Company Overview Headquartered in Dublin, Ohio, Cardinal Health, Inc. (NYSE: CAH) is a global, integrated healthcare services and products company that connects patients, providers, payers, pharmacists, and manufacturers to deliver integrated care coordination and improved patient outcomes. With nearly 100 years of experience and more than 50,000 employees across nearly 60 countries, Cardinal Health ranks among the top 20 companies in the Fortune 500. Department Overview Digital Partner designs and delivers automation, analytics, and artificial intelligence solutions that enable measurable savings, operational efficiencies, and revenue growth. The team partners closely with the business to drive innovation by leveraging emerging technologies and translating them into scalable, differentiated capabilities. Role Overview The Senior Data Engineer will play a lead role in designing, building, and supporting enterprise-grade data and analytics platforms. This role is responsible for ensuring data platforms are secure, scalable, reliable, and aligned to evolving business needs. The position requires strong technical leadership, deep expertise in data engineering and database technologies, and the ability to collaborate across cloud, shared services, offshore development teams, and business stakeholders. The role also contributes to platform modernization initiatives, including re-architecting legacy data assets to cloud-native solutions. Responsibilities - Lead the technical design, development, and maintenance of data platforms supporting enterprise analytics and reporting. - Define and enforce standards for database design, data movement, performance optimization, and platform architecture. - Analyze, re-architect, and migrate legacy database objects to cloud platforms (e.g., GCP BigQuery, Databricks). - Partner with business stakeholders to translate analytic requirements into scalable, dependable technical solutions. - Ensure technical specifications align with enterprise architecture standards and business objectives. - Collaborate with Cloud, Shared Services, offshore teams, and external vendors to deliver high-quality solutions. - Monitor platform health, identify risks, and proactively communicate status, issues, and remediation plans to leadership. - Ensure compliance with data security, governance, and audit requirements. - Develop and promote best practices for data engineering, including naming conventions, scripting, coding standards, and CI/CD practices. - Mentor and provide technical guidance to a team of 1–5 engineers. - Continuously identify opportunities for platform, process, and performance improvements. Qualifications - Advanced experience with enterprise data platforms such as GCP BigQuery, AWS Redshift, Databricks. - Strong expertise in database design, data modeling, and performance optimization. - Expert-level experience developing database objects including SQL, stored procedures, views, partitioning, indexing, and query optimization. - Experience building semantic layers for analytics consumption using tools such as AtScale and/or LookML. - Proven experience working on large-scale, business-critical data platforms. - Experience leading or mentoring small development teams. - Hands-on experience with DevSecOps and CI/CD practices, including tools such as GitHub, Airflow, and pipeline automation. - Strong understanding of Agile development methodologies. - Excellent written and verbal communication skills, with the ability to communicate complex technical concepts to non-technical stakeholders. - Hands-on experience with Python scripting for data engineering and automation. - Experience with enterprise scheduling tools such as Airflow, UC4, AutoSys, or Control-M. - Exposure to AI/ML-driven data platforms, including feature engineering and data pipelines supporting analytics or machine learning workloads. - Experience with GitHub Co-Pilot, Large Language Models (LLMs) and Generative AI (GenAI) concepts, use cases, or integrations (e.g., leveraging data platforms for AI-driven insights or automation). - Familiarity with cloud-native AI/ML services and modern data ecosystem patterns. - Prior experience working with external system integrators or managed service providers. Anticipated salary range: $123,400 - $176,300 Bonus eligible: yes Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being. - Medical, dental and vision coverage - Paid time off plan - Health savings account (HSA) - 401k savings plan - Access to wages before pay day with myFlexPay - Flexible spending accounts (FSAs) - Short- and long-term disability coverage - Work-Life resources - Paid parental leave - Healthy lifestyle programs Application window anticipated to close:5/20/2026 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate’s geographical location, relevant education, experience and skills and an evaluation of internal pay equity. Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply. Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law. To read and review this privacy notice click here

