity across ambiguous scope, legacy constraints, and accelerated timelines. Required Qualifications •Healthcare payer, Medicaid, managed care, or health-insurance experience, including claims, adjustments, voids, eligibility, providers, payments, and regulatory reporting data.

Job Description Job Description Role: Senior .NET Full Stack Developer (Angular) Duration: 6 months Location: Casar, NC Type : Contract Rate: $50 to $55/hr Job Description: Design, develop, and maintain secure, scalable RESTful APIs using ASP.NET Core. Build modern, responsive web applications using Angular. Develop microservices-based solutions supporting member, provider, eligibility, and claims platforms. Integrate front-end applications with backend APIs and enterprise systems. Implement API contracts using OpenAPI/Swagger standards. Develop reusable Angular components, services, and state management solutions. Collaborate with business analysts, architects, UX designers, and QA teams in Agile/Scrum environments. Eligible to workimize application performance, scalability, and security. Implement CI/CD pipelines and automated deployments. Create technical documentation, API specifications, and integration guides. Participate in code reviews, design discussions, and production support activities. Ensure adherence to HIPAA, security, and enterprise architecture standards. Preferred Healthcare Experience Healthcare Payer Experience Vision Benefits Domain Experience Member Eligibility Systems Provider Directory Solutions Claims Processing Platforms HIPAA Compliance HL7/FHIR API Integrations (Preferred) Qualifications Bachelor's degree in Computer Science, Engineering, or related field. 5 years of experience with .NET application development. 3 years of Angular development experience. Strong experience building enterprise-grade APIs and web applications. Experience working in Agile/Scrum teams. Excellent communication and stakeholder collaboration skills.

Summary The Senior Data Integration Engineer is responsible for the design, development, and operation of the data integration and ingestion processes that deliver partner and internal data into our analytics environment. The role owns the flow of data from source acquisition through the curated data warehouse tables consumed by reporting platforms, operational systems, and business analysts. This is a senior, hands-on engineering position spanning the full integration lifecycle: acquiring data from a wide range of external partner and internal systems, validating and conditioning that data on arrival, transforming it into the structures that support analysis and operations, and operating those processes reliably in production. The role is concerned equally with building new integrations and with the continued performance, accuracy, and timeliness of those already in service. A central objective of the position is to advance reusable, well-instrumented integration patterns that shorten the time required to onboard new data sources and that improve the reliability and transparency of data delivery to the business. The Senior Data Integration Engineer will also contribute substantially to the planned modernization of our data platform, evaluating and recommending tooling, architecture, and migration approach for leadership consideration. The role sets technical direction and development standards for data integration work and collaborates closely with data architects, business analysts, stakeholders across the organization, and the technical contacts of our external data partners. Essential Duties and Responsibilities This list of duties and responsibilities is not all inclusive and may be expanded to include other duties and responsibilities as management may deem necessary from time to time. Design, develop, and maintain data integration processes that acquire data from partner and internal sources, including flat file transfers over SFTP, REST API endpoints, and direct database connections. Develop reusable, configuration-driven ingestion patterns that reduce the effort and elapsed time required to onboard new partner data feeds. Develop and maintain the T-SQL transformation logic that carries data from landing and staging layers through to the curated warehouse tables supporting reporting, operational systems, and analyst queries. Design ingestion processes to be idempotent and safely re-runnable, incorporating automated retry and restart behavior for failed executions. Implement automated validation and quarantine processes so that records failing business-defined quality rules are isolated, reported, and prevented from reaching downstream consumers. Implement data quality rules defined by the business, including schema validation, reconciliation, row count and threshold checks, and anomaly detection. Establish monitoring, logging, and alerting for pipeline execution state, data freshness, and load completion, and automate the communication of ingestion status to stakeholders. Diagnose and resolve production data incidents, determine root cause, coordinate remediation, and document preventive measures through runbooks and post-incident review. Contribute to dimensional data model design in collaboration with the data architect and senior team members. Establish and maintain version control, code review, and repeatable deployment practices for database and pipeline code. Define and uphold development standards for data integration work through code review and technical guidance. Evaluate and recommend