Cardinal Health

HQ
Dublin, OH, US
Total Offices: 2
44,000 Total Employees

Similar Companies Hiring

Software • Healthtech • Hardware • Analytics
New York, NY, US
25 Employees
Telehealth • Social Impact • Pharmaceutical • Healthtech
New York City, NY, US
13 Employees
Pharmaceutical • Logistics • Healthtech
11 Offices
46000 Employees

Benefits at Cardinal Health

Financial + Retirement

401(K)

Company equity

Employee stock purchase plan

Charitable contribution matching

Performance bonus

Child Care + Parental Leave

Adoption Assistance

Family medical leave

Office Perks

Company-sponsored outings

Fitness stipend

Health Insurance + Wellness

Dental insurance

Flexible Spending Account (FSA)

Health insurance

Life insurance

Vision insurance

Mental health benefits

Professional Development

Job training & conferences

Tuition reimbursement

Vacation + Time Off

Paid volunteer time

Paid holidays

Paid sick days

Culture

Remote work program

Search the 31 jobs at Cardinal Health

2 Hours Ago
Īnd, Chamba, Himāchal Pradesh, IND
Healthtech • Pharmaceutical
The role focuses on API development, ensuring the integration and functionality of APIs within existing systems. Candidates should demonstrate the ability to work collaboratively, contributing to projects that enhance customer solutions. The position supports an inclusive work culture.
Healthtech • Pharmaceutical
The Engineer in Application Development & Maintenance is responsible for developing, enhancing, and maintaining software systems. This role involves programming and configuring applications to meet internal and external business needs, while working on complex projects. The engineer partners with business leaders to assess user needs and contribute innovative solutions aligned with organizational objectives.
3 Hours Ago
Īnd, Chamba, Himāchal Pradesh, IND
Healthtech • Pharmaceutical
The Data Engineer will design, build, and operationalize large-scale enterprise data solutions using Google Cloud Platform technologies. Responsibilities include data transformation, ingestion, and curation, creating production data pipelines, and optimizing large-scale data lakes.