10 jobs found

Job Description: Location: Candidate will work onsite Tuesday, Wednesday, and Thursday, and remotely on Mondays and Fridays. Role Summary The Business Analyst II - ITSM is a mid-level role responsible for leading requirements definition, process design, and delivery support for ServiceNow ITSM and ITOM capabilities. This role works independently with business and IT stakeholders to intake demand, analyze processes, and translate needs into clearly defined, actionable work for IT Dev/Analysts. The BA II plays a critical role in improving service delivery, data quality, and platform adoption by ensuring solutions align with ITIL best practices, enterprise standards, and operational needs. Key Responsibilities Demand Intake & Backlog Management Own intake and triage of enhancement requests across ITSM / ITOM (Run / Grow / Transform alignment) Lead requirement workshops and stakeholder interviews Develop clear user stories, business requirements, and acceptance criteria Prepare and maintain a prioritized backlog of ready work for IT Dev/Analysts Partner with requestors to define acceptance criteria aligned to business outcomes Develop and coordinate User Acceptance Testing (UAT) plans, scenarios, and test cases Facilitate UAT sessions with requestors, ensuring scenarios validate real-world process flows Validate delivered functionality against requirements and confirm expected business outcomes are met Process Design & Optimization Analyze and improve ITSM processes (Incident, Request, Change, Problem, Asset, CMDB) Document current and future state workflows, including roles and ownership (RACI) Identify inefficiencies, automation opportunities, and control gaps Ensure alignment to ITIL best practices and operational support models ServiceNow & Data Requirements Translate business needs into ServiceNow data and configuration requirements Define requirements for CMDB, CSDM alignment, and data lifecycle management Partner with IT Dev/Analysts on Discovery, Service Mapping, and integration use cases Ensure data quality expectations are clearly defined, measurable, and enforceable Delivery Execution Support Participate in sprint ceremonies (planning, backlog grooming, demos, retrospectives) Support user acceptance testing (UAT) and validate delivered outcomes Ensure delivered solutions meet defined business requirements Identify and escalate delivery risks, gaps, or misalignment early Stakeholder Engagement Serve as primary point of contact for assigned services or capability areas Facilitate cross-team discussions to align on requirements and priorities Communicate progress, risks, and decisions clearly to stakeholders Balance competing priorities across business and IT partners Reporting & Continuous Improvement Define and track KPIs across ITSM processes (e.g., ticket quality, SLA performance, volume trends) Develop reporting and dashboard requirements to support operational visibility Analyze trends and recommend improvements to processes and platform usage Support audit, compliance, and governance reporting needs Collaboration & Teamwork Partner with IT Dev/Analysts to translate requirements into scalable solutions Work with Service Desk, Client Support, and operations teams on process improvements Collaborating with architects and platform leads to ensure alignment with standards Engage vendors and system integrators as needed for delivery activities Core Skills Business & Process Skills Strong understanding of IT Service Management (ITIL framework) Process modeling (workflow diagrams, swim lanes, RACI) Requirements gathering and documentation (user stories, epics, acceptance criteria) Strong analytical and problem-solving skills Effective stakeholder facilitation and communication Platform & Technical Acumen Working knowledge of ServiceNow ITSM (tables, workflows, reporting) Familiarity with CMDB, CSDM, Discovery, and Service Mapping concepts Understanding of integrations and enterprise tooling ecosystem Experience defining reporting and Performance Analytics requirements Qualifications - Required 5-8 years of experience in IT, business analysis, or service management roles 3-5 years of experience working with ServiceNow ITSM and/or ITOM Strong understanding of ITIL processes and service operations Proven ability to independently lead requirements and process design efforts Experience working in Agile or hybrid delivery environments Bachelor's degree or equivalent experience preferred Pay Range: $50.00 - $60.00 per hour, depending upon experience. Health & Medical Benefits, 401K, Employee Assistance Program, and Sick Time applicable by state.