tooling, architecture, and sequencing for the platform modernization effort for leadership consideration. Migrate established integration workflows to modernized patterns incrementally and without disruption to production operations. Maintain documentation of data feeds, dependencies, lineage, ownership, and escalation paths. Perform all work involving protected health information in accordance with HIPAA requirements, including least-privilege access, secure transmission and storage of partner data, and the exclusion of PHI from logs and non-production environments. Coordinate with partner technical contacts, as needed, to resolve file format, schema, and connectivity questions. Provide occasional off-hours support for critical data load failures or production support rotations as needed to support timely response to critical data issues. Support AI and machine learning initiatives by maintaining reliable, secure, and well-governed data pipelines and datasets used for model development, testing, deployment, monitoring, and ongoing performance evaluation. Maintain confidentiality of information processed & follow company policies and procedures. Qualifications Requires six (6) or more years of professional data engineering, data operations, data platform operations, or related experience. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent professional experience preferred. Experience leading teams and developing supervisory staff preferred. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Other qualifications include: Advanced T-SQL development skills, including: Set-based rewriting of row-by-row and cursor-based logic. MERGE, upsert, and slowly changing dimension load patterns. Window functions and complex analytic queries. Execution plan analysis, index strategy, statistics management, and resolution of performance issues such as parameter sniffing. Transaction management and structured error handling within stored procedures, including correct rollback behavior on partial failure. Demonstrated proficiency in Python for data engineering applications, including API-based data acquisition, file parsing and format handling, data validation, and the development of packaged, scheduled jobs. Familiarity with common data libraries such as requests and pandas is expected. Demonstrated experience acquiring and integrating data from heterogeneous sources, including delimited, fixed-width, JSON, and XML file formats; REST APIs requiring authentication, pagination, and rate-limit handling; and direct database connectivity. Proficiency with Git and collaborative development workflows, including branching, pull requests, and code review. A code-first development approach, with integration logic authored and maintained in T-SQL and Python under source control. Ability to analyze pipeline and query performance and to improve the reliability, scalability, and cost efficiency of data workloads. Strong written communication skills, with the ability to produce runbooks, technical documentation, and incident reports, and to convey the business impact of technical issues to non-technical stakeholders. Strong problem-solving skills, attention to detail, and demonstrated ownership of production systems. Experience with Microsoft Azure data services such as Azure Data Factory or Microsoft Fabric, or comparable cloud orchestration platforms. Experience migrating on-premises SQL Server integration workloads to a cloud platform. Experience with dimensional modeling and data warehouse design. Experience designing and rationalizing SQL Server Agent job dependencies and scheduling. Experience establishing version control, code review, and repeatable deployment practices for database code. Experience implementing CI/CD pipelines for database projects. Experience handling protected health information under HIPAA, or comparably regulated data under an equivalent framework preferred. Experience with healthcare or pharmacy data, including claims, eligibility, prescription, or delivery data preferred. Familiarity with data governance, metadata management, and data lineage practices. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. (The phrases "occasionally," "regularly," and "frequently" correspond to the following definitions: "Occasionally" means up to 1/3 of working time, "regularly" means between 1/3 and 2/3 of working time, and "frequently" means 2/3 and more working time.) While performing the duties of this job, the employee is frequently required to sit; talk or hear; and use hands to handle, or touch objects or controls. The employee is regularly required to stand and walk. On occasion the incumbent may be required to stoop, bend or reach above the shoulders. The employee would rarely need to lift up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. Work Environment The position is a hybrid position with 2 - 3 days office presence in Milwaukee, WI required. The colleague may perform work-related travel on rare occasions (less than 10%) with an emphasis on travel for impact. . click apply for full job details

