Data Engineer, Digital Solutions Finance

Cardinal Health; Austin (TX); On-site; USD 95,000 - 122,000; Full time

Benefits offered by this job

Medical, dental and vision coverage

Paid time off plan

Health savings account (HSA)

401k savings plan

Access to wages before pay day with my

Flexible spending accounts (FSAs)

Disability coverage

Work-Life resources

Paid parental leave

Healthy lifestyle programs

Job summary

Cardinal Health is seeking a Data Engineer to design, develop, and maintain scalable data pipelines and architectures that support analytics for Finance stakeholders. The role emphasizes Databricks, GCP, and modern cloud data solