Cardinal Health

Data Engineering Supervisor

Remote
AWS Azure GCP Databricks Snowflake Hadoop Spark Kafka Python Java Bash SQL MySQL PostgreSQL Docker Kubernetes Splunk Airflow
Description

Sup, Data Engineering

Location: IND07

Time Type: Full time

Job Description

What Data Engineering contributes to Cardinal Health

The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling.

Supervisor for a Data Platform team bridging Operations and Cloud Engineering serves as a Subject Matter Expert (SME) who ensures the stability, reliability, and scalability of internal data products. They act as the primary interface between development, engineering, and business stakeholders to manage incident response and drive operational excellence.
Qualifications

  • 7-10 years of experience, preferred
  • Bachelor’s degree in related field, or equivalent work experience, preferred


What is expected of you and others at this level

  • Coordinates and supervises the daily activities of operations or business staff
  • Administers and exercises policies and procedures
  • Ensure employees operate within guidelines
  • Decisions have a direct impact on work unit operations and customers
  • Frequently interacts with subordinates, customers, and peer groups at various management levels
  • Interactions normally involve information exchange and basic problem resolution
  • Coordinates and supervises the daily activities of operations or business staff
  • Administers and exercises policies and procedures
  • Ensure employees operate within guidelines
  • Decisions have a direct impact to work unit operations and customers
  • Frequently interacts with subordinates, customers, and peer groups at various management levels
  • Interactions normally involve information exchange and basic problem resolution
  • Lead and manage L1/L2/L3 operations for the data platform, ensuring 24x7 monitoring and rapid first-level response.
  • Oversee incident resolution, service restoration, and root cause analysis (RCA) for complex outages.
  • Manage the rotation of on-call duties for system support across business and weekend hours if needed.

Key Professional & Technical Skills:

Cloud Platforms: Proficiency in AWS, Azure, or GCP administration, including compute, networking (VPC, DNS, TCP/IP), and storage services.

Data Technologies: Strong understanding of unified data platforms (e.g., Databricks, Snowflake) and big data frameworks like Hadoop, Spark, and Kafka.

Programming & Scripting: Advanced skills in Python, Java, or Bash for automating routine operational tasks and building support utilities.

Database Management: Deep expertise in SQL and managing relational (MySQL, PostgreSQL) or NoSQL systems.

DevOps & Automation: Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and monitoring/observability tools like Splunk or Airflow.

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.

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Cardinal Health
Cardinal Health

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