Summary The Senior Data Integration Engineer is responsible for the design, development, and operation of the data integration and ingestion processes that deliver partner and internal data into our analytics environment. The role owns the flow of data from source acquisition through the curated data warehouse tables consumed by reporting platforms, operational systems, and business analysts. This is a senior, hands-on engineering position spanning the full integration lifecycle: acquiring data from a wide range of external partner and internal systems, validating and conditioning that data on arrival, transforming it into the structures that support analysis and operations, and operating those processes reliably in production. The role is concerned equally with building new integrations and with the continued performance, accuracy, and timeliness of those already in service. A central objective of the position is to advance reusable, well-instrumented integration patterns that shorten the time required to onboard new data sources and that improve the reliability and transparency of data delivery to the business. The Senior Data Integration Engineer will also contribute substantially to the planned modernization of our data platform, evaluating and recommending tooling, architecture, and migration approach for leadership consideration. The role sets technical direction and development standards for data integration work and collaborates closely with data architects, business analysts, stakeholders across the organization, and the technical contacts of our external data partners. Essential Duties and Responsibilities This list of duties and responsibilities is not all inclusive and may be expanded to include other duties and responsibilities as management may deem necessary from time to time. Design, develop, and maintain data integration processes that acquire data from partner and internal sources, including flat file transfers over SFTP, REST API endpoints, and direct database connections. Develop reusable, configuration-driven ingestion patterns that reduce the effort and elapsed time required to onboard new partner data feeds. Develop and maintain the T-SQL transformation logic that carries data from landing and staging layers through to the curated warehouse tables supporting reporting, operational systems, and analyst queries. Design ingestion processes to be idempotent and safely re-runnable, incorporating automated retry and restart behavior for failed executions. Implement automated validation and quarantine processes so that records failing business-defined quality rules are isolated, reported, and prevented from reaching downstream consumers. Implement data quality rules defined by the business, including schema validation, reconciliation, row count and threshold checks, and anomaly detection. Establish monitoring, logging, and alerting for pipeline execution state, data freshness, and load completion, and automate the communication of ingestion status to stakeholders. Diagnose and resolve production data incidents, determine root cause, coordinate remediation, and document preventive measures through runbooks and post-incident review. Contribute to dimensional data model design in collaboration with the data architect and senior team members. Establish and maintain version control, code review, and repeatable deployment practices for database and pipeline code. Define and uphold development standards for data integration work through code review and technical guidance. Evaluate and recommend tooling, architecture, and sequencing for the platform modernization effort for leadership consideration. Migrate established integration workflows to modernized patterns incrementally and without disruption to production operations. Maintain documentation of data feeds, dependencies, lineage, ownership, and escalation paths. Perform all work involving protected health information in accordance with HIPAA requirements, including least-privilege access, secure transmission and storage of partner data, and the exclusion of PHI from logs and non-production environments. Coordinate with partner technical contacts, as needed, to resolve file format, schema, and connectivity questions. Provide occasional off-hours support for critical data load failures or production support rotations as needed to support timely response to critical data issues. Support AI and machine learning initiatives by maintaining reliable, secure, and well-governed data pipelines and datasets used for model development, testing, deployment, monitoring, and ongoing performance evaluation. Maintain confidentiality of information processed & follow company policies and procedures. Qualifications Requires six (6) or more years of professional data engineering, data operations, data platform operations, or related experience. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent professional experience preferred. Experience leading teams and developing supervisory staff preferred. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Other qualifications include: Advanced T-SQL development skills, including: Set-based rewriting of row-by-row and cursor-based logic. MERGE, upsert, and slowly changing dimension load patterns. Window functions and complex analytic queries. Execution plan analysis, index strategy, statistics management, and resolution of performance issues such as parameter sniffing. Transaction management and structured error handling within stored procedures, including correct rollback behavior on partial failure. Demonstrated proficiency in Python for data engineering applications, including API-based data acquisition, file parsing and format handling, data validation, and the development of packaged, scheduled jobs. Familiarity with common data libraries such as requests and pandas is expected. Demonstrated experience acquiring and integrating data from heterogeneous