Vytalize Health

Design and build full-stack applications with React and Python/FastAPI to enable clinical data visualization, develop data models and APIs, and ensure code quality and data reliability. | 3-5 years professional experience with React, Python, SQL, testing frameworks, and AI coding assistants. | Description of the Role As a Full Stack Engineer on Data Services, you will design, build, and maintain full-stack applications and services that enable clinicians and healthcare operations teams to access, visualize, and act on clinical data. Working across the entire stack — from React user interfaces through Python/FastAPI backends to the data models and pipelines that power them — you will take features from concept through production while maintaining high standards for code quality, data reliability, and user experience. You will partner closely with data engineers, platform engineers, product, and clinical stakeholders to deliver features that matter. Your work will span frontend development (responsive, accessible UIs), API design and backend services, data modeling and transformations, comprehensive testing and QA, and end-to-end troubleshooting across the stack. You will be metrics-driven — defining success criteria, measuring impact, and iterating based on data. You will use AI-assisted development tools (Claude Code, GitHub Copilot, and similar) as a core part of your workflow to accelerate delivery while maintaining code quality and understanding. You will be part of a small, high-performing engineering team where engineers collaborate on architecture, code review, and continuous learning. Primary Responsibilities Design and build full-stack features spanning React frontends, Python/FastAPI backends, and supporting data models and transformations Develop and maintain data models and transformation pipelines (dbt preferred) that feed application and analytics layers; ensure data flowing into applications is well-modeled, tested, and reliable Design and implement REST APIs serving clinical data, quality metrics, care gaps, and decision support content to internal applications and external partners Implement API contracts, versioning strategies, authentication/authorization patterns (OAuth/OIDC), and rate limiting for compliant clinical data access Build responsive, accessible React user interfaces with modern component patterns; collaborate with product and clinical teams to translate requirements into intuitive UIs Design and implement comprehensive testing strategies — unit tests, integration tests, end-to-end tests, and data validation tests — to ensure reliability across the stack Conduct and support QA activities including test planning, test case design, manual testing, and establishing testing standards; work closely with QA engineers and clinical testers to validate functionality and user experience Write clean, tested, maintainable code across the stack; participate actively in code review and help raise code quality standards Use AI-assisted development tools (Claude Code, GitHub Copilot, Cursor, or similar) deliberately and effectively — leveraging them for scaffolding, refactoring, test generation, and documentation while maintaining code quality and understanding Define and measure success metrics for features — including usage, adoption, clinical workflow impact, and data quality — to drive iterative improvements and prioritization Partner with product and data teams to establish KPIs and dashboards that measure feature impact on clinician workflows, care coordination, and operational efficiency Troubleshoot and resolve issues across the full stack — from UI bugs to API failures to data pipeline problems; trace issues end-to-end and implement durable fixes Collaborate with data engineering to ensure API data contracts are well-defined and upstream data models support application needs Participate in architecture and design discussions including API design, authentication patterns, data contract definition, and system reliability Raise data quality or data modeling concerns early in the development process rather than letting them surface downstream Contribute to technical documentation including API specifications, data dictionaries, runbooks, and architectural decisions Support production systems through on-call rotations, incident response, and post-incident improvements Mentor junior engineers and contribute to team process improvement and knowledge sharing Required Qualifications 3–5 years of professional software engineering experience, with demonstrated full-stack development capability Strong React proficiency with modern JavaScript (ES6+); comfortable building responsive, component-based, accessible user interfaces Strong Python skills with hands-on experience building REST APIs using FastAPI, Flask, Django, or comparable frameworks Experience implementing authentication and authorization patterns such as OAuth 2.0 / OIDC or similar Demonstrated experience designing data models, writing SQL, and building data transformation logic; understanding of normalization, dimensional modeling, or similar concepts Proven experience with testing frameworks