McKesson
Atlanta, Georgia
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Current Need: We are seeking a highly skilled Azure Cloud & Systems Engineer to design, build, support, and continuously improve our Azure cloud environment and the infrastructure supporting our business-critical applications. This role requires deep technical expertise across Azure services, networking, security, Windows/Linux VMs, and secure file transfer technologies. The ideal candidate has extensive hands-on cloud engineering experience, excels in critical situations, communicates clearly with both technical and non-technical stakeholders, and thrives in a collaborative, team-oriented environment. This position also participates in an on-call rotation for after-hours incident response. Key Responsibilities: Azure Cloud Engineering Design, deploy, administer, and secure Azure resources (compute, networking, storage, governance). Create and maintain Alerting, Monitoring, and Dashboarding. Manage Azure policies, RBAC, tagging strategy, and enterprise governance controls. Support Azure Networking, including VNets, firewalls, routing, VPNs, endpoints, and private networking. Provision and maintain Windows and Linux virtual machines and related services. Support web applications and Azure components. Manage secure file transfer solutions (e.g., GoAnywhere, SFTP/FTP). Systems Engineering & Administration Maintain and troubleshoot enterprise-class systems, networks, and virtualized environments. Document cloud and network architectures, procedures, and environment configurations. Collaborate with DevOps and Database teams to ensure reliable, secure, scalable systems. Participate in an on-call rotation and respond to system-related incidents. Operational Excellence Perform advanced network troubleshooting using industry-standard tools. Provide accurate time estimates for tasks and follow through to complete resolution. Communicate technical concepts clearly to non-technical stakeholders. Remain self-directed, detail-oriented, and proactive in identifying and resolving issues. Quickly learn new technologies through self-study and hands-on experimentation. Minimum Requirement: Degree or equivalent and typically requires 4+ years of relevant experience. Education: 4-year degree in computer science or 4+ years of related experience Critical Skills: 4+ years' experience building cloud solutions and supporting cloud applications 3+ years of experience in Azure focused role Azure Engineering: 3-4+ years building, maintaining, and securing Azure resources Azure Networking: Deep understanding of TCP/IP, routing, VPNs, firewalls, NSGs, peering, etc Virtual Machines: 3+ years administering Windows Server VMs (Linux experience a plus) Strong PowerShell skills Security Technologies: Experience with VPNs, firewalls, secure transfer tools (SFTP/GoAnywhere) Troubleshooting: Proficient with network/system diagnostic tools and methodologies Ability to travel up to 10% Additional Knowledge & Skills: Excellent communication (written and verbal) skills Experience with KQL (Kusto Query Language) Experience with Powershell and other scripting languages Experience with Palo Alto firewalls (preferred). Experience working in healthcare environments (plus). Ability to work effectively in team and cross-functional project settings. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $86,000 - $143,300 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Current Need: We are seeking a highly skilled Azure Cloud & Systems Engineer to design, build, support, and continuously improve our Azure cloud environment and the infrastructure supporting our business-critical applications. This role requires deep technical expertise across Azure services, networking, security, Windows/Linux VMs, and secure file transfer technologies. The ideal candidate has extensive hands-on cloud engineering experience, excels in critical situations, communicates clearly with both technical and non-technical stakeholders, and thrives in a collaborative, team-oriented environment. This position also participates in an on-call rotation for after-hours incident response. Key Responsibilities: Azure Cloud Engineering Design, deploy, administer, and secure Azure resources (compute, networking, storage, governance). Create and maintain Alerting, Monitoring, and Dashboarding. Manage Azure policies, RBAC, tagging strategy, and enterprise governance controls. Support Azure Networking, including VNets, firewalls, routing, VPNs, endpoints, and private networking. Provision and maintain Windows and Linux virtual machines and related services. Support web applications and Azure components. Manage secure file transfer solutions (e.g., GoAnywhere, SFTP/FTP). Systems Engineering & Administration Maintain and troubleshoot enterprise-class systems, networks, and virtualized environments. Document cloud and network architectures, procedures, and environment configurations. Collaborate with DevOps and Database teams to ensure reliable, secure, scalable systems. Participate in an on-call rotation and respond to system-related incidents. Operational Excellence Perform advanced network troubleshooting using industry-standard tools. Provide accurate time estimates for tasks and follow through to complete