sources, including delimited, fixed-width, JSON, and XML file formats; REST APIs requiring authentication, pagination, and rate-limit handling; and direct database connectivity. Proficiency with Git and collaborative development workflows, including branching, pull requests, and code review. A code-first development approach, with integration logic authored and maintained in T-SQL and Python under source control. Ability to analyze pipeline and query performance and to improve the reliability, scalability, and cost efficiency of data workloads. Strong written communication skills, with the ability to produce runbooks, technical documentation, and incident reports, and to convey the business impact of technical issues to non-technical stakeholders. Strong problem-solving skills, attention to detail, and demonstrated ownership of production systems. Experience with Microsoft Azure data services such as Azure Data Factory or Microsoft Fabric, or comparable cloud orchestration platforms. Experience migrating on-premises SQL Server integration workloads to a cloud platform. Experience with dimensional modeling and data warehouse design. Experience designing and rationalizing SQL Server Agent job dependencies and scheduling. Experience establishing version control, code review, and repeatable deployment practices for database code. Experience implementing CI/CD pipelines for database projects. Experience handling protected health information under HIPAA, or comparably regulated data under an equivalent framework preferred. Experience with healthcare or pharmacy data, including claims, eligibility, prescription, or delivery data preferred. Familiarity with data governance, metadata management, and data lineage practices. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. (The phrases "occasionally," "regularly," and "frequently" correspond to the following definitions: "Occasionally" means up to 1/3 of working time, "regularly" means between 1/3 and 2/3 of working time, and "frequently" means 2/3 and more working time.) While performing the duties of this job, the employee is frequently required to sit; talk or hear; and use hands to handle, or touch objects or controls. The employee is regularly required to stand and walk. On occasion the incumbent may be required to stoop, bend or reach above the shoulders. The employee would rarely need to lift up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. Work Environment The position is a hybrid position with 2 - 3 days office presence in Milwaukee, WI required. The colleague may perform work-related travel on rare occasions (less than 10%) with an emphasis on travel for impact. . click apply for full job details

Job Description Job Description HHAeXchange is the leading technology platform for home and community-based care. Founded in 2008, HHAeXchange was born out of an idea to create a fully comprehensive end-to-end homecare solution to help people who are aging or have disabilities thrive in their homes and communities. Our employees are passionate about transforming the healthcare space by building the only homecare ecosystem that fully connects patients, personal care providers, managed care organizations, and states. As a Revenue Cycle Solutions Analyst, you will focus on the implementation, ongoing maintenance, and optimization of home care-focused revenue cycle solutions, with an emphasis on payer integrations and billing configuration. You will support payer onboarding and implementation activities by researching and analyzing payer business and technical requirements, reviewing payer specifications and companion guides, and translating requirements into scalable system configurations. Responsibilities include configuring and maintaining payer-specific billing rules, claim submission requirements, enrollment requirements, reimbursement workflows, and system integrations; researching and troubleshooting issues; and identifying and implementing best-fit solutions. You will execute configuration changes, testing, validation, documentation, and refinement to enable accurate and seamless data exchange between providers, payers, HHAeXchange, and partner organizations. The role requires collaboration across implementation, product, engineering, operations, and client-facing teams and provides an opportunity to deepen expertise in Medicaid/MCO revenue cycle processes, healthcare claims workflows, healthcare data standards (X12, HL7, FHIR), EDI transactions, and systems integration. To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily with or without reasonable accommodation. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This position is open to candidates located within the New York City, Minneapolis, and Miami metro areas only. Essential Job Duties Partner with Business Analysts and cross-functional teams to gather, analyze, validate, and document customer, payer, business, and technical requirements for new implementations and ongoing revenue cycle integrations and configurations. Manage payer integration and configuration delivery efforts from requirements gathering through testing and production readiness to ensure high-quality delivery of home care revenue cycle solutions. Analyze payer specifications, companion guides, business requirements, and implementation documentation and translate requirements into scalable system configurations and integration solutions. Configure and maintain payer-specific billing requirements, including billing rules, claim