Experity

You would modernize desktop and web applications for medical imaging workflows, contribute to Java services and AWS infrastructure, and improve platform reliability alongside cross-functional teams. | The role requires at least six years of software engineering experience, strong C#/.NET and Windows desktop skills, and experience with Java services, modern web frameworks, SQL, and AWS. | Experity is a mission-driven team transforming on-demand healthcare across the U.S., empowering urgent care clinics with industry-leading software that makes care faster, easier, and more patient-focused. Joining us means doing meaningful work that directly improves the healthcare experience for millions—from helping families access care quickly to ensuring clinics run smoothly behind the scenes. If you want to make a real impact alongside innovative, dedicated teammates while contributing to a trusted platform that’s becoming the operating system for on-demand care, Experity is the place to grow your career. Experity offers the following: Benefits – Comprehensive coverage starts first day of employment and includes Medical, Dental/Orthodontia, and Vision. Ownership - All Team Members are eligible for synthetic ownership in Experity upon one year of employment with real financial rewards when the company is successful! Employee Assistance Program - This robust program includes counseling, legal resolution, financial education, pet adoption assistance, identity theft and fraud resolution, and so much more. Flexibility – Experity is committed to helping team members face the demands of juggling work, family and life-related issues by offering flexible work scheduling to manage your work-life balance. Paid Time Off (PTO) - Experity offers a generous PTO plan and increases with milestones to ensure our Team Members have time to recharge, relax, and spend time with loved ones. Career Development – Experity maintains a learning program foundation for the company that allows Team Members to explore their potential and achieve their career goals. Team Building – We bring our Team Members together when we can to strengthen the team, build relationships, and have fun! We even have a family company picnic and a holiday party. Total Compensation - Competitive pay, quarterly bonuses and a 401(k) retirement plan with an employer match to help you save for your future and ensure that you can retire with financial security. Compensation: Budgeted between $107,750 and $120,000 dependent upon applicable experience. Remote: Experity offers Team Members the opportunity to work remotely or in an office. Experity is seeking a Senior Software Engineer to help design, build, modernize, and support the OnePACS medical imaging platform. This role will have a primary focus on our C# desktop medical image viewer while also contributing across Java services, PostgreSQL, React applications, REST APIs, and AWS-hosted infrastructure. This is a hands-on engineering role for someone who brings strong technical judgment, takes ownership of meaningful product areas, and consistently improves the quality, reliability, maintainability, and supportability of the platform. The Senior Software Engineer will work closely with the Staff Engineer, Product, QA, DevOps, Support, and other engineering partners. Success is measured not only by completed work, but by whether the codebase, platform, and engineering practice are stronger because of the engineer’s contribution. Responsibilities: Design, develop, maintain, and modernize desktop and web applications used in medical imaging workflows. Serve as a primary contributor to the C# desktop viewer while contributing across supporting Java services, PostgreSQL, React applications, REST APIs, and AWS infrastructure. Deliver complete solutions from technical design through implementation, automated testing, release, production validation, and ongoing support. Write clean, secure, efficient, testable, and maintainable code using sound engineering practices. Partner with the Staff Engineer on architecture, modernization, technical standards, and complex design decisions. Diagnose and resolve complex issues across application code, APIs, logs, data, cloud services, configuration, and customer workflows. Improve observability, diagnostics, automated testing, documentation, and runbooks to make the platform easier to operate and support. Identify and address technical debt, recurring defects, performance concerns, and reliability risks. Use AI coding assistants responsibly and effectively for implementation, debugging, refactoring, testing, documentation, and legacy code analysis. Participate in code reviews, technical design discussions, mentoring, pairing, and knowledge sharing. Collaborate with Product, QA, DevOps, Support, and other stakeholders to clarify requirements and deliver practical technical solutions. Work within Agile and Scrum practices while maintaining accountability for quality, predictability, and continuous improvement. Consistently leave the codebase, platform, documentation, and team practices better than they were before. Other duties as assigned. Education: Bachelor's degree in Computer Science, Software Engineering, or related field of equivalent combination of education and experience. What You’ll Bring: Six or more years of professional software engineering experience. Strong hands-on experience developing and supporting production applications using C# and .NET. Experience building and maintaining Windows desktop applications. Experience working with Java services, Spring Boot or comparable frameworks, and REST APIs. Experience developing modern web applications