RightDirection Technology Solutions LLC Description: RDTS is seeking Cleared Senior to Mid-level Information Assurance Analysts to support the Bureau of Overseas Building Operations (OBO) at the U.S. Dept of State in Washington, D.C. We are seeking a highly experienced and policy-savvy Information Assurance Analysts to lead information assurance activities supporting the OBO. This senior role provides expert-level support for governance, risk management, compliance, and system authorization activities across a globally distributed IT portfolio. This is a primarily remote role; however, due to ongoing federal Return-to-Office policy changes, candidates must reside in the Washington, DC metro area and be prepared to report onsite full-time if required. All classified activities will be performed in a secure government facility. The selected candidate will serve as a subject matter expert on the implementation of NIST RMF, development of ATO packages, policy compliance, and audit readiness for over 40 FISMA-reportable systems. This position supports the ISSO, coordinates with system owners, and plays a key role in the Department's continuous monitoring and authorization strategy. KEY RESPONSIBILITIES: Authorization and Compliance Leadership: Lead the development and maintenance of comprehensive ATO packages, including SSPs, SARs, RARs, and POA&Ms. Ensure documentation aligns with NIST SP 800-53, FISMA, and Department-specific security requirements. RMF Lifecycle Oversight: Oversee all phases of the Risk Management Framework lifecycle from system categorization through continuous monitoring. Ensure timely and accurate assessment of security controls and facilitate authorizations and reauthorizations. Policy and Governance Support: Interpret and apply Departmental cybersecurity policies, including 12 FAM, 5 FAH-6, and CSB guidelines. Recommend improvements to internal policies, controls, and procedures to align with emerging federal mandates. Security Impact Analysis and Continuous Monitoring: Lead Security Impact Analyses (SIA) for system changes. Review vulnerability scan results, update control implementation statements, and track remediation progress through governance systems such as ArchAngel. Audit Readiness and Documentation Quality: Coordinate internal and external audit activities, prepare evidence packages, and respond to data calls. Ensure all documentation is audit-ready, consistent, and current with evolving control requirements. Mentorship and Cross-Functional Coordination: Advise mid-level analysts and ISSO support staff. Serve as a primary liaison to cloud architects, infrastructure engineers, and system owners to ensure security is integrated into all IT planning and operations. Requirements: Active Security Clearance Bachelor's degree in Cybersecurity, Information Assurance, or a related field (or equivalent experience) Minimum of 8 years of information assurance experience in federal environments Extensive knowledge of NIST RMF, FISMA, and NIST SP 800-53 controls Proven experience leading ATO efforts and supporting complex IT systems through the full security lifecycle Strong writing skills with experience producing high-quality SSPs, SARs, and related artifacts. Preferred Qualifications: Prior experience supporting Department of State or similarly structured federal agencies. Familiarity with ArchAngel, eMASS, or other A&A governance platform. DoD 8570 compliant certification (CISSP, CISM, CAP, or equivalent) Background in hybrid environments, including cloud ATOs and continuous monitoring Experience participating in cross-agency audits and briefing executive stakeholders All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or other legally protected status. PI885a2cbff0cc-4262

Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world . Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally . Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. The Data Product team is seeking a Senior Product Manager II to drive measurement strategy and analytics instrumentation across ESPN's portfolio of digital products. The team sits at the intersection of the analytics and business teams who depend on trusted data and the engineering teams who build the systems that produce it - and this role is where those worlds meet. You'll own instrumentation outcomes across ESPN digital products driving measurement strategy, schema design, and end-to-end delivery across web, mobile, and connected TV. The scope runs the full lifecycle: from defining what gets measured and why, through implementation and validation support, to ensuring downstream teams have the reliable, well-documented data they can build on. Own data collection outcomes for ESPN's digital products - accountable for completeness, accuracy, and usability across your instrumentation domain. Define what gets measured, why it matters, and how behavioral signals and event schemas serve analytics, reporting, and experimentation needs. Convert stakeholder questions into precise instrumentation specs - events, parameters, identifiers, schemas - that engineers can implement without ambiguity across platforms. Drive instrumentation from discovery through launch, orchestrating delivery across Product Engineering, Analytics Engineering, QA, and Platform partners. Work directly with engineering to ensure instrumentation is implemented correctly and meets platform standards - the bridge between measurement intent and technical reality. Configure and operate the analytics platform stack hands-on: implementation, maintenance, and optimization to support reliable, self-service analysis. Proactively identify instrumentation gaps and drive resolution through sharper