and writing comprehensive tests (unit, integration, end-to-end); understanding of test coverage and QA best practices Experience defining, measuring, and acting on metrics and KPIs — understanding how to translate business requirements into measurable success criteria and iterate based on data Proven experience using AI coding assistants (Claude Code, GitHub Copilot, Cursor, ChatGPT) to improve development speed and quality — able to speak to how you use these tools effectively, not just that you have access Experience with version control (Git) and collaborative development workflows (pull requests, code review, CI/CD) Strong communication skills and ability to work cross-functionally with data, product, clinical, and engineering teams Comfortable working in ambiguous environments with evolving healthcare requirements; strong problem-solving and debugging skills Strong Pluses Experience working with dedicated QA engineers or as a QA engineer; familiarity with QA methodologies, test case design, and testing in regulated environments Background in data-driven product development with experience defining and tracking OKRs, KPIs, or similar outcome metrics Experience with observability and monitoring tools (DataDog, CloudWatch, or similar); ability to define and track application health and performance metrics Experience with A/B testing, feature flags, or experimentation frameworks Experience with dbt for data transformation and testing; familiarity with medallion architecture (Bronze/Silver/Gold) Experience working with healthcare data and interoperability standards — familiarity with FHIR, HL7, claims data, EHR integrations, value-based care metrics, or care gap/attribution concepts Experience with cloud data platforms (Databricks, AWS, Snowflake) Familiarity with CI/CD pipelines, infrastructure-as-code, and containerization (Docker) Experience designing and consuming APIs; familiarity with API documentation standards (OpenAPI/Swagger) Background in healthcare, pharmaceutical, or other regulated industry with experience handling sensitive data Experience building and operating data quality validation and monitoring Exposure to healthcare compliance requirements (HIPAA, PHI/PII handling, audit logging) Familiarity with React testing libraries and frontend testing practices Previous experience on small, high-performing engineering teams in startup or high-growth environments This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee. Other duties, responsibilities, and activities may change or be assigned at any time with or without notice.

Design and build full-stack applications and services including frontend, backend, data modeling, and testing. | 3-5 years full-stack experience with React, Python/FastAPI, API design, testing, and strong communication skills. | Description Of The Role As a Full Stack Engineer on Data Services, you will design, build, and maintain full-stack applications and services that enable clinicians and healthcare operations teams to access, visualize, and act on clinical data. Working across the entire stack — from React user interfaces through Python/FastAPI backends to the data models and pipelines that power them — you will take features from concept through production while maintaining high standards for code quality, data reliability, and user experience. You will partner closely with data engineers, platform engineers, product, and clinical stakeholders to deliver features that matter. Your work will span frontend development (responsive, accessible UIs), API design and backend services, data modeling and transformations, comprehensive testing and QA, and end-to-end troubleshooting across the stack. You will be metrics-driven — defining success criteria, measuring impact, and iterating based on data. You will use AI-assisted development tools (Claude Code, GitHub Copilot, and similar) as a core part of your workflow to accelerate delivery while maintaining code quality and understanding. You will be part of a small, high-performing engineering team where engineers collaborate on architecture, code review, and continuous learning. Primary Responsibilities • Design and build full-stack features spanning React frontends, Python/FastAPI backends, and supporting data models and transformations • Develop and maintain data models and transformation pipelines (dbt preferred) that feed application and analytics layers; ensure data flowing into applications is well-modeled, tested, and reliable • Design and implement REST APIs serving clinical data, quality metrics, care gaps, and decision support content to internal applications and external partners • Implement API contracts, versioning strategies, authentication/authorization patterns (OAuth/OIDC), and rate limiting for compliant clinical data access • Build responsive, accessible React user interfaces with modern component patterns; collaborate with product and clinical teams to translate requirements into intuitive UIs • Design and implement comprehensive testing strategies — unit tests, integration tests, end-to-end tests, and data validation tests — to ensure reliability across the stack • Conduct and