using TypeScript, JavaScript, React, or comparable frameworks. Strong SQL skills and practical experience working with PostgreSQL, including data investigation, query analysis, indexing, and application performance troubleshooting. Hands-on experience working in AWS-hosted environments, including cloud configuration, deployment, observability, security, and production diagnostics. Experience with distributed systems, object-oriented design, software design patterns, automated testing, and maintainable coding standards. Experience troubleshooting production systems across application code, logs, data, infrastructure, configuration, and integrations. Hands-on experience using AI coding assistants such as Claude Code, GitHub Copilot, OpenAI Codex, Kiro, Cline, or comparable tools. Mature judgment regarding the value, limitations, security, quality, and responsible use of AI-assisted software development. Experience with code reviews, source control, CI/CD pipelines, established release processes, and Agile or Scrum delivery. Ability to communicate technical risks, tradeoffs, and recommendations clearly to technical and non-technical stakeholders. Experience mentoring engineers and influencing technical decisions without relying on formal authority. Industry and Domain Experience: Experience with several of the following is strongly preferred: Medical imaging, PACS, radiology, teleradiology, diagnostic imaging, or healthcare interoperability platforms DICOM, HL7, medical image routing, storage, retrieval, viewing, or related clinical workflows Viewer technologies or frameworks such as ClearCanvas, Cornerstone, OHIF, or comparable imaging solutions FDA-regulated software, Software as a Medical Device, healthcare compliance, HIPAA, PHI-sensitive environments, or other regulated software domains High-volume, customer-facing platforms requiring strong reliability, performance, security, and operational discipline Technical Experience: Experience with several of the following is preferred: C#, .NET, WPF, or Windows Forms Java, Spring Boot, Hibernate, or JPA TypeScript, JavaScript, and React PostgreSQL and relational database performance REST APIs and distributed application patterns AWS services, Docker, ECS, Kubernetes, Terraform, or comparable cloud and platform tooling CI/CD pipelines, observability, logging, metrics, alerting, and production diagnostics Performance profiling, multithreading, concurrency, memory management, or high-volume data processing Secure software development and production support in regulated environments Leadership Expectations: The Senior Software Engineer will be expected to: Lead through technical credibility, sound judgment, and consistent execution. Remain hands-on and close to implementation details. Take ownership of meaningful product and platform areas. Raise risks early and recommend pragmatic solutions. Improve systems instead of repeatedly working around deficiencies. Partner effectively with the Staff Engineer while independently owning day-to-day technical execution. Mentor engineers and strengthen the technical capability of the team. Improve quality, documentation, diagnostics, testing, and repeatability. Build shared ownership and reduce dependency on individual knowledge. Contribute to a culture of engineering excellence and continuous improvement. Preferred Background: The strongest candidates may come from backgrounds such as: Medical imaging, PACS, radiology, healthcare interoperability, or diagnostic software Complex Windows desktop application development Legacy .NET or Java platform modernization AWS-hosted, high-volume, customer-facing SaaS platforms PostgreSQL-intensive applications FDA-regulated healthcare technology or other regulated software environments Engineering teams with mature use of AI-assisted software development #LI-REMOTE Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Design and modernize the OnePACS medical imaging platform across desktop and web applications, delivering secure, scalable software and improving reliability with cross-functional teams. | Requires at least six years of software engineering experience, strong C#/.NET and modern web-framework skills, a bachelor's degree in computer science or a related field, and experience with AWS-hosted environments and SQL. | Experity is a mission-driven team transforming on-demand healthcare across the U.S., empowering urgent care clinics with industry-leading software that makes care faster, easier, and more patient-focused. Joining us means doing meaningful work that directly improves the healthcare experience for millions—from helping families access care quickly to ensuring clinics run smoothly behind the scenes. If you want to make a real impact alongside innovative, dedicated teammates while contributing to a trusted platform that’s becoming the operating system for on-demand care, Experity is the place to grow your career. Experity offers the following: Benefits – Comprehensive coverage starts first day of employment and includes Medical, Dental/Orthodontia, and Vision. Ownership - All Team Members are eligible for synthetic ownership in Experity upon one year of employment with real financial rewards when the company is successful! Employee Assistance Program - This robust program includes counseling, legal resolution, financial education, pet adoption assistance, identity theft and fraud resolution, and so much more. Flexibility – Experity is committed to helping team members face the demands of juggling work, family and life-related issues by offering flexible work scheduling to manage your work-life balance. Paid Time Off (PTO) - Experity