specs, stronger validation, and tight coordination with engineering and QA. Use data to audit tagging and tracking health, surface improvement opportunities, and shape future measurement decisions. Mentor peer PMs and share instrumentation expertise across the team. You bring deep technical fluency in data collection and instrumentation, strong judgment about what measurement actually matters, and the communication skills to align engineers, analysts, and business leaders. You hold yourself to a standard of data quality that makes the difference between insights organizations trust and data they work around. Basic Qualifications 7 years or more in analytics instrumentation, data product management, or analytics engineering - with a track record of owning outcomes, not just executing tasks Deep hands-on experience designing event-based data models and instrumentation schemas across web, mobile, and connected TV - including event taxonomies, parameter design, identifier strategies, and implementable data contracts Ability to translate ambiguous business questions into precise instrumentation specifications - closing the gap between what stakeholders need to know and what engineers build SQL fluency and hands-on experience in cloud data platforms (Snowflake, Databricks, BigQuery , or equivalent) to validate data quality, investigate anomalies, and own your analysis Experience configuring and operating enterprise analytics platforms at scale - owning implementation, validation, and maintenance, not just strategy Proven ability to orchestrate cross-functional instrumentation delivery across Product Engineering, Analytics, QA, and platform partners A bias for action and an ownership mindset: you solve problems end-to-end and are equally comfortable debugging a data issue and presenting measurement strategy to senior leadership You use AI-enabled tools as a genuine force multiplier - this is how you work, not a skill you're developing Clear, crisp communication: precise technical specs, accessible explanations of instrumentation tradeoffs for non-technical stakeholders, and the ability to influence across engineering, product and analytics Preferred Qualifications Experience with sports, media, or direct-to-consumer digital products at scale Hands-on experience implementing solutions from Adobe's Customer Experience (CX) Analytics suite - Adobe Analytics, Customer Journey Analytics, or Adobe Experience Platform - at enterprise scale Expert understanding of media industry measurement solutions (Nielsen, Comscore ) and how they're implemented and integrated within a major media organization Familiarity with event-driven architectures or streaming data infrastructure and their connection to downstream analytics Experience enabling self-service analytics at scale through standardized metrics frameworks, reporting taxonomies, or dashboarding solutions Working knowledge of data governance, privacy, and consent frameworks (GDPR, CCPA) and their practical implications for instrumentation design Required Education Bachelor's degree in computer science, Engineering, Business, Analytics, or related field, or equivalent practical experience. The hiring range for this position in Bristol, CT is $155,700 - $208,700 and New York City, NY is $163,100 - $218,700 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

We are more than a health system. We are a belief system. We believe wellness and sickness are both part of a lifelong partnership, and that everyone could use an expert guide. We work hard, care deeply and reach further to help people uncover their own power to be healthy. We inspire hope. We learn, grow, and achieve more - in our careers and in our communities. Job Description Summary: The Senior Systems Analyst Epic will play a crucial role in designing, building, testing, deploying, and supporting Epic applications to optimize clinical and operational workflows. This position requires a deep understanding of healthcare workflows, system integration, and project management to ensure the efficient operation of the healthcare system's IT infrastructure. Partners closely with operational leaders and end users to translate business requirements into reliable Epic configuration, integrations, and reporting-supporting safe patient care, efficient revenue cycle operations, and regulatory compliance while achieving Service Level Agreements (SLAs) relative to the supported applications. Provides technical expertise by enforcing the vision of the application and safeguarding the integrity and security of the application environment in collaboration and partnership with architects, tech leads and engineers. Leads process improvement activities related to Application Management for Epic and related third party applications. Responsibilities And Duties: Both RolesSystem Analysis and Design: Engage stakeholders to gather and refine requirements, map current-state workflows, and design Epic build that aligns with operational goals and policy. Create and maintain specifications, decision logs, and design documents for clear traceability and change control. Conduct gap analyses to identify configuration or workflow changes needed for upgrades, regulatory changes, or new initiatives. Project Management: Manage smaller projects related to system implementations and upgrades. Strong knowledge with various project management approaches, e.g. waterfall, agile. Ability to lead project teams in project methodology. Training and Documentation: Create and maintain comprehensive documentation for system configurations and processes. Mentor junior analysts and provide guidance on best practices. Application Build RoleApplication Build, Configuration, and