support QA activities including test planning, test case design, manual testing, and establishing testing standards; work closely with QA engineers and clinical testers to validate functionality and user experience • Write clean, tested, maintainable code across the stack; participate actively in code review and help raise code quality standards • Use AI-assisted development tools (Claude Code, GitHub Copilot, Cursor, or similar) deliberately and effectively — leveraging them for scaffolding, refactoring, test generation, and documentation while maintaining code quality and understanding • Define and measure success metrics for features — including usage, adoption, clinical workflow impact, and data quality — to drive iterative improvements and prioritization • Partner with product and data teams to establish KPIs and dashboards that measure feature impact on clinician workflows, care coordination, and operational efficiency • Troubleshoot and resolve issues across the full stack — from UI bugs to API failures to data pipeline problems; trace issues end-to-end and implement durable fixes • Collaborate with data engineering to ensure API data contracts are well-defined and upstream data models support application needs • Participate in architecture and design discussions including API design, authentication patterns, data contract definition, and system reliability • Raise data quality or data modeling concerns early in the development process rather than letting them surface downstream • Contribute to technical documentation including API specifications, data dictionaries, runbooks, and architectural decisions • Support production systems through on-call rotations, incident response, and post-incident improvements • Mentor junior engineers and contribute to team process improvement and knowledge sharing Required Qualifications • 3–5 years of professional software engineering experience, with demonstrated full-stack development capability • Strong React proficiency with modern JavaScript (ES6+); comfortable building responsive, component-based, accessible user interfaces • Strong Python skills with hands-on experience building REST APIs using FastAPI, Flask, Django, or comparable frameworks • Experience implementing authentication and authorization patterns such as OAuth 2.0 / OIDC or similar • Demonstrated experience designing data models, writing SQL, and building data transformation logic; understanding of normalization, dimensional modeling, or similar concepts • Proven experience with testing frameworks and writing comprehensive tests (unit, integration, end-to-end); understanding of test coverage and QA best practices • Experience defining, measuring, and acting on metrics and KPIs — understanding how to translate business requirements into measurable success criteria and iterate based on data • Proven experience using AI coding assistants (Claude Code, GitHub Copilot, Cursor, ChatGPT) to improve development speed and quality — able to speak to how you use these tools effectively, not just that you have access • Experience with version control (Git) and collaborative development workflows (pull requests, code review, CI/CD) • Strong communication skills and ability to work cross-functionally with data, product, clinical, and engineering teams • Comfortable working in ambiguous environments with evolving healthcare requirements; strong problem-solving and debugging skills Strong Pluses • Experience working with dedicated QA engineers or as a QA engineer; familiarity with QA methodologies, test case design, and testing in regulated environments • Background in data-driven product development with experience defining and tracking OKRs, KPIs, or similar outcome metrics • Experience with observability and monitoring tools (DataDog, CloudWatch, or similar); ability to define and track application health and performance metrics • Experience with A/B testing, feature flags, or experimentation frameworks • Experience with dbt for data transformation and testing; familiarity with medallion architecture (Bronze/Silver/Gold) • Experience working with healthcare data and interoperability standards — familiarity with FHIR, HL7, claims data, EHR integrations, value-based care metrics, or care gap/attribution concepts • Experience with cloud data platforms (Databricks, AWS, Snowflake) • Familiarity with CI/CD pipelines, infrastructure-as-code, and containerization (Docker) • Experience designing and consuming APIs; familiarity with API documentation standards (OpenAPI/Swagger) • Background in healthcare, pharmaceutical, or other regulated industry with experience handling sensitive data • Experience building and operating data quality validation and monitoring • Exposure to healthcare compliance requirements (HIPAA, PHI/PII handling, audit logging) • Familiarity with React testing libraries and frontend testing practices • Previous experience on small, high-performing engineering teams in startup or high-growth environments This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee. Other duties, responsibilities, and activities may change or be assigned at any time with or without notice.