offers a generous PTO plan and increases with milestones to ensure our Team Members have time to recharge, relax, and spend time with loved ones. Career Development – Experity maintains a learning program foundation for the company that allows Team Members to explore their potential and achieve their career goals. Team Building – We bring our Team Members together when we can to strengthen the team, build relationships, and have fun! We even have a family company picnic and a holiday party. Total Compensation - Competitive pay, quarterly bonuses and a 401(k) retirement plan with an employer match to help you save for your future and ensure that you can retire with financial security. Compensation: Budgeted between $107,750 and $120,000 dependent upon applicable experience. Remote: Experity offers Team Members the opportunity to work remotely or in an office. Experity is seeking a Senior Software Engineer to help design, build, modernize, and support the OnePACS medical imaging platform. This role will have a primary focus on our C# desktop medical image viewer while also contributing across Java services, PostgreSQL, React applications, REST APIs, and AWS-hosted infrastructure. This is a hands-on engineering role for someone who brings strong technical judgment, takes ownership of meaningful product areas, and consistently improves the quality, reliability, maintainability, and supportability of the platform. The Senior Software Engineer will work closely with the Staff Engineer, Product, QA, DevOps, Support, and other engineering partners. Success is measured not only by completed work, but by whether the codebase, platform, and engineering practice are stronger because of the engineer’s contribution. Responsibilities: Design, develop, maintain, and modernize desktop and web applications used in medical imaging workflows. Serve as a primary contributor to the C# desktop viewer while contributing across supporting Java services, PostgreSQL, React applications, REST APIs, and AWS infrastructure. Deliver complete solutions from technical design through implementation, automated testing, release, production validation, and ongoing support. Write clean, secure, efficient, testable, and maintainable code using sound engineering practices. Partner with the Staff Engineer on architecture, modernization, technical standards, and complex design decisions. Diagnose and resolve complex issues across application code, APIs, logs, data, cloud services, configuration, and customer workflows. Improve observability, diagnostics, automated testing, documentation, and runbooks to make the platform easier to operate and support. Identify and address technical debt, recurring defects, performance concerns, and reliability risks. Use AI coding assistants responsibly and effectively for implementation, debugging, refactoring, testing, documentation, and legacy code analysis. Participate in code reviews, technical design discussions, mentoring, pairing, and knowledge sharing. Collaborate with Product, QA, DevOps, Support, and other stakeholders to clarify requirements and deliver practical technical solutions. Work within Agile and Scrum practices while maintaining accountability for quality, predictability, and continuous improvement. Consistently leave the codebase, platform, documentation, and team practices better than they were before. Other duties as assigned. Education: Bachelor's degree in Computer Science, Software Engineering, or related field of equivalent combination of education and experience. What You’ll Bring: Six or more years of professional software engineering experience. Strong hands-on experience developing and supporting production applications using C# and .NET. Experience building and maintaining Windows desktop applications. Experience working with Java services, Spring Boot or comparable frameworks, and REST APIs. Experience developing modern web applications using TypeScript, JavaScript, React, or comparable frameworks. Strong SQL skills and practical experience working with PostgreSQL, including data investigation, query analysis, indexing, and application performance troubleshooting. Hands-on experience working in AWS-hosted environments, including cloud configuration, deployment, observability, security, and production diagnostics. Experience with distributed systems, object-oriented design, software design patterns, automated testing, and maintainable coding standards. Experience troubleshooting production systems across application code, logs, data, infrastructure, configuration, and integrations. Hands-on experience using AI coding assistants such as Claude Code, GitHub Copilot, OpenAI Codex, Kiro, Cline, or comparable tools. Mature judgment regarding the value, limitations, security, quality, and responsible use of AI-assisted software development. Experience with code reviews, source control, CI/CD pipelines, established release processes, and Agile or Scrum delivery. Ability to communicate technical risks, tradeoffs, and recommendations clearly to technical and non-technical stakeholders. Experience mentoring engineers and influencing technical decisions without relying on formal authority. Industry and Domain Experience: Experience with several of the following is strongly preferred: Medical imaging, PACS, radiology, teleradiology, diagnostic imaging, or healthcare interoperability platforms DICOM, HL7, medical image routing, storage, retrieval, viewing, or related clinical workflows Viewer technologies or frameworks such as ClearCanvas, Cornerstone, OHIF, or comparable imaging solutions FDA-regulated software, Software as a Medical Device, healthcare