Deployment: Configure records, master files, and tools (e.g., profiles, rules, security classes, workflows) aligned to approved design. Maintain environment parity and adhere to change management and build naming conventions. Develop and execute unit, integrated, and UAT test plans; log and resolve defects; document test evidence. Validate interfaces, printing, reporting, and downstream workflows; confirm regression coverage in upgrades. Coordinate release management, environment moves, and downtime procedures for upgrades and patches. Provide go-live and post-live hypercare, including rounding, office hours, tip sheets, and at-the-elbow support. Manage service requests and incidents ina timely manner; meet SLAs through robust triage and root-cause analysis. Provide advanced support for (Epic, Workday, Kronos,) and other applications. Collaborate with IT and clinical teams to integrate across IT portfolio with other IT systems (e.g., Epic, 3rd Party Imaging Applications, AI, etc.). Integration and Data Management: Collaborate with interface teams on HL7, FHIR, PDFs, CCD/CCDA, and other exchange workflows. Partner with analytics teams on Clarity/Caboodle extracts, registries, and operational reporting needs. Ensure data integrity and metric definitions are consistent across modules and stakeholders. Compliance & Risk: Support regulatory readiness (e.g., CMS, Joint Commission), audit needs, and policy alignment. Embed privacy/security controls, including sensitive record handling and audit trails. Contribute to ITIL-aligned incident, problem, change, and configuration management processes. Application Training RoleCurriculum Management: Design and implement customized training programs aligned with organizational strategy and operational goals Oversee maintenance, enhancement, and governance of the CareConnect curriculum Ensure curriculum accuracy, consistency, and alignment with organizational priorities Incorporate learner and stakeholder feedback into ongoing curriculum improvements Oversee the build, maintenance, and readiness of training environments Ensure clear and timely communication related to system releases and upgrades Request/Incident Management: Manage end user training related requests and incidents with professionalism and efficiency Evaluate, prioritize, assign, and resolve requests within established service expectations Document incidents and resolutions to support a comprehensive knowledge base Collaborate with IT and operational partners to identify trends and implement preventative improvements Refine support processes to enhance service quality and user experience Minimum Qualifications: Bachelor's Degree Additional Job Description: Degree in computer science, Information Technology, Healthcare Administration, or a related field. Minimum of 5-7 years of experience in system analysis and support within a healthcare environment. In lieu of degree, 10+ years of experience in system analysis and support within a healthcare environment. SPECIALIZED KNOWLEDGE Required Experience with Epic application(s) and healthcare workflows (clinical, revenue cycle or IT experience). Strong requirements gathering, workflow design, and testing skills. Familiarity with ITIL, change control, SDLC practices, system governance, and waterfall/agile project methodologies. Ability to communicate with clinical, operational stakeholders, and managed service providers and produce clear documentation. Proven track record of managing complex projects and leading cross-functional teams. Preferred Current Epic Certification or Proficiency in one or more relevant module(s) (e.g., HB, PB, Cadence, Referrals, Orders, ClinDoc, Clarity). 3+ years of build Epic build and configuration experience Experience with system integration, HL7, FHIR, and interface testing. Exposure to SQL/Clarity, Caboodle, SlicerDicer, or reporting tools (e.g., Radar, Reporting Workbench). Prior work in patient access, billing, coding, finance, or clinical operations (for respective modules). Previous experience in a leadership or supervisory role. DESIRED ATTRIBUTES ITIL Foundation certification desired not required. Certifications in one of more Epic applications Experience in a large healthcare system or hospital setting. Experience with other healthcare applications and systems. Knowledge of healthcare regulations and compliance standards. Familiarity with cloud computing platforms (e.g., AWS, Azure). Experience with business intelligence and analytics tools. Advanced degree (Master's or higher) in a related field is a plus. Work Shift: Day Scheduled Weekly Hours : 40 Department IS Applications Join us! if your passion is to work in a caring environment if you believe that learning is a life-long process if you strive for excellence and want to be among the best in the healthcare industry Equal Employment Opportunity OhioHealth is an equal opportunity employer and fully supports and maintains compliance with all state, federal, and local regulations. OhioHealth does not discriminate against associates or applicants because of race, color, genetic information, religion, sex, sexual orientation, gender identity or expression, age, ancestry, national origin, veteran status, military status, pregnancy, disability, marital status, familial status, or other characteristics protected by law. Equal employment is extended to all person in all aspects of the associate-employer relationship including recruitment, hiring, training, promotion, transfer, compensation, discipline, reduction in staff, termination, assignment of benefits, and any other term or condition of employment Remote Work Disclaimer: Positions marked as remote are only eligible for work from Ohio.