Lead the development and maintenance of clinical and claims data integration solutions, ensuring interoperability, data quality, regulatory compliance, and stakeholder engagement. | 3+ years product management in healthcare data, experience with claims and clinical data, API integrations, Agile experience, knowledge of value-based care, and familiarity with FHIR and HL7 standards. | Your Opportunity As a Product Manager, Clinical Data Acquisition & EMR Integrations at Vytalize Health, you'll be a vital part of the Product Management team, focusing on the strategic development of data integration solutions for claims and clinical data. Your role revolves around understanding the ACO's objectives, regulatory requirements, and the significance of real-time clinical and claims data, ensuring seamless data flow from and to various sources. What You Will Do Requirements Gathering: Understand the ACO's objectives, regulatory requirements, and the importance of real-time clinical and claims data. Create requirements, data maps, user stories, and acceptance criteria. Product Roadmap: Develop and maintain a product roadmap for data integration, outlining planned enhancements, features, and updates to meet evolving stakeholder needs. Data Integration: Lead efforts to design, build, and maintain data integration solutions that facilitate the seamless flow of data from various sources, including clinical practices, payers, and other healthcare entities. Ensure data accuracy, consistency, and up-to-dateness. Interoperability: Work on establishing interoperability standards and protocols that enable effective data exchange between different healthcare systems, electronic health records (EHRs), payers, and practices. Ensure that data can be shared in a structured, standardized format. Stakeholder Engagement: Collaborate with internal stakeholders, clinical practices, payers, and other healthcare partners to understand their data sharing needs and facilitate onboarding. Establish and maintain positive relationships with stakeholders. Data Quality Assurance: Help implement data quality assurance processes to identify and address data inconsistencies, errors, and missing information. Ensure that the integrated data is accurate and reliable for decision-making. Regulatory Compliance: Stay updated on healthcare data regulations, including HIPAA, and ensure that data integration processes comply with privacy and security requirements. Understand and adhere to CMS regulations when dealing with claims data. Real-Time Data Updates: Help lead the implementation mechanisms for continuous data updates from practices, ensuring that clinical data is as up-to-date as possible. This is especially important for real-time decision support and quality improvement initiatives. Analytics Integration: Collaborate with data analytics teams to ensure that the integrated data is accessible for advanced analytics, reporting, and quality measurement. Support the use of data for performance evaluation and quality improvement. Performance Monitoring: Establish monitoring and reporting mechanisms to track the performance of data integration solutions. Measure the efficiency and effectiveness of data sharing and data utilization. Vendor and Partner Relationships: Collaborate with technology vendors, third-party data providers, and other partners to leverage external expertise and ensure seamless data exchange. Reporting and Communication: Regularly report to senior management, stakeholders, and partners on the performance and outcomes of data integration initiatives. What Will Make You Successful Here Bachelor's degree or equivalent experience. 3+ years of Product Management experience in healthcare data; Agile experience preferred. 2+ years of Value-based care experience preferred. Experience with claims and clinical data. Experience with API integrations Strong understanding of healthcare data, claims, and clinical data. Agile methodology experience. Knowledge of Value-based care. Knowledge of data integrations, data mapping, EMR integrations Excellent communication and stakeholder management skills. Analytical and problem-solving skills. Deep understanding of FHIR, HL7 Messaging Ability to optimize costs and resource allocation. Comfortable in a dynamic, evolving healthcare environment. Proven ability to evaluate and implement state-of-the-art technologies. Results-oriented with a focus on performance and outcomes. Perks/Benefits Competitive base compensation. Annual bonus potential. Health benefits effective on start date; 100% coverage for base plan, up to 90% coverage on all other plans for individuals and families. Health & Wellness Program: up to $300 per quarter for your overall well-being, available on start date. 401(k) plan effective the first of the month after your start date; 100% match of up to 4% of your annual salary. Unlimited (or generous) paid “Vytal Time,” and 5 paid sick days after your first 90 days. Company-paid STD/LTD. Technology setup. Opportunity to help build a market leader in value-based healthcare at a rapidly growing organization. Please Note: At no time during our screening, interview, or selection process do we ask for additional personal information (beyond your résumé) or account/financial information. We will also never ask you to purchase anything, nor will we ever interview you via text message. Any communication received from a Vytalize Health recruiter during your screening, interviewing, or selection process will come from an email ending in @vytalizehealth.com.