compliance, HIPAA, PHI-sensitive environments, or other regulated software domains High-volume, customer-facing platforms requiring strong reliability, performance, security, and operational discipline Technical Experience: Experience with several of the following is preferred: C#, .NET, WPF, or Windows Forms Java, Spring Boot, Hibernate, or JPA TypeScript, JavaScript, and React PostgreSQL and relational database performance REST APIs and distributed application patterns AWS services, Docker, ECS, Kubernetes, Terraform, or comparable cloud and platform tooling CI/CD pipelines, observability, logging, metrics, alerting, and production diagnostics Performance profiling, multithreading, concurrency, memory management, or high-volume data processing Secure software development and production support in regulated environments Leadership Expectations: The Senior Software Engineer will be expected to: Lead through technical credibility, sound judgment, and consistent execution. Remain hands-on and close to implementation details. Take ownership of meaningful product and platform areas. Raise risks early and recommend pragmatic solutions. Improve systems instead of repeatedly working around deficiencies. Partner effectively with the Staff Engineer while independently owning day-to-day technical execution. Mentor engineers and strengthen the technical capability of the team. Improve quality, documentation, diagnostics, testing, and repeatability. Build shared ownership and reduce dependency on individual knowledge. Contribute to a culture of engineering excellence and continuous improvement. Preferred Background: The strongest candidates may come from backgrounds such as: Medical imaging, PACS, radiology, healthcare interoperability, or diagnostic software Complex Windows desktop application development Legacy .NET or Java platform modernization AWS-hosted, high-volume, customer-facing SaaS platforms PostgreSQL-intensive applications FDA-regulated healthcare technology or other regulated software environments Engineering teams with mature use of AI-assisted software development #LI-REMOTE Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Provide technical leadership, influence architecture, mentor engineers, and drive engineering excellence in a remote environment. | 10+ years software engineering experience with leadership across teams, strong communication, and expertise in distributed systems and cloud platforms. | Experity is a mission-driven team transforming on-demand healthcare across the U.S., empowering urgent care clinics with industry-leading software that makes care faster, easier, and more patient-focused. Joining us means doing meaningful work that directly improves the healthcare experience for millions—from helping families access care quickly to ensuring clinics run smoothly behind the scenes. If you want to make a real impact alongside innovative, dedicated teammates while contributing to a trusted platform that’s becoming the operating system for on-demand care, Experity is the place to grow your career. Experity Offers The Following - Benefits – Comprehensive coverage starts first day of employment and includes Medical, Dental/Orthodontia, and Vision. - Ownership - All Team Members are eligible for synthetic ownership in Experity upon one year of employment with real financial rewards when the company is successful! - Employee Assistance Program - This robust program includes counseling, legal resolution, financial education, pet adoption assistance, identity theft and fraud resolution, and so much more. - Flexibility – Experity is committed to helping team members face the demands of juggling work, family and life-related issues by offering flexible work scheduling to manage your work-life balance. - Paid Time Off (PTO) - Experity offers a generous PTO plan and increases with milestones to ensure our Team Members have time to recharge, relax, and spend time with loved ones. - Career Development – Experity maintains a learning program foundation for the company that allows Team Members to explore their potential and achieve their career goals. - Team Building – We bring our Team Members together when we can to strengthen the team, build relationships, and have fun! We even have a family company picnic and a holiday party. - Total Compensation - Competitive pay, quarterly bonuses and a 401(k) retirement plan with an employer match to help you save for your future and ensure that you can retire with financial security. Compensation: Budgeted between $121,400 - $161,500 dependent upon applicable experience. Remote: Team members who live within the U.S. but are not local within a commutable distance from one of our offices may work remotely, with occasional travel to an Experity office for meetings, team collaboration or as needed. Responsibilities Technical Leadership - Provide technical guidance across multiple teams and initiatives. - Influence architectural decisions through collaboration, design reviews, and technical coaching. - Partner with Architecture to establish and evolve technical standards, patterns, and reference implementations. - Help teams navigate complex technical tradeoffs involving scalability, reliability, maintainability, security, and performance. - Facilitate technical alignment across teams without becoming a delivery bottleneck. AI-Enabled Engineering - Lead adoption of AI-assisted engineering practices and workflows. - Evaluate emerging AI development tools and identify opportunities to improve productivity and quality. - Establish best practices for responsible AI-assisted development. - Help engineering teams leverage AI capabilities while maintaining