Posting Reason: New Position Location where work is to be performed: Main Campus Session: 2025 Spring/Summer Semester | Trimestre printemps/été Faculty: Faculté des sciences sociales / Faculty of Social Sciences Unit: Department of Criminology_ST Job Classification: Corrector (CUPE) Posting Type: Cours précis / Specific course Course Title: Police in Modern Society Course Code: CRM2305 Section: A00 Supervisor name (if known): Date Posted (YYYY/MM/DD): 2026/04/17 Applications must be received BEFORE (YYYY/MM/DD): 2026/05/02 Description of tasks (hours): Unless specified below, specific allocation of hours to various tasks should be articulated in a description of work negotiated and signed by you and the supervising professor prior to the commencement of work. Recherche / Research:0 Préparation / Preparation:0 Contact avec étudiants / Contact with Students:0 Correction - Notation / Grading:0 Surveillance / Proctoring:0 Formation / Training:0 Autre / Other:0 Number of positions: 1 Expected Enrolment: 142 Work Start Date: May 04, 2026 Work End Date: June 30, 2026 Total Work Hours: 78 Hourly Rate: Correcteur / Corrector : $30.53 ou/or $36.63 (2024-2025) The academic year starts on September 1 and ends on August 31. Undergraduate students will be paid at the lower rate; while graduate students will be paid at the higher rate. These rates do not included vacation pay nor statutory pay. These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification. Language of Work: Anglais | English Requirements and Nature of Work: Nature du travail | Nature of work : Une combinaison de tâches reliées à la correction de travaux et d’examens. L'étudiant(e) doit s’engager à respecter les échéanciers de travail établis par le superviseur. Various responsibilities in relation to the marking of papers and exams. The student must meet the deadlines set by the supervisor. Qualifications minimales | Minimum Qualifications : Baccalauréat avec spécialisation en criminologie ou son équivalent. La priorité sera donnée aux candidat(e)s conformément aux articles 18.5 et 18.6. BA Honours in Criminology or equivalent. Priority will be given to candidates in accordance with articles 18.5 and 18.6. Tous les employé(e)s de l'Université d'Ottawa sont tenu(e)s par la loi provinciale de mener à bien les formations de base obligatoires offertes par l'Université. La liste des formations requises peut être modifiée par une loi provinciale. Si on vous invite à poursuivre les étapes du processus de sélection, veuillez nous aviser de tout besoin nécessitant des mesures d'adaptation particulières. Nous pouvons consulter le secteur Santé et mieux-être des Ressources Humaines, au besoin. Les renseignements communiqués seront traités avec respect et confidentialité. All University of Ottawa employees are required under provincial law to successfully complete all mandatory legislated training offered by the University. The list of training requirements may be modified by provincial law. If you are invited to continue the selection process, please notify us of any particular adaptive measures you might require. We may consult with the Health and Wellness sector of Human Resources, if needed. Any information you send us will be handled respectfully and in complete confidence. Session : Session de printemps (Session B) : 4 mai au 12 juin (période d'examens du 1er au 12 juin) Spring Session (Session B) : May 4 to June 12 (Exam period from June 1st to June 12) Notes : Ce cours est en en mode synchrone, à distance. This course is synchronous, virtually. Additional Information and/or Comments: La répartition des heures de travail sera déterminée avec le ou la superviseur | The allocation of duty hours will be determined with supervisor All University of Ottawa employees are required under provincial law to successfully complete all mandatory legislated training offered by the University. The list of training requirements may be modified by provincial law. If you are invited to continue the selection process, please notify us of any particular adaptive measures you might require. We may consult with the Health and Wellness sector of Human Resources, if needed. Any information you send us will be handled respectfully and in complete confidence. The hiring process will be governed by the current CUPE 2626 collective agreement; you can click here to find out more. The University of Ottawa embraces diversity and inclusion in the workplace. We are passionate about our people and committed to employment equity. We foster a culture of respect, teamwork and inclusion, where collaboration, innovation, and creativity fuel our quest for research and teaching excellence. While all qualified persons are invited to apply, we welcome applications from qualified Indigenous persons, racialized persons, persons with disabilities, women and LGBTQIA2S+ persons. The University is committed to creating and maintaining an accessible, barrier-free work environment. The University is also committed to working with applicants with disabilities requesting accommodation during the recruitment, assessment and selection processes. Applicants with disabilities may contact the academic unit to communicate the accommodation need. Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to be fully vaccinated against Covid-19 as defined in Policy 129 – Covid-19 Vaccination. This policy was suspended effective May 1, 2022 but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts.