Society Insurance Company seeks a Data Architect to lead enterprise data design within our Insurance IT & Data Management team. You'll define data models, standards, and governance to support underwriting, claims, and analytics for niche hospitality and contractor clients. Partner with developers, analysts, and business leaders to design modern data platforms, integrate core policy/claims systems, and enable BI, reporting, and advanced analytics. Thrive in a collaborative, relationship driven culture focused on integrity, local communities, and tailored risk management solutions.

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 seeking a Specialist, Data Engineering to join our Data Engineering team. Of note, our Data Engineering Team is a highly technical group of results driven Engineers, Analysts and Architects focused on providing our internal and external clients with high quality, repeatable and scalable data solutions. Together with our various business units, the work our Data Engineering team does ultimately helps get more people the medicine they need to live healthier lives. We are looking for a hands-on Data Engineer who can quickly contribute to the design, development, and support of scalable data pipelines and data solutions. This role focuses on building and maintaining reliable data integrations, transforming complex data into trusted business assets, and supporting analytics and reporting initiatives across the organization. The ideal candidate brings strong Databricks expertise, experience working with large-scale datasets, and the ability to partner effectively with business and technical stakeholders. This individual will help deliver high-quality data solutions while contributing to a collaborative team environment and supporting the growth of junior team members. What You'll Do Data Engineering & Pipeline Development Design, build, and maintain scalable data pipelines that support reporting, analytics, and operational business needs. Develop data ingestion and integration processes from a variety of structured and unstructured data sources. Create and optimize data transformations using SQL, Databricks, and Azure-based technologies. Support both batch and real-time data processing solutions. Implement data quality, validation, and monitoring processes to ensure trusted and reliable data assets. Troubleshoot and resolve data pipeline performance, reliability, and data quality issues. Data Modeling & Business Support Develop conceptual and logical data models based on business reporting requirements. Partner with business stakeholders, analysts, and technology teams to understand data needs and translate them into scalable solutions. Work with application development teams to understand source systems and build efficient data flows into enterprise data environments. Support data governance initiatives through standardization, documentation, and quality controls. Team Collaboration Partner closely with Data Systems Analysts, Analytics teams, and Technology partners to solve business problems with data. Communicate technical concepts clearly to both technical and non-technical audiences. Leverage modern engineering practices and AI-assisted development tools to improve solution delivery and efficiency. Share knowledge and provide guidance to less experienced team members. Minimum Qualifications Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience. 4+ years of experience in a dedicated Data Engineering role. 4+ years of hands-on experience building and supporting data pipelines and data integration solutions. Strong experience with Databricks in a production environment. Strong SQL development skills. Experience working with Azure-based data services. Experience supporting reporting, analytics, systems integration, and data governance initiatives. Demonstrated expertise in conceptual and logical data modeling. Experience working with both structured and unstructured data. Strong written and verbal communication skills. Preferred Qualifications Experience with data streaming and event-driven architectures such as Kafka. Experience with Infrastructure as Code tools such as Terraform. Experience supporting large-scale cloud migration or modernization programs. Familiarity with AI-assisted development tools such as Claude Code, GitHub Copilot, or similar technologies. Experience supporting business-critical applications and highly available data platforms. Experience mentoring junior engineers or providing technical guidance within a collaborative team environment. 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 $106,500 - $177,500 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!

Delta Defense seeks an Analytics Engineer to build and optimize our modern data stack within the Data Science & AI team. You will design and maintain robust, scalable data models, pipelines, and warehouse solutions that power analytics, reporting, and machine learning for a mission-driven business serving responsible gun owners nationwide. Partner with data scientists, analysts, and business stakeholders to translate requirements into clean, reliable datasets, streamline ELT workflows, and implement best practices in data quality, documentation, and governance, enabling fast, trustworthy insights across the organization.