security, compliance, quality, and maintainability standards. - Drive experimentation and learning around agentic workflows and AI-enabled software delivery. Architecture & Platform Evolution - Identify opportunities to reduce technical debt and improve platform sustainability. - Contribute to modernization initiatives across legacy and modern technology stacks. - Improve architectural consistency through reusable patterns and shared services. - Partner with platform and infrastructure teams to improve developer experience and operational effectiveness. - Promote scalable, cloud-native design principles and modern engineering practices. Engineering Excellence - Champion software craftsmanship, code quality, automated testing, observability, and operational excellence. - Participate in architecture reviews, technical design sessions, and solution evaluations. - Drive continuous improvement through metrics, feedback, and engineering best practices. - Help teams improve delivery speed without sacrificing quality. Technical Mentorship - Mentor senior engineers and technical leads. - Help engineers grow their technical depth, decision-making capabilities, and business understanding. - Develop future technical leaders within the organization. - Share knowledge through design reviews, technical presentations, documentation, and coaching. Cross-Functional Collaboration - Partner with Product, Delivery, QA, Architecture, Security, and DevOps teams. - Translate business objectives into technical strategies and actionable plans. - Help identify technical risks early and drive mitigation strategies. - Support strategic initiatives that span multiple teams or domains. - Education - Bachelor's degree in Computer Science, Software Engineering, or related field of equivalent combination of education and experience. Experience - 10+ years of software engineering experience. - Demonstrated experience leading technical initiatives across multiple teams. - Strong experience with distributed systems, APIs, cloud platforms, and modern software architecture. - Experience working within Agile software development environments. - Strong written and verbal communication skills. - Ability to influence technical direction without relying on organizational authority. - Experience mentoring engineers and technical leaders. Preferred - Experience with AI-assisted software development tools and workflows. - Experience with cloud-native architectures and modern platform engineering practices. - Experience modernizing legacy systems. - Experience with healthcare technology, regulated environments, or enterprise SaaS platforms. - Experience with AWS, Azure, Kubernetes, CI/CD, observability platforms, and Infrastructure as Code. Travel - Ability to travel as needed! The Staff Engineer succeeds by making teams better, not by becoming the person who must solve every problem personally. Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Provide technical leadership, influence architecture, drive engineering excellence, and mentor engineers across multiple teams. | 10+ years software engineering experience, leadership across teams, expertise in distributed systems, APIs, cloud platforms, Agile, and strong communication skills. | Experity is a mission-driven team transforming on-demand healthcare across the U.S., empowering urgent care clinics with industry-leading software that makes care faster, easier, and more patient-focused. Joining us means doing meaningful work that directly improves the healthcare experience for millions-from helping families access care quickly to ensuring clinics run smoothly behind the scenes. If you want to make a real impact alongside innovative, dedicated teammates while contributing to a trusted platform that's becoming the operating system for on-demand care, Experity is the place to grow your career. Experity offers the following: - Benefits - Comprehensive coverage starts first day of employment and includes Medical, Dental/Orthodontia, and Vision. - Ownership - All Team Members are eligible for synthetic ownership in Experity upon one year of employment with real financial rewards when the company is successful! - Employee Assistance Program - This robust program includes counseling, legal resolution, financial education, pet adoption assistance, identity theft and fraud resolution, and so much more. - Flexibility- Experity is committed to helping team members face the demands of juggling work, family and life-related issues by offering flexible work scheduling to manage your work-life balance. - Paid Time Off (PTO) - Experity offers a generous PTO plan and increases with milestones to ensure our Team Members have time to recharge, relax, and spend time with loved ones. - Career Development- Experity maintains a learning program foundation for the company that allows Team Members to explore their potential and achieve their career goals. - Team Building -We bring our Team Members together when we can to strengthen the team, build relationships, and have fun! We even have a family company picnic and a holiday party. - Total Compensation - Competitive pay, quarterly bonuses and a 401(k) retirement plan with an employer match to help you save for your future and ensure that you can retire with financial security. Compensation: Budgeted between $121,400 - $161,500 dependent upon applicable experience. Remote: Team members who live within the U.S. but are not local within a commutable distance from one of our offices may work remotely, with occasional travel to an Experity office for meetings, team collaboration or as needed. Responsibilities: Technical Leadership - Provide