resolution. Communicate technical concepts clearly to non-technical stakeholders. Remain self-directed, detail-oriented, and proactive in identifying and resolving issues. Quickly learn new technologies through self-study and hands-on experimentation. Minimum Requirement: Degree or equivalent and typically requires 4+ years of relevant experience. Education: 4-year degree in computer science or 4+ years of related experience Critical Skills: 4+ years' experience building cloud solutions and supporting cloud applications 3+ years of experience in Azure focused role Azure Engineering: 3-4+ years building, maintaining, and securing Azure resources Azure Networking: Deep understanding of TCP/IP, routing, VPNs, firewalls, NSGs, peering, etc Virtual Machines: 3+ years administering Windows Server VMs (Linux experience a plus) Strong PowerShell skills Security Technologies: Experience with VPNs, firewalls, secure transfer tools (SFTP/GoAnywhere) Troubleshooting: Proficient with network/system diagnostic tools and methodologies Ability to travel up to 10% Additional Knowledge & Skills: Excellent communication (written and verbal) skills Experience with KQL (Kusto Query Language) Experience with Powershell and other scripting languages Experience with Palo Alto firewalls (preferred). Experience working in healthcare environments (plus). Ability to work effectively in team and cross-functional project settings. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $86,000 - $143,300 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
Myriad Genetics
Salt Lake City, Utah
Architecture Student Intern Myriad Genetics is a leading genetic testing and precision medicine company dedicated to advancing health and well-being for all. Our tests empower individuals with vital genetic insights and enable healthcare providers to better detect, treat and prevent disease. Our tests are powered by an automated sequencing lab and software thatcovers a fullhardware and software technology stack:robotics,automation, scientific compute, data pipelines, variant calling/interpretation (bioinformatics), data visualization, risk calculations (population genetics), electronic medical records (EMR), patient and doctor user experience (UX), and solving key workflow problems in large complex health systems.We are looking for Software Engineering Interns to work in the parts of this technology stack that they find most interesting and ship innovative software solutions to production to improve our ability to provide these critical genetic insights to providers and patients. Responsibilities: This is aREMOTE - WORK FROM HOMEposition with flex-work as an option if you are near a Myriad location.Candidates must be living in United States and must have green-card or US citizenship. We are looking for self-motivated intern with backgrounds in Computer Science or Business major who are interested in joining our Architect to work on problems in this space. We pair interns directly with an architect on our team.Responsibilities: Assist the EA team in the selection of an enterprise architecture tool. Conduct vendor assessments, evaluations, and provide recommendations. Support the team in performing a proof of concept (PoC) with the selected EA tool. Gather and analyze requirements from various stakeholders (Tech and Biz) Document findings, processes, and recommendations. Participate in meetings and provide insights based on research and analysis. Collaborate with cross-functional teams to ensure alignment with organizational goals.Education & Experience: Currently pursuing a Bachelor's or Master's degree in Computer Science, Information Technology, Business Administration, or a related field. Previous internship or project experience in IT, software evaluation, or business analysis is a plus. Familiarity with enterprise architecture concepts and tools is desirable.Skills: Strong analytical and research skills. Excellent written and verbal communication skills. Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint). Ability to work independently and as part of a team.Behaviors: Detail-oriented with a strong focus on accuracy. Proactive and self-motivated. Eager to learn and adapt to new challenges. Strong problem-solving skills. Ability to manage time effectively and prioritize tasks.About the Team: You will be working with the Office of the CTO in a brand-new EA team. Our team is composed of experienced architecture professionals. We are focused on the biotech industry, driving innovation and excellence in enterprise architecture.Benefits: Gain hands-on experience in enterprise architecture and tool evaluation. Work closely with experienced professionals in the field. Opportunity to contribute to impactful projects. Flexible working hours to accommodate academic commitments. WE ARE AN EQUAL OPPORTUNITY EMPLOYER. All applicants will be considered for employment without attention to mental or physical disability, race, color, religion, sex, sexual orientation, gender identity, age, genetic information, national origin, disability status, military or veteran status. Applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder) We take geographic location into account when determining base salary to ensure equitable and competitive compensation.
