Headquartered in Dublin, Ohio, Cardinal Health, Inc. (NYSE: CAH) is a global, integrated healthcare services and products company, providing customized solutions for hospitals, health systems, pharmacies, ambulatory surgery centers, clinical laboratories and physician offices worldwide.
The company provides clinically proven medical products and pharmaceuticals and cost-effective solutions that enhance supply chain efficiency from hospital to home. Cardinal Health connects patients, providers, payers, pharmacists and manufacturers for integrated care coordination and better patient management. Backed by nearly 100 years of experience, with approximately 50,000 employees in 46 countries, Cardinal Health ranks among the top 20 on the Fortune 500.

ACCOUNTABILITIES:

Required proven experience in the following:

• Engineering experience in Big Data systems, Data Analytics and Data Integration related fields
• GCP experience in Cloud Infrastructure, Data Integration, Data Engineering, Cloud Analytics solutions, and experience with operationalizing enterprise scale solutions
• Architecting and designing data lakes on GCP cloud analytics, BI and Machine learning workloads
• Middleware technologies, and Data Ingestion technologies like GCP DataFlow, Fusion, and AirFlow
• Writing complex SQL queries, stored procedures, etc.
• Agile development skills.
• CI/CD pipelines such as Concourse, Jenkins and Terraform technologies
• GCP Cloud cost optimization and authoring performance efficient queries

Strongly Preferred:

• Oncoloy data experience
• Multi-Cloud Experience
• Experience with semantic layer technologies such as AtScale

Anticipated salary range: $121,600 - $173,700
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: 7/20/2025 *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

• Data Architecture Design: Designing and implementing Data Platforms, Data Pipeline(integration) technologies, and Common Data Services using cloud native integration and analytics technologies. Design the data infrastructure for scale and resiliency with monitoring/alerts in place
• Technical Leadership: Provide technical guidance to data engineering teams, mentoring junior engineers on best practices for data pipeline development, data modeling, and performance optimization. Assist with integration practice integration engines to the data infrastructure.
• Data Governance: Work with data quality and information security teams to help define data quality standards, data governance policies, and data security measures to ensure data integrity and compliance.
• Hands-On Experience: Creating datasets for Machine learning algorithms and data analysis. Design and build low-code/no-code data pipeline frameworks to support large scale ingestions and practice integrations. Optimize data pipelines for cost optimized, large scale data lake implementations.
• Work closely and collaboratively with other members of the analytics teams including data scientists, business analysts, and product teams to define requirements, mine and analyze data, integrate data from a variety of sources.
• Perform unit and integration data testing.
• Perform detail assessments of current state data platforms and drive enhancements and optimization activities.
• Participate in implementation of BI visualizations
• Lead data engineering projects, including scoping, planning, execution, and monitoring, ensuring successful delivery of data solutions aligned with business requirements.
• Implement Common Data Services (e.g., Data Orchestration using AirFlow, Data Governance capabilities using Collibra) to support reuse across business functions.