technical guidance across multiple teams and initiatives. - Influence architectural decisions through collaboration, design reviews, and technical coaching. - Partner with Architecture to establish and evolve technical standards, patterns, and reference implementations. - Help teams navigate complex technical tradeoffs involving scalability, reliability, maintainability, security, and performance. - Facilitate technical alignment across teams without becoming a delivery bottleneck. AI-Enabled Engineering - Lead adoption of AI-assisted engineering practices and workflows. - Evaluate emerging AI development tools and identify opportunities to improve productivity and quality. - Establish best practices for responsible AI-assisted development. - Help engineering teams leverage AI capabilities while maintaining security, compliance, quality, and maintainability standards. - Drive experimentation and learning around agentic workflows and AI-enabled software delivery. Architecture & Platform Evolution - Identify opportunities to reduce technical debt and improve platform sustainability. - Contribute to modernization initiatives across legacy and modern technology stacks. - Improve architectural consistency through reusable patterns and shared services. - Partner with platform and infrastructure teams to improve developer experience and operational effectiveness. - Promote scalable, cloud-native design principles and modern engineering practices. Engineering Excellence - Champion software craftsmanship, code quality, automated testing, observability, and operational excellence. - Participate in architecture reviews, technical design sessions, and solution evaluations. - Drive continuous improvement through metrics, feedback, and engineering best practices. - Help teams improve delivery speed without sacrificing quality. Technical Mentorship - Mentor senior engineers and technical leads. - Help engineers grow their technical depth, decision-making capabilities, and business understanding. - Develop future technical leaders within the organization. - Share knowledge through design reviews, technical presentations, documentation, and coaching. Cross-Functional Collaboration - Partner with Product, Delivery, QA, Architecture, Security, and DevOps teams. - Translate business objectives into technical strategies and actionable plans. - Help identify technical risks early and drive mitigation strategies. - Support strategic initiatives that span multiple teams or domains. - Education: - Bachelor's degree in Computer Science, Software Engineering, or related field of equivalent combination of education and experience. Experience: - 10+ years of software engineering experience. - Demonstrated experience leading technical initiatives across multiple teams. - Strong experience with distributed systems, APIs, cloud platforms, and modern software architecture. - Experience working within Agile software development environments. - Strong written and verbal communication skills. - Ability to influence technical direction without relying on organizational authority. - Experience mentoring engineers and technical leaders. Preferred: - Experience with AI-assisted software development tools and workflows. - Experience with cloud-native architectures and modern platform engineering practices. - Experience modernizing legacy systems. - Experience with healthcare technology, regulated environments, or enterprise SaaS platforms. - Experience with AWS, Azure, Kubernetes, CI/CD, observability platforms, and Infrastructure as Code. Travel: - Ability to travel as needed! The Staff Engineer succeeds by making teams better, not by becoming the person who must solve every problem personally. Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Design, build, and operate scalable data pipelines and data platform capabilities for analytics and AI/ML products. | Requires 5+ years in data engineering with expertise in Python, SQL, Snowflake, cloud platforms, and distributed data technologies. | Experity is a mission-driven team transforming on-demand healthcare across the U.S., empowering urgent care clinics with industry-leading software that makes care faster, easier, and more patient-focused. Joining us means doing meaningful work that directly improves the healthcare experience for millions—from helping families access care quickly to ensuring clinics run smoothly behind the scenes. If you want to make a real impact alongside innovative, dedicated teammates while contributing to a trusted platform that’s becoming the operating system for on-demand care, Experity is the place to grow your career. Why You’ll Love Working Here At Experity, Great Work Starts With Great People—and We Go The Extra Mile To Support Our Team With a Culture Of Care, Growth, And Celebration - Day-One Benefits: Health, dental/orthodontia, and vision coverage the moment you start. - Ownership & Impact: Be part of our success with a synthetic ownership program after one year. - Robust Support: Access our Employee Assistance Program for everything from mental wellness to financial coaching. Pets, planning a vacation, and more. - Recharge & Reconnect: Generous PTO, team events, family picnics, and holiday parties. - Career Growth: Development programs designed to help you thrive and grow. - Competitive Compensation: Including quarterly bonuses and 401(k) matching to invest in your future. Position Type: Full-time Compensation: $110,000-$150,000, based on experience Location: - Remote: Team members who live within the U.S. but are not local within a commutable distance from one of our offices may work remotely, with occasional travel to an Experity