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 seeking a Specialist, Data Engineering to join our Data Engineering team. Of note, our Data Engineering Team is a highly technical group of results driven Engineers, Analysts and Architects focused on providing our internal and external clients with high quality, repeatable and scalable data solutions. Together with our various business units, the work our Data Engineering team does ultimately helps get more people the medicine they need to live healthier lives. We are looking for a hands-on Data Engineer who can quickly contribute to the design, development, and support of scalable data pipelines and data solutions. This role focuses on building and maintaining reliable data integrations, transforming complex data into trusted business assets, and supporting analytics and reporting initiatives across the organization. The ideal candidate brings strong Databricks expertise, experience working with large-scale datasets, and the ability to partner effectively with business and technical stakeholders. This individual will help deliver high-quality data solutions while contributing to a collaborative team environment and supporting the growth of junior team members. What You'll Do Data Engineering & Pipeline Development Design, build, and maintain scalable data pipelines that support reporting, analytics, and operational business needs. Develop data ingestion and integration processes from a variety of structured and unstructured data sources. Create and optimize data transformations using SQL, Databricks, and Azure-based technologies. Support both batch and real-time data processing solutions. Implement data quality, validation, and monitoring processes to ensure trusted and reliable data assets. Troubleshoot and resolve data pipeline performance, reliability, and data quality issues. Data Modeling & Business Support Develop conceptual and logical data models based on business reporting requirements. Partner with business stakeholders, analysts, and technology teams to understand data needs and translate them into scalable solutions. Work with application development teams to understand source systems and build efficient data flows into enterprise data environments. Support data governance initiatives through standardization, documentation, and quality controls. Team Collaboration Partner closely with Data Systems Analysts, Analytics teams, and Technology partners to solve business problems with data. Communicate technical concepts clearly to both technical and non-technical audiences. Leverage modern engineering practices and AI-assisted development tools to improve solution delivery and efficiency. Share knowledge and provide guidance to less experienced team members. Minimum Qualifications Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience. 4+ years of experience in a dedicated Data Engineering role. 4+ years of hands-on experience building and supporting data pipelines and data integration solutions. Strong experience with Databricks in a production environment. Strong SQL development skills. Experience working with Azure-based data services. Experience supporting reporting, analytics, systems integration, and data governance initiatives. Demonstrated expertise in conceptual and logical data modeling. Experience working with both structured and unstructured data. Strong written and verbal communication skills. Preferred Qualifications Experience with data streaming and event-driven architectures such as Kafka. Experience with Infrastructure as Code tools such as Terraform. Experience supporting large-scale cloud migration or modernization programs. Familiarity with AI-assisted development tools such as Claude Code, GitHub Copilot, or similar technologies. Experience supporting business-critical applications and highly available data platforms. Experience mentoring junior engineers or providing technical guidance within a collaborative team environment. 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 $106,500 - $177,500 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!

