Data Engineer, Digital Solutions Finance

Cardinal Health

1d•$94,900 - $122,400

About The Position

As a Data Engineer within the Digital Solutions Finance team, you will design, develop, and maintain robust data pipelines and architecture to support analytical and operational requirements for Finance stakeholders. You will specialize in leveraging Databricks and Google Cloud Platform (GCP) to ingest, process, and transform large-scale datasets. This role requires a strong technical foundation in data engineering, cloud-based data warehouses, and collaborative problem-solving to build reliable, scalable, and secure data solutions.

Requirements

4-8 years of experience, preferred
Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
Strong proficiency in SQL and at least one programming language (Python, Scala, or Java).
Hands-on experience developing data solutions using Databricks, preferred
Solid experience working within the Google Cloud Platform (GCP) ecosystem, particularly with BigQuery, Cloud Storage, and IAM.
Experience with data modeling, ETL/ELT processes, and data warehouse concepts.
Proven ability to work independently, manage multiple priorities, and deliver projects of varying difficulty.

Responsibilities

Design, build, and optimize scalable data pipelines using Databricks (Spark/Scala/Python) and GCP services (such as BigQuery, Cloud Storage, and Dataflow).
Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver high-quality datasets.
Implement data quality checks, monitoring, and alerting mechanisms to ensure the accuracy, completeness, and reliability of data.
Participate in code reviews, technical design discussions, and establish best practices for data engineering within the team.
Perform performance tuning of key processes to optimize processing times and minimize cloud infrastructure costs.
Assist in migrating legacy data workflows to modern cloud platforms.