Cardinalhealth

Cloud Database Engineer

United States · Work style not stated · Full time

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About the role

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  • EmployerCardinalhealth
  • LocationUnited States
  • Work styleWork style not stated
  • Employment typeFull time
  • Employer posted

For more than 20 years, Cardinal Health™ WaveMark™ Solutions has helped health systems automate and simplify clinical and supply chain workflows, enabling clinicians to spend less time managing supplies and more time focused on patient care. WaveMark™ Solutions is a leading SaaS-based clinical supply chain and workflow management platform that helps healthcare providers optimize the management of medical supplies across the continuum of care. By combining advanced technologies such as RFID and barcode tracking, cloud-based software, predictive analytics, and automated inventory management with expert support services, WaveMark delivers real-time visibility and control over supplies ranging from everyday consumables to high-value implants and devices. Its solutions support operating rooms, procedural labs, clinical laboratories, and nursing units, connecting product usage to the patient record at the point of care while providing actionable insights that improve product availability, streamline clinical workflows, enhance patient safety, reduce costs, and strengthen overall financial and operational performance across health systems.

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Job Summary

The Cloud Database Engineer is responsible for supporting a large, mission-critical healthcare application known as WaveMark Solutions. This role will own production and non-production reliability and uptime, performance, security, automation of routine maintenance tasks and deployments, and backup and disaster recovery strategies for cloud databases. You will be working closely with software development and IT teams driving automation, observability, resilience, and continuous delivery practices.

Location: This is a remote position, and candidates must be located within the United States.

Responsibilities

  • Administer Oracle (primary), MySQL, and PostgreSQL databases in managed cloud environments.
  • Build and manage intelligent monitoring, auditing, logging, and alerting systems to proactively track database health.
  • Establish and maintain operational standards, documentation, and runbooks.
  • Support application deployments and database releases.
  • Analyze and optimize database performance across production and non-production environments.
  • Perform root cause analysis of performance incidents.
  • Design, execute, and automate database refresh processes between production and non-production environments.
  • Design and implement repeatable data masking processes for non-production environments.
  • Collaborate with security, compliance, and application teams to support regulatory audits.
  • Partner with security teams to enhance and enforce data governance, patching, secret management, and access controls.
  • Partner with software development teams to modernize deployment automation and collaborate on modern data movement architectures.
  • Design and test backup, restore, replication, and failure strategies to meet business recovery time and recovery point objectives.

Qualifications

  • Bachelor’s degree in related field, or equivalent work experience, preferred.
  • 5+ years of experience managing production Oracle databases in a regulated healthcare environment preferred.
  • Experience of Oracle database administration and cloud database platforms such as AWS RDS or GCP preferred.
  • Knowledge of database automation, scripting, and deployment processes preferred.
  • Familiarity implementing observability frameworks and telemetry-driven operations preferred.
  • Knowledge of site reliability engineering principles (SLIs, SLOs, error budgets, and automated remediation) preferred.
  • Working knowledge of CI/CD platforms and Infrastructure as Code preferred.
  • Understanding of healthcare compliance standards, such as HIPAA, FedRAMP, or HITRUST preferred.
  • Familiarity with change data capture (CDC) technologies preferred.
  • Experience supporting databases and applications in Kubernetes-based environments preferred.
  • Strong troubleshooting, problem-solving, communication, and documentation skills preferred.

Anticipated salary range: $96,300 - $137,600

Bonus eligible: No

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: 10/16/2026 *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.

#LI-Remote

#LI-JD3

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 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.

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At a glance

  • Employment typeFull time
  • Employer posted
  • Added to ROLIVA
  • Last checked

Skills in this posting

Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.

AWS GCP Kubernetes PostgreSQL

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