About Data Society Group At Data Society Group, we provide the highest quality, leading-edge, industry-tailored data and AI training and solutions for Fortune 1,000 companies and federal, state, and local governmental organizations. We partner with our clients to educate, equip, and empower their workforces with the skills they need to achieve their goals and expand their impact. Our portfolio of brands and services sits at the intersection of people, data, and AI and consists of: - CDO Magazine, the trusted voice of global data and AI leadership - The Data Lodge, a pioneer in data literacy and cultural transformation - Data Society, delivering applied AI education and custom-built solutions - InspiredMinds!, a convening force behind the world’s most inclusive AI community We are working to empower the workforces of the future; if you’re as passionate about transforming workplaces with the power of Data & AI as we are, we’d love to hear from you! About the Role The Data Engineer is responsible for building scalable, performant data pipelines that power critical operational and analytical applications. The engineer must be able to work closely with our data science teams to build the supporting data scaffolding to orchestrate, test, and monitor data systems. This is a customer-facing role within a cross-functional team so the ability to manage timelines, work both autonomously and collaboratively, and communicate effectively are a must. As this position will help to support federal contracts with security requirements, you must be a US Citizen to qualify. Occasional travel to client offices in Richmond, VA will be required, and preference will be given to local DMV area candidates. This is a full-time, remote/work from home, benefits eligible position. Responsibilities: - Ability to build a full data pipeline from data ingestion to processing/transformation to load to visualization and analysis. - Design and manage large-scale data warehouses, lakehouses, and/or data marts - Build and optimize data transformation pipelines using tools like dbt to support data flow from ingestion through analytics - Champion data governance principles and quality standards, ensuring data lineage, documentation, and metadata are maintained - Create efficient, performant SQL-based data queries and Python-based data processing jobs - Demonstrate ability to balance computational load, performance, and cost Skills you bring: - Advanced Degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related other quantitative or mathematical disciplines. - 5+ years of data and analytics engineering in cloud environments - Expertise in SQL, Python, and schema design with experience in data cataloging and governance tools - Experienced with data transformation and ETL best practices - Experienced with data orchestration tools like Airflow, transformation frameworks like dbt, and cloud deployment tools like Terraform. - Demonstrated exceptional oral and written communication skills. - The ability to work independently and in a team environment. - The ability to work effectively across functions, levels and disciplines. - Strong problem solving and critical thinking skills. - Superior team-working skills, and a desire to learn, contribute, and explore. - Experience with Snowflake, Databricks, Kafka, Flume, Spark, or Flink is a plus Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

Join us in advancing safer, consistent, quality healthcare for all. Job Summary: Under the direction of the Manager or Senior Manager, the Senior Clinical Data Specialist plays a vital role in delivering quality solutions to hospital partners across the country, approaching each hospital engagement as an opportunity to apply your expertise with precision. This is a unique opportunity to become a part of our team during a milestone moment in our growth, benefiting from our deep cancer registry experience and employee-centric leadership. Roles and Responsibilities: - Apply specialized, clinical knowledge to hospital partners: categorize, code, summarize, interpret and calculate registry/case information from nuanced, patient medical records. - Ensure quality submission of all data in specified registries or measure data repositories, maintaining a high accuracy threshold. - Prioritize, organize, and meet tight deadlines for multiple concurrent tasks and team requests; uses tact and judgement to manage expectations, flag obstacles and propose solutions in a timely manner. - Navigate new technical systems: electronic medical records (EMR) and registry/case entry tools; use team resources to troubleshoot technical issues with