Cloud Data Engineer, Finance Analytics (Databricks + GCP)

Cardinal Health; Northern (KY); Hybrid; USD 95,000 - 122,000; Full time

Benefits offered by this job

Medical, dental and vision coverage

Paid time off plan

401k savings plan

Health savings account (HSA)

Paid parental leave

Flexible spending accounts (FSAs)

Disability coverage

Work-Life resources

Job summary

Cardinal Health is seeking an experienced Data Engineer within the Digital Solutions Finance team to design, develop, and maintain robust data pipelines and architectures. You will leverage Databricks and Google Cloud Platform to ingest, process, and transform large-scale datasets for Finance stakeholders.

You will collaborate with data scientists, analysts, and business partners to deliver high-quality datasets, implement data quality checks, and optimize cloud costs while migrating legacy

Qualifications

• 4–8 years of data engineering experience or equivalent practical experience.
• Strong SQL skills and proficiency in at least one programming language (Python, Scala, or Java).
• Hands-on Databricks experience and GCP ecosystem familiarity (BigQuery, Cloud Storage, IAM).
• Experience in data modeling, ETL/ELT, and data warehouse concepts.

Responsibilities

• Design, build, and optimize scalable data pipelines using Databricks and GCP.
• Collaborate with data scientists, analysts, and stakeholders to deliver datasets.
• Implement data quality checks, monitoring, and alerting for data reliability.
• Participate in code reviews and establish data engineering best practices.
• Perform performance tuning and migrate legacy workflows to cloud platforms.

Skills

SQL

Python

Scala

Databricks

GCP (BigQuery, Cloud Storage, Dataflow

Data modeling

ETL/ELT

Cloud architecture

Independent working

Education

Bachelor’s degree in Computer Science, Information Technology, or related field

Tools

Databricks

BigQuery

Cloud Storage

IAM

Job description

Cardinal Health is seeking an experienced Data Engineer within the Digital Solutions Finance team to design, develop, and maintain robust data pipelines and architectures. You will leverage Databricks and Google Cloud Platform to ingest, process, and transform large-scale datasets for Finance stakeholders.

You will collaborate with data scientists, analysts, and business partners to deliver high-quality datasets, implement data quality checks, and optimize cloud costs while migrating legacy