office for meetings, team collaboration or as needed. Position Overview We are seeking a Senior Data Engineer to design, build, and operate scalable data pipelines and data platform capabilities that power Experity's analytics, AI/ML, and healthcare products. This is a hands-on engineering role requiring strong expertise in data engineering, cloud technologies, distributed data processing, and software engineering. You will work closely with Data Engineering, Data Science, Machine Learning, Product, and Software Engineering teams to transform data from diverse sources into trusted, high-quality, and reusable data products. As a senior member of the team, you will also provide technical leadership, mentor engineers, contribute to architecture and design decisions, and continuously improve the scalability, reliability, and efficiency of Experity's data ecosystem. What You'll Do Data Engineering & Platform - Design, build, and maintain scalable ETL/ELT pipelines for batch and near-real-time data processing. - Integrate data from databases, APIs, applications, event streams, and external sources into Experity's enterprise data platform. - Build reusable, high-quality data models and curated data products for analytics, reporting, AI/ML, and operational applications. - Develop complex data transformations and processing workflows using Python, SQL, Snowflake, and distributed data technologies. - Design data solutions for scalability, availability, resiliency, performance, and cost efficiency. Engineering Excellence & DataOps - Develop reusable frameworks, libraries, and engineering patterns that improve developer productivity and data pipeline consistency. - Implement automated testing, CI/CD, Infrastructure as Code, and DataOps practices across data engineering workflows. - Build monitoring, alerting, data observability, and automated remediation capabilities to ensure pipeline reliability and data integrity. - Troubleshoot complex production issues and drive root-cause analysis and long-term improvements. - Continuously optimize data pipelines, queries, storage, and compute for performance and cost. Data Quality, Governance & Security - Implement data quality, validation, lineage, and reconciliation controls across critical data pipelines. - Partner with Data Architecture, Governance, and Security teams to ensure data solutions follow enterprise standards. - Ensure healthcare data is handled securely and in accordance with applicable privacy, security, and compliance requirements. Technical Leadership & Collaboration - Provide technical leadership through solution design, architecture discussions, code reviews, and engineering best practices. - Mentor Data Engineers and help improve engineering quality and technical capabilities across the team. - Partner with Data Scientists and Machine Learning Engineers to build reliable datasets, feature pipelines, and data infrastructure for AI/ML applications. - Collaborate with Product, Engineering, Analytics, and business stakeholders to translate requirements into scalable data solutions. - Maintain clear technical documentation for data pipelines, models, architecture, and operational processes. Qualifications - Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related technical field. - 5+ years of experience building production-grade data pipelines, data platforms, and large-scale data processing solutions. - Advanced proficiency in Python and SQL with strong software engineering fundamentals. - Hands-on experience with Snowflake and cloud-based data platforms. - Experience with Kafka, Flink, or other distributed and streaming technologies. - Strong experience with AWS, including services such as S3, Lambda, Glue, Kinesis, or equivalent cloud technologies. - Experience designing and optimizing ETL/ELT pipelines, data models, and high-volume data processing workflows. - Experience with orchestration technologies such as Airflow or equivalent platforms. - Experience with CI/CD, Git, automated testing, and Infrastructure as Code. - Strong understanding of data quality, governance, security, observability, and production support. - Strong problem-solving, communication, and cross-functional collaboration skills. - A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end Preferred - Experience transforming data leveraging dbt, preferably dbt cloud. - Experience working in AI-native engineering environments and effectively leveraging AI-assisted development tools to improve engineering velocity, code quality, and operational efficiency. - Experience supporting Machine Learning and Generative AI workloads, including feature engineering and ML data pipelines. - Experience with Docker, Kubernetes, Terraform, or CloudFormation. - Experience with data cataloging, lineage, metadata management, and data observability platforms. - Experience in Healthcare, HealthTech, SaaS, or other regulated industries. Why our team? - Build scalable data platforms that power healthcare products, analytics, Machine Learning, and Generative AI. - Solve challenging data problems involving large, complex, and highly valuable healthcare datasets. - Work with modern technologies including Snowflake, AWS, Python, Spark, and streaming platforms. - Collaborate closely with Data Engineering, Machine Learning, Data Science, Product, and Engineering teams. - Provide technical leadership while continuing to remain deeply hands-on with engineering. Experity is committed to fostering a diverse, equitable, and inclusive workplace where innovation thrives through collaboration, diverse perspectives, and continuous learning. Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.