Senior Data Engineer, Digital Partner

Cardinal Health

Dublin, Ohio, US
$123,400 - $176,300; bonus eligible: yes; benefits...
Not specified (assumed office-based due to location and company culture)
Gcp bigquery, aws redshift, databricks experience
Database design and performance optimization
Sql, stored procedures, views, partitioning, indexing
Cardinal Health is seeking a Senior Data Engineer to lead the design and development of enterprise data platforms, focusing on automation, analytics, and artificial intelligence solutions. The ideal candidate should have extensive experience with cloud platforms, database design, and strong technical leadership abilities

Job Summary

  • The Senior Data Engineer will play a lead role in designing, building, and supporting enterprise-grade data and analytics platforms, ensuring they are secure, scalable, and reliable.
  • Responsibilities include analyzing, re-architecting, and migrating legacy database objects to cloud platforms, and collaborating with business stakeholders to translate analytic requirements into technical solutions.
  • Cardinal Health offers a wide variety of benefits and programs to support health and well-being, including medical, dental, vision coverage, paid time off, and a 401k savings plan.

Matching Summary

Match Score: 85

Cardinal Health is seeking a Senior Data Engineer to lead the design and development of enterprise data platforms, focusing on automation, analytics, and artificial intelligence solutions. The ideal candidate should have extensive experience with cloud platforms, database design, and strong technical leadership abilities.

Salary

$123,400 - $176,300; Bonus eligible: yes; Benefits: 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

Skills & Requirements

Must-have

  • GCP BigQuery, AWS Redshift, Databricks experience
  • Database design and performance optimization
  • SQL, stored procedures, views, partitioning, indexing
  • Semantic layers for analytics (AtScale, LookML)
  • Large-scale, business-critical data platforms
  • DevSecOps and CI/CD practices
  • Python scripting for data engineering
  • Enterprise scheduling tools (Airflow, UC4, AutoSys, Control-M)

Nice-to-have

  • AI/ML-driven data platforms
  • GitHub Co-Pilot, LLMs, GenAI concepts
  • Cloud-native AI/ML services
  • Modern data ecosystem patterns
  • Agile development methodologies
  • Mentoring small development teams

Key Requirements

  • Advanced experience with enterprise data platforms
  • Strong expertise in database design, data modeling, and performance optimization
  • Expert-level experience developing database objects
  • Proven experience working on large-scale, business-critical data platforms
  • Experience leading or mentoring small development teams
  • Hands-on experience with DevSecOps and CI/CD practices
  • Strong understanding of Agile development methodologies
  • Excellent written and verbal communication skills
  • Hands-on experience with Python scripting
  • Experience with enterprise scheduling tools
  • Exposure to AI/ML-driven data platforms
  • Experience with GitHub Co-Pilot, LLMs and GenAI concepts
  • Familiarity with cloud-native AI/ML services
  • Prior experience working with external system integrators

Work Rights

Not specified

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