Design, build, and maintain data pipelines and systems to meet business needs while collaborating with cross-functional teams. Implement scalable data storage and processing systems capable of handling large datasets and ensure data quality. | Bachelor's degree in Computer Science or related field with 5+ years of experience in data engineering. Strong healthcare experience and proficiency in technologies such as Databricks, Snowflake, and Python are required. | Your opportunity As a Senior Data & Software Engineer you will help design, build, and maintain the data pipelines and products that enable Vytalize Health to “Care for the Doctors that Take Care of Us”. Working cross functionally, your solutions will drive better patient outcomes, that help reduce total cost of care, and enable Vytalize Health to scale into the future as we expand our reach to more practices and patients. Additionally, you will be part of a small and powerful group of high performing healthcare data and software engineers, where you will support each other's professional growth through mentorship and tight collaboration. What You Will Do Design, build, and maintain data pipelines and systems to meet business needs Collaborate with cross-functional teams to understand data requirements and ensure data quality Implement scalable data storage and processing systems capable of handling large datasets Develop and maintain data pipelines and systems for ingesting data from various sources and ensuring proper data formatting for analysis Create and maintain data models, dictionaries, and metadata Document new and existing data systems, designs, processes, and procedures Implement data quality control processes to validate and clean data prior to analysis Design and implement security measures to protect sensitive data and ensure data privacy Optimize data systems for performance and scalability to support organizational growth Stay updated with the latest tools and technologies in data engineering to meet the organization's evolving data requirements Work collaboratively with other engineers in an Agile environment. Trace, debug, and correct data anomalies in data pipelines and products. Work on-call 3-9% of the year, one week at a time, to support production failures and emergent business needs. Mentor and learn from colleagues and peers through regular participation in “Lunch & Learns”, pair/mob programming/design, and formal mentorship relationships. What will make you successful here Bachelor's degree in Computer Science, Information Systems, or a related field 5+ years of experience in data engineering or a related field. 2+ years of experience as a data or software engineer in the VBC or healthcare space. Strong healthcare experience working with, ingesting, and delivering a variety of healthcare data formats such as CCDAs, 837s, FHIR APIs, CDS Hooks, and other HL7 data types/implementation patterns. Strong understanding of data lake, data warehousing, data modeling, and SQL Experience with technologies such as Databricks, Snowflake, and Kafka Proficiency in Python and SQL Familiarity with orchestration tools such as Airflow Knowledge of cloud computing platforms such as AWS Experience developing systems that feed into observability and telemetry platforms such as CloudWatch, Sumo Logic, or Datadog Experience building and using APIs Strong problem-solving and analytical skills Excellent written and verbal communication skills Experience with the follow systems, technologies, and topics are a significant plus: Tuva Epic, NextGen, Athena, ECW EHR Integrations Clinical Decision Support Tools and Workflows Clinical and Claims ingestion Value Based Healthcare and Accountable Care Organizations Working within a start-up Perks/Benefits Competitive base compensation Annual bonus potential Health benefits effective on start date; 100% coverage for base plan, up to 90% coverage on all other plans for individuals and families Health & Wellness Program; up to $300 per quarter for your overall well-being available on start date 401K plan effective on the first of the month after your start date; 100% of up to 4% of your annual salary Unlimited (or generous) paid "Vytal Time", and 5 paid sick days after your first 90 days Company paid STD/LTD Technology setup Ability to help build a market leader in value-based healthcare at a rapidly growing organization Please note at no time during our screening, interview, or selection process do we ask for additional personal information (beyond your resume) or account/financial information. We will also never ask for you to purchase anything; nor will we ever interview you via text message. Any communication received from a Vytalize Health recruiter during your screening, interviewing, or selection process will come from an email ending in @vytalizehealth.com