Architecture Student Intern Myriad Genetics is a leading genetic testing and precision medicine company dedicated to advancing health and well-being for all. Our tests empower individuals with vital genetic insights and enable healthcare providers to better detect, treat and prevent disease. Our tests are powered by an automated sequencing lab and software thatcovers a fullhardware and software technology stack:robotics,automation, scientific compute, data pipelines, variant calling/interpretation (bioinformatics), data visualization, risk calculations (population genetics), electronic medical records (EMR), patient and doctor user experience (UX), and solving key workflow problems in large complex health systems.We are looking for Software Engineering Interns to work in the parts of this technology stack that they find most interesting and ship innovative software solutions to production to improve our ability to provide these critical genetic insights to providers and patients. Responsibilities: This is aREMOTE - WORK FROM HOMEposition with flex-work as an option if you are near a Myriad location.Candidates must be living in United States and must have green-card or US citizenship. We are looking for self-motivated intern with backgrounds in Computer Science or Business major who are interested in joining our Architect to work on problems in this space. We pair interns directly with an architect on our team.Responsibilities: Assist the EA team in the selection of an enterprise architecture tool. Conduct vendor assessments, evaluations, and provide recommendations. Support the team in performing a proof of concept (PoC) with the selected EA tool. Gather and analyze requirements from various stakeholders (Tech and Biz) Document findings, processes, and recommendations. Participate in meetings and provide insights based on research and analysis. Collaborate with cross-functional teams to ensure alignment with organizational goals.Education & Experience: Currently pursuing a Bachelor's or Master's degree in Computer Science, Information Technology, Business Administration, or a related field. Previous internship or project experience in IT, software evaluation, or business analysis is a plus. Familiarity with enterprise architecture concepts and tools is desirable.Skills: Strong analytical and research skills. Excellent written and verbal communication skills. Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint). Ability to work independently and as part of a team.Behaviors: Detail-oriented with a strong focus on accuracy. Proactive and self-motivated. Eager to learn and adapt to new challenges. Strong problem-solving skills. Ability to manage time effectively and prioritize tasks.About the Team: You will be working with the Office of the CTO in a brand-new EA team. Our team is composed of experienced architecture professionals. We are focused on the biotech industry, driving innovation and excellence in enterprise architecture.Benefits: Gain hands-on experience in enterprise architecture and tool evaluation. Work closely with experienced professionals in the field. Opportunity to contribute to impactful projects. Flexible working hours to accommodate academic commitments. WE ARE AN EQUAL OPPORTUNITY EMPLOYER. All applicants will be considered for employment without attention to mental or physical disability, race, color, religion, sex, sexual orientation, gender identity, age, genetic information, national origin, disability status, military or veteran status. Applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder) We take geographic location into account when determining base salary to ensure equitable and competitive compensation.
