Senior Analyst, Data Engineering - Platform Engineering
What Data Engineering Contributes to Cardinal Health
The Data & Analytics Function oversees the analytics lifecycle to identify, analyze, and present actionable insights that drive business decisions and create competitive advantage. This function manages enterprise data platforms, data access, governance, reporting, business intelligence solutions, and advanced analytics capabilities.
Data Engineering is responsible for building, maintaining, and optimizing scalable data platforms that enable efficient data ingestion, transformation, orchestration, and consumption across the enterprise. As part of the Platform Engineering team, this role focuses on delivering reliable, secure, automated, and scalable data infrastructure supporting business-critical analytics and data products.
The ideal candidate will contribute to platform operations, cloud-based data engineering solutions, CI/CD automation, and production support while partnering with cross-functional teams to ensure a stable and high-performing data ecosystem.
Qualifications
- 3-5 years of experience in Data Engineering, Platform Engineering, Site Reliability Engineering (SRE), DevOps, or related technical roles.
- Bachelor’s degree in computer science, Engineering, Information Systems, or a related discipline (or equivalent work experience).
- Hands-on experience with Databricks, Apache Spark, and cloud-based data platforms.
- Experience developing, maintaining, and supporting CI/CD pipelines using Harness, Azure DevOps, GitHub Actions, or similar tools.
- Working knowledge of cloud platforms such as Microsoft Azure, Google Cloud Platform (GCP), or AWS.
- Experience with SQL, Python, PySpark, and data engineering best practices.
- Familiarity with source control tools such as Git/GitHub.
- Basic understanding of Infrastructure as Code (IaC) concepts, preferably Terraform.
- Knowledge of platform monitoring, observability, incident management, and operational support processes.
- Understanding of data governance, security, access management, and platform reliability principles.
Key Responsibilities
- Support the design, implementation, and maintenance of enterprise data platform solutions.
- Develop, deploy, and manage data processing workloads using Databricks and Apache Spark.
- Build and maintain CI/CD deployment pipelines using Harness and other DevOps tools.
- Support platform modernization, cloud migration, automation, and continuous improvement initiatives.
- Monitor platform health, performance, and availability and proactively identify opportunities for optimization.
- Investigate and resolve platform issues, deployment failures, and data pipeline incidents.
- Collaborate with Data Engineers, Architects, Product Teams, and Business Stakeholders to deliver reliable data platform capabilities.
- Ensure adherence to security, compliance, governance, and operational standards.
- Participate in production support activities, root cause analysis, and incident resolution processes.
- Contribute to documentation, operational runbooks, and knowledge-sharing initiatives.
- Work closely with global teams to deliver highly available and scalable platform services.
What Is Expected of You and Others at This Level
- Applies foundational technical knowledge and engineering best practices to platform and data engineering tasks.
- Works on projects of moderate scope under guidance from senior engineers and technical leads.
- Troubleshoots and resolves technical issues using established procedures and operational frameworks.
- Demonstrates strong analytical and problem-solving capabilities.
- Continuously develops expertise in Databricks, cloud technologies, DevOps, and platform engineering practices.
- Supports platform reliability, automation, and operational excellence initiatives.
- Effectively collaborates within cross-functional and geographically distributed teams.
- Takes ownership of assigned deliverables and contributes to team success.
Preferred Technical Skills
- Databricks (Workflows, Delta Lake, Unity Catalog)
- Apache Spark / PySpark
- Harness CI/CD Pipelines
- Python
- SQL
- Azure Data Platform, GCP, or AWS
- Git/GitHub
- Terraform
- Monitoring and Observability Tools
- DevOps & Platform Engineering Practices
- Incident and Production Support Management
Work Schedule
This position is part of a global Data Engineering Platform Operations team and requires participation in a rotational shift model to provide support coverage across multiple regions and time zones.
Candidates should be comfortable working in the following rotational shifts based on business needs:
- Morning Shift: 6:00 AM - 3:00 PM
- Afternoon Shift: 1:00 PM - 10:00 PM
- Evening Shift: 5:30 PM - 2:30 AM
Additional Expectations
- Participate in rotational production support and platform operations activities.
- Monitor and support Databricks environments, data pipelines, CI/CD deployments, and platform services.
- Respond to platform incidents, service disruptions, deployment failures, and operational requests within defined SLAs.
- Collaborate effectively with globally distributed platforms, engineering, and business teams.
- Support continuous improvement initiatives focused on automation, reliability, and operational efficiency.
This role offers an excellent opportunity to gain hands-on experience with modern data platforms, cloud technologies, Databricks, DevOps practices, and enterprise-scale data engineering operations.
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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Skills Required
- 3-5 years of experience in data engineering, platform engineering, site reliability engineering, DevOps, or related technical roles
- Bachelor's degree in computer science, engineering, information systems, or a related discipline, or equivalent work experience
- Hands-on experience with Databricks, Apache Spark, and cloud-based data platforms
- Experience developing, maintaining, and supporting CI/CD pipelines using Harness, Azure DevOps, GitHub Actions, or similar tools
- Working knowledge of Microsoft Azure, Google Cloud Platform, or AWS
- Experience with SQL, Python, PySpark, and data engineering best practices
- Familiarity with Git or GitHub source control tools
- Basic understanding of Infrastructure as Code concepts, preferably Terraform
- Knowledge of platform monitoring, observability, incident management, and operational support processes
- Understanding of data governance, security, access management, and platform reliability principles
- Experience with Databricks Workflows, Delta Lake, and Unity Catalog
- Experience with Harness CI/CD pipelines
- Experience with monitoring and observability tools
- Knowledge of DevOps and platform engineering practices
- Experience with incident and production support management
- Availability to participate in rotational morning, afternoon, and evening shifts
Cardinal Health Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cardinal Health and has not been reviewed or approved by Cardinal Health.
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Leave & Time Off Breadth — Paid time off is frequently described as generous, including examples like multiple weeks of vacation, additional sick days, and in some roles even “unlimited” or untracked time off. Parental leave, paid holidays, and volunteer time further broaden the overall leave offering.
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Healthcare Strength — Medical, dental, and vision coverage is positioned as comprehensive, with added supports such as preventive care, telehealth/clinic access, mental health resources, and EAP counseling. Wellness programs and incentives (e.g., premium discounts tied to checkups or healthy lifestyle actions) add to the perceived breadth of healthcare-related support.
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Retirement Support — A 401(k) with company match, along with programs like stock purchase/equity participation and charitable matching, contribute to a stronger total rewards picture beyond base pay. Additional financial supports such as disability coverage and early wage access also enhance the overall package.
Cardinal Health Insights
What We Do
Cardinal Health is a distributor of pharmaceuticals, a global manufacturer and distributor of medical and laboratory products, and a provider of performance and data solutions for healthcare facilities. With 50 years in business, operations in more than 35 countries and approximately 44,000 employees globally, Cardinal Health is essential to care. We are navigating the complexities of healthcare and providing scaled solutions to help our customers thrive in a changing world. We strive to be a trusted healthcare partner by driving growth in evolving areas of healthcare, while building upon our distribution, products, and solutions to meet customer needs.
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