submission logic and requirements, enrollment requirements, reimbursement workflows, and related system configurations. Analyze and troubleshoot reported integration, configuration, enrollment, and claim submission issues; perform root cause analysis; and propose and implement corrective actions. Partner with Implementation, Product, Engineering, Operations, and client-facing teams to identify workflow gaps, resolve cross-functional dependencies, and support successful payer onboarding and implementation. Assist Senior Solution Analysts with complex business and technical requirements to identify and implement best-fit solutions. Execute testing, validation, and quality assurance of new and existing configurations and integrations to ensure accuracy, alignment with customer and payer requirements, and applicable compliance standards. Support payer onboarding, implementation, production readiness, enhancement requests, and ongoing optimization of existing payer integrations and billing configurations. Monitor and maintain existing configurations and integrations to support continued performance, accuracy, and compliance, and identify opportunities for optimization and continuous improvement. Contribute to the development and enhancement of internal documentation, tools, process standards, training materials, and best practices to support consistent and scalable solution delivery. Create and maintain required documentation for new and existing integrations and configurations, including documented requirements, configuration decisions, testing outcomes, and operational processes. Facilitate knowledge transfer and develop supporting documentation to enable smooth transition to post-implementation and production support teams. Serve as a knowledgeable resource during payer onboarding and integration discussions by helping bridge technical, operational, payer, and customer requirements. Adhere to established SLAs and delivery standards while maintaining solution quality, minimizing rework, and supporting timely resolution of issues. Other Job Duties Other duties as assigned by supervisor or HHAeXchange leader Travel Requirements Travel up to 10%, including overnight travel Required Education, Experience, Certifications and Skills 4+ years of experience in healthcare solution delivery, revenue cycle configuration, healthcare data integration, claims processing, payer operations, healthcare technology, or healthcare software implementation. Experience gathering, analyzing, validating, and documenting business and technical requirements and translating requirements into configuration or integration solutions. Experience working within configuration-driven software platforms and managing multiple implementation, configuration, or integration activities simultaneously while delivering quality solutions that meet customer expectations. Experience troubleshooting complex issues and performing data and root cause analysis to identify risks, configuration gaps, and corrective actions. Familiarity with home care operations, Medicaid/MCO billing, healthcare claims workflows, payer requirements, and revenue cycle processes. Knowledge of healthcare data standards and EDI transactions, including X12 and transactions such as 837, 835, 270/271, and 276/277; familiarity with HL7 and FHIR. Knowledge of healthcare integration methods and protocols, including sFTP and API. Ability to review and interpret payer specifications, companion guides, implementation requirements, and other technical or operational documentation. Ability to learn quickly, prioritize effectively, manage multiple responsibilities, and collaborate across Implementation, Product, Engineering, Operations, and client-facing teams. Strong attention to detail, analytical thinking, problem-solving, and organizational skills. Proven written and verbal communication skills, including the ability to clearly communicate technical and operational information to varied audiences. Ability to lead and influence discussions, respectfully challenge assumptions, ask effective discovery questions, and support decisions based on validated requirements and documented information. Experience with ticket, project, and content management applications such as JIRA, Salesforce, Confluence, and SharePoint. Exposure to State Medicaid Agencies, Managed Care Organizations (MCOs), home care providers, clearinghouses, or other healthcare payer organizations is a plus. Healthcare SaaS environment experience is a plus. The base salary range for this US-based, full-time, and exempt position is $70,000 - $80,000 not including variable compensation. An employee's exact starting salary will be based on various factors including but not limited to experience, education, training, merit, location, and the ability to exemplify the HHAeXchange core values. This is a benefits-eligible position. HHAeXchange offers competitive health plans, paid time-off, company paid holidays, 401K retirement program with a Company elected match, including other company sponsored programs. HHAeXchange is an equal-opportunity employer. The Company offers employment opportunities to all applicants and employees without regard to race, color, religion, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, marital status, veteran status, citizenship, genetic information, hairstyles, or any other status protected by local or federal law. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. 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