Overview The Lead Systems Engineer for High Performance Computing (HPC) and Artificial Intelligence (AI) works as part of the Advanced Systems team within Research Computing that supports the hardware and system-level software on the University's centralized high-performance computing and other computing for research systems. The Lead Systems Engineer is responsible for engaging with faculty, researchers, vendors, and other information technology (IT) staff to specify, design, install, and administer computing for research systems while also providing insight into trends and technologies supporting the advancement of AI research. The Lead Systems Engineer is also expected to be in tune to trends in computational research and will be asked to evaluate, pilot, and implement systems that advance Princeton's HPC and AI technologies enhancing Research Computing services. The Lead Systems Engineer serves as an expert for HPC and AI hardware and software and helps researchers troubleshoot system level problems with software, data, and job submission. This position requires one to work closely with colleagues at all levels of technical understanding in the Office of Information Technology (OIT) and University academic departments to provide timely and creative support for research computing. The Lead Systems Engineer is required to work well on teams and independently, and will be asked to lead initiatives within Advanced Systems, requiring only general supervision. On-call rotation is a mandatory facet of this role, requiring infrequent off-hour and weekend duty. Responsibilities Operations: Design, maintain, troubleshoot, and refine advanced HPC/AI cluster infrastructure including high performance interconnects, cluster schedulers, and configuration management across research systems. Partner with colleagues in Advanced Data and Storage Management to align designs for scratch filesystems and data management with cluster designs. Develop data-transfer pathways and networks to support AI driven computing workloads. Establish and maintain best practices for cluster management and usage to support AI-driven workloads. Develop documentation for users and technical staff that can be used by the larger community. Develop, enhance, and expand monitoring infrastructure and related protocols for research computing systems. Plan and implement scheduled maintenance of operations, including during off hours. Perform other tasks as assigned. Technical Leadership: Define and drive the institutional technical strategy for advanced AI and data intensive HPC. Bring creativity, foresight, and mature professional judgment in anticipating and solving novel and complex problems, in determining project objectives and requirements, and in developing standards and governance for all research computing platforms. Leveraging expertise in AI technologies, identify, evaluate, and pilot researcher-facing systems that enable the acceleration of research using AI. Lead the implementation and expand adoption of modern, automation-driven infrastructure and cluster management practices. Promote institution wide collaboration as the community expert advising and working with faculty, researchers and vendors on emerging trends and challenges in AI enabled research computing. Cultivate a collaborative, knowledge sharing environment by providing technical mentorship to systems specialists and analysts by sharing designs and operational expertise across data systems and HPC/AI infrastructure. Contribute to the strategic vision for HPC/AI systems; Advise senior leadership and stakeholders on strategic investments, risks, and opportunities related to research infrastructure. Troubleshooting and Problem Resolution: Monitor HPC clusters, networks, and storage systems for abnormalities, and resolve issues. Analyze and solve problems in Linux and HPC/AI computing environments with software, data, and job submissions. Use scripting and programming tools to troubleshoot issues. Qualifications Essential Qualifications: 10+ years of strong experience managing advanced research computing systems. Strong expertise with Linux system administration, installation, and troubleshooting. Advanced experience writing scripts in languages such as bash, Python and/or Perl. Proficient in managing networking in HPC environments. Strong experience managing software in an advanced research computing environment. Experience supporting scheduling and managing jobs (SLURM) in large-scale computing environments. Strong oral and written communication skills, with the ability to proactively engage peers and communicate effectively across a diverse stakeholder community. Strong ability to solve complex and system infrastructure problems, and share expertise with colleagues at all levels. Demonstrated ability to collaborate across teams to solve systems and infrastructure challenges, aligning day to day operational needs with longer term technical and organizational goals as technologies evolve. When provided access to personal, proprietary and/or otherwise confidential data, maintain such data in the strictest confidence and follow procedures to ensure the privacy, security, and proper use of data. Education: Bachelors degree in a related field or equivalent experience. Preferred Qualifications: Experience working in an academic and research settings. Experience supporting AI driven research in open and secure computing environments. Familiarity using and administering data-transfer technologies such as Globus that facilitate the transfer of large datasets. Experience using and supporting parallel file systems that are commonly used in HPC/AI systems. Experience supporting unstructured data in HPC/AI environments. Princeton University is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. The University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly. If the salary range on the posted position shows an hourly rate, this is the baseline; the actual hourly rate may be higher, depending on the position and factors listed above. The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information. PIc3ef4d97aa50-8951