Design, build, and maintain scalable data pipelines and systems for healthcare data, ensuring data quality, security, and performance, while collaborating cross-functionally and mentoring peers. | 5+ years data engineering experience, 2+ years in healthcare data engineering, proficiency with healthcare data formats (CCDAs, FHIR, HL7), SQL, Python, cloud platforms, and data orchestration tools. | Your opportunity As a Senior Data & Software Engineer you will help design, build, and maintain the data pipelines and products that enable Vytalize Health to “Care for the Doctors that Take Care of Us”. Working cross functionally, your solutions will drive better patient outcomes, that help reduce total cost of care, and enable Vytalize Health to scale into the future as we expand our reach to more practices and patients. Additionally, you will be part of a small and powerful group of high performing healthcare data and software engineers, where you will support each other's professional growth through mentorship and tight collaboration. What You Will Do • Design, build, and maintain data pipelines and systems to meet business needs • Collaborate with cross-functional teams to understand data requirements and ensure data quality • Implement scalable data storage and processing systems capable of handling large datasets • Develop and maintain data pipelines and systems for ingesting data from various sources and ensuring proper data formatting for analysis • Create and maintain data models, dictionaries, and metadata • Document new and existing data systems, designs, processes, and procedures • Implement data quality control processes to validate and clean data prior to analysis • Design and implement security measures to protect sensitive data and ensure data privacy • Optimize data systems for performance and scalability to support organizational growth • Stay updated with the latest tools and technologies in data engineering to meet the organization's evolving data requirements • Work collaboratively with other engineers in an Agile environment. • Trace, debug, and correct data anomalies in data pipelines and products. • Work on-call 3-9% of the year, one week at a time, to support production failures and emergent business needs. • Mentor and learn from colleagues and peers through regular participation in “Lunch & Learns”, pair/mob programming/design, and formal mentorship relationships. What will make you successful here • Bachelor's degree in Computer Science, Information Systems, or a related field • 5+ years of experience in data engineering or a related field. • 2+ years of experience as a data or software engineer in the VBC or healthcare space. • Strong healthcare experience working with, ingesting, and delivering a variety of healthcare data formats such as CCDAs, 837s, FHIR APIs, CDS Hooks, and other HL7 data types/implementation patterns. • Strong understanding of data lake, data warehousing, data modeling, and SQL • Experience with technologies such as Databricks, Snowflake, and Kafka Proficiency in Python and SQL Familiarity with orchestration tools such as Airflow • Knowledge of cloud computing platforms such as AWS • Experience developing systems that feed into observability and telemetry platforms such as CloudWatch, Sumo Logic, or Datadog • Experience building and using APIs • Strong problem-solving and analytical skills • Excellent written and verbal communication skills Experience with the follow systems, technologies, and topics are a significant plus: • Tuva • Epic, NextGen, Athena, ECW EHR Integrations • Clinical Decision Support Tools and Workflows • Clinical and Claims ingestion • Value Based Healthcare and Accountable Care Organizations • Working within a start-up Perks/Benefits • Competitive base compensation • Annual bonus potential • Health benefits effective on start date; 100% coverage for base plan, up to 90% coverage on all other plans for individuals and families • Health & Wellness Program; up to $300 per quarter for your overall well-being available on start date • 401K plan effective on the first of the month after your start date; 100% of up to 4% of your annual salary • Unlimited (or generous) paid "Vytal Time", and 5 paid sick days after your first 90 days • Company paid STD/LTD • Technology setup • Ability to help build a market leader in value-based healthcare at a rapidly growing organization Please note at no time during our screening, interview, or selection process do we ask for additional personal information (beyond your resume) or account/financial information. We will also never ask for you to purchase anything; nor will we ever interview you via text message. Any communication received from a Vytalize Health recruiter during your screening, interviewing, or selection process will come from an email ending in @vytalizehealth.com