systems and applications with a focus on solutions. - Contribute to team best practices, data dictionaries, abstraction guidelines, and other business rule documents; identifies process improvement opportunities to help streamline tasks and processes. - Keeps up to date on mandated regulatory/publicly reported data requirements as specified by federal, state, payer and other agencies. - Any or other additional responsibilities as assigned Required Skills and Abilities: - Strong analytical and critical thinking skills to approach problems in a systematic method using the ability to synthesize data and suggest recommendations - Demonstrates high standards for accuracy and attention to detail - Demonstrates technical savvy and strong desire to learn new systems and technology - Intermediate proficiency with MS Office (Microsoft Excel) - Thrives working independently and takes ownership of projects/patient records - Consistently and clearly communicates, adjusting style and tone as needed to effectively collaborate with hospital partners, peers, team leads and others - Demonstrates strong self-organizational and time management skills to concurrently manage multiple accounts, adjusting as needed to shifting timelines and priorities - Adapts to changes in hospital partner timelines, requirements, and project assignments - Maintains a high degree of responsibility in keeping PHI secure and confidential - Applicants for employment with Q-Centrix must be legally authorized to work in the United States now or in the future without sponsorship. Education and Experience: - Direct abstraction experience within the STS General Thoracic (GTS) or Adult Cardiac (ACS) registry within the last 12 months. - Exposure to multiple patient medical record systems (EMRs) and clinical databases. - Direct clinical experience (preferred). - RN or LPN Credential or substantial clinical experience (preferred). Total Rewards: At Q-Centrix, our purpose—safer, consistent, quality healthcare for all—drives everything we do. To accomplish this important work, we need to attract, engage, and retain a talented team by providing a compelling, equitable rewards package comprised of an inclusive culture, flexible work environment, learning and development opportunities, competitive pay that rewards high performance, and robust benefits that support health and financial wellness. Add to this package a supportive community of people who help each other not only do meaningful work, but learn, grow, and have fun while doing so, and you get an organization that has earned the Great Place to Work distinction multiple years in a row!​ The target wage range for this role is $27.00 - $32.00 per hour. Individual wage rates within this range are based on multiple factors including but not limited to skills, experiences, licensure, certifications, and other business and organizational considerations. Wage ranges are reviewed, at minimum, annually and all team members are eligible for performance-based wage rate increases annually. The Q-Centrix compensation plan is productivity and accuracy focused, therefore, actual compensation could be higher or lower than target, dependent upon the team member’s performance. In addition to our inclusive and innovative working environment and competitive pay, part-time* team members enjoy a fully remote work environment with a flexible schedule. *Team members who are committed to work 29 hours or fewer each week are considered part-time Commitment to Diversity, Equity, Inclusion and Belonging: At Q-Centrix (An MRO Company), we hire people who love learning, value innovation, and believe in our purpose of safer, consistent, quality health care for all. We applaud qualified applicants who are accountable and committed to producing quality work. As an Equal Opportunity Employer, we support and value diversity, dignity, and respect in our work environment, and are committed to creating an inclusive environment in which everyone can thrive. We employ people based on the needs of the business and the job, and their individual professional qualifications. Here’s what does not impact our employment decisions: race, religious creed, religion, color, sex, sexual orientation, pregnancy, parental status, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status, health, marital, civil union or domestic partnership status, or any status or characteristic protected by the laws or regulations in locations where we operate. If you are an individual with a qualified disability and you need an accommodation during the interview process, please reach out to your recruiter. Candidate Privacy Statements