Please note, this position is designated as flexible, which means the selected candidate may be required to report to the assigned office in Greensboro, NC at least part of the time each week. Technical Summary: We're looking for a Principal Engineer Databricks / Analytics to build on the existing foundation and push it further, faster - hardening its security posture, strengthening its operations and resiliency, and scaling it to meet fast-growing demand for data and AI on sensitive health information. This is a hands-on, senior individual-contributor role for a seasoned technical leader who wants to drive a platform that real teams depend on and in partnership with internal stakeholders be the technical authority for how it's run, secured, and evolved. You-ll technically lead administration, security, operations, and self-service feature enablement as a secure, well-run, well-configure foundation and partner with stakeholders to manage catalog and schema design, data curation, and data governance. If running and scaling a secure, resilient data and AI platform for a mission that matters sounds like your kind of challenge, we'd love to talk. Job Summary: This senior level employee is primarily responsible for influencing and leveraging the technical direction of integrated business and/or enterprise application solutions and for serving as an expert for technical teams. This employee is accountable for ensuring software solutions are managed with full adherence to industry best practices. Essential Responsibilities: Drives the execution of multiple work streams by identifying customer and operational needs; developing and updating new procedures and policies; gaining cross-functional support for objectives and priorities; translating business strategy into actionable business requirements; obtaining and distributing resources; setting standards and measuring progress; removing obstacles that impact performance; guiding performance and developing contingency plans accordingly; solving highly complex issues; and influencing the completion of project tasks by others. Practices self-leadership and promotes learning in others by soliciting and acting on performance feedback; building collaborative, cross-functional relationships; communicating information and providing advice to drive projects forward; adapting to competing demands and new responsibilities; providing feedback to others, including upward feedback to leadership; influencing, mentoring, and coaching team members; fostering open dialogue amongst team members; evaluating and responding to the strengths and weaknesses of self and unit members; and adapting to and learning from change, difficulties, and feedback. Provides insight into recommendations for complex technical solutions that meet design and functional needs. Serves as an expert for innovative technical solutions that meet design and functional needs. Collaborates with architects and/or software consultants to ensure functional specifications are converted into flexible, scalable, and maintainable solution designs. Provides technical expertise for the development, configuration, or modification of integrated business and/or enterprise application solutions within various computing environments by providing insight, guidance, and an escalation point for the design and coding of component-based applications. Translates business requirements and functional specifications into physical program designs, code modules, stable application systems, and software solutions by partnering with Business Analysts and other team members to understand business needs and functional specifications. Leverages networks to drive collaboration between technical teams, architects, and/or software consultants, and ensure functional specifications are converted into flexible, scalable, and maintainable solution designs. Builds and maintains trusting relationships with internal customers, third party vendors, and senior management to ensure the alignment, buy-in, and support of diverse project stakeholders. Oversees the review and implementation of recommendations of technical solutions across multiple functions. Takes accountability for ensuring specific interfaces, methods, parameters, procedures, and functions support technical solutions and are aligned with architectural designs. Derives an overall strategy of data management, within an established Information Architecture, that supports the business model. Identifies information structures and detail to enable the development and secure operation of new information services. Takes overall responsibility for planning effective information storage, sharing, and publishing within the organization. Sets strategies for effective use of database technology taking account of the complex interrelations between hardware/software. Provides specialist expertise in the development, use, or operation of database management system tools and facilities. Provides expert knowledge in the selection, provision, and use of database architectures, software, and facilities, typically taking responsibility for a team of technical staff. Facilitates and serves as a technical expert for project teams throughout the release schedule of business and enterprise software solutions. Provides expertise and guidance to team members for systems incident responses for complex issues. Fosters and leverages partnerships with IT teams and vendors to ensure written code adheres to company architectural standards, design patterns, and technical specification. Maintains and enhances technical expertise and knowledge of industry trends by attending participating conferences, and developing a network with other IT industry experts. Leads consultation efforts to help ensure new and existing software solutions are developed with insight into industry best practices, strategies, and architectures. Provides expert technical advice and recommendations to others within the organization on matters related to software engineering, including market trends, and new programs and applications. Reviews and verifies resource estimates for complex technical design, coding, and testing efforts. Identifies specific interfaces, methods, parameters, procedures, and functions, as required, to support technical solutions, serving as an escalation point for complex or unresolved issues related to requirements translation. As part of the IT Engineering job family, this position is responsible for leveraging DEVOPS, and both Waterfall and Agile practices, to design, develop, and deliver resilient, secure, multi-channel, high-volume, high-transaction, on/off-premise, cloud-based solutions. Minimum Qualifications: Minimum six (6) years experience working on project(s) involving the implementation of solutions applying development life cycles (e.g., SDLC). Minimum four (4) years in a technical leadership role with or without direct reports. Bachelors degree in Computer Science, CIS, or related field and Minimum ten (10) years experience in software development or a related field. Additional equivalent work experience may be substituted for the degree requirement.