Capital One
Richmond, Virginia
Senior Lead Machine Learning Engineer, (Intelligent Foundations & Experiences)As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Lead Machine Learning Engineer, (Intelligent Foundations & Experiences)As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
McKesson
Columbus, Ohio
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. CoverMyMeds is hiring a Senior Data Architect to lead the modernization of our enterprise analytics visualization ecosystem. This role defines the architectural strategy for transitioning from on-premises BI capabilities to modern, cloud-based solutions that support internal teams and external healthcare partners. The ideal candidate has deep experience in BI/visualization architecture, cloud migration, and enterprise-scale analytics environments-preferably within healthcare. What You'll Do Evaluate and document the current on-premises visualization environment, including semantic layers, security, performance, and integrations. Define the target-state cloud architecture across Azure, Databricks, Tableau, and Power BI. Build and lead a multi-year roadmap to migrate visualization platforms to cloud-based solutions. Establish enterprise standards for semantic modeling, certified datasets, naming conventions, and governed business logic. Develop reusable architectural patterns for: Self-service analytics Embedded/external-facing analytics Multi-tenant and secure access models Performance optimization Architect row-level, object-level, and role-based security aligned with HIPAA and regulatory requirements. Partner with data engineering to align upstream transformations with downstream semantic and visualization needs. Create governance for dashboard certification, promotion workflows, metadata, and lineage visibility. Lead design reviews to ensure alignment with modernization standards. Mentor BI developers, analytics engineers, and architects on best practices. Minimum Qualifications Degree or equivalent and typically requires 7+ years of relevant experience Education Bachelor's degree in Computer Science, Information Systems, or related field. Critical Skills 7+ years of technical experience; 5+ years in analytics or BI architecture with strong focus on visualization and semantic layers. Proven experience (5+ years) leading BI modernization or cloud migration efforts. Strong background (5+ years) in dimensional/semantic modeling and BI performance optimization. Experience with Azure-based analytics ecosystems and Databricks. Comfortable supporting large-scale environments serving internal and external users. Deep knowledge of BI security, including RLS and multi-audience access controls. Ability to translate complex business and technical requirements into scalable architecture. Preferred Skills Healthcare industry experience. Strong communication and influence across technical and business teams. Experience with customer-facing or embedded analytics. Background building enterprise BI standards and reusable frameworks. Familiarity with data catalogs, metadata tools, and governance practices. Success operating in large, distributed enterprise environments. Ability to balance long-term strategy with incremental modernization delivery. Bonus: Cognos experience. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $124,100 - $206,900 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you require accommodation please contact us by sending an email to . Join us at McKesson!
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. CoverMyMeds is hiring a Senior Data Architect to lead the modernization of our enterprise analytics visualization ecosystem. This role defines the architectural strategy for transitioning from on-premises BI capabilities to modern, cloud-based solutions that support internal teams and external healthcare partners. The ideal candidate has deep experience in BI/visualization architecture, cloud migration, and enterprise-scale analytics environments-preferably within healthcare. What You'll Do Evaluate and document the current on-premises visualization environment, including semantic layers, security, performance, and integrations. Define the target-state cloud architecture across Azure, Databricks, Tableau, and Power BI. Build and lead a multi-year roadmap to migrate visualization platforms to cloud-based solutions. Establish enterprise standards for semantic modeling, certified datasets, naming conventions, and governed business logic. Develop reusable architectural patterns for: Self-service analytics Embedded/external-facing analytics Multi-tenant and secure access models Performance optimization Architect row-level, object-level, and role-based security aligned with HIPAA and regulatory requirements. Partner with data engineering to align upstream transformations with downstream semantic and visualization needs. Create governance for dashboard certification, promotion workflows, metadata, and lineage visibility. Lead design reviews to ensure alignment with modernization standards. Mentor BI developers, analytics engineers, and architects on best practices. Minimum Qualifications Degree or equivalent and typically requires 7+ years of relevant experience Education Bachelor's degree in Computer Science, Information Systems, or related field. Critical Skills 7+ years of technical experience; 5+ years in analytics or BI architecture with strong focus on visualization and semantic layers. Proven experience (5+ years) leading BI modernization or cloud migration efforts. Strong background (5+ years) in dimensional/semantic modeling and BI performance optimization. Experience with Azure-based analytics ecosystems and Databricks. Comfortable supporting large-scale environments serving internal and external users. Deep knowledge of BI security, including RLS and multi-audience access controls. Ability to translate complex business and technical requirements into scalable architecture. Preferred Skills Healthcare industry experience. Strong communication and influence across technical and business teams. Experience with customer-facing or embedded analytics. Background building enterprise BI standards and reusable frameworks. Familiarity with data catalogs, metadata tools, and governance practices. Success operating in large, distributed enterprise environments. Ability to balance long-term strategy with incremental modernization delivery. Bonus: Cognos experience. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $124,100 - $206,900 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you require accommodation please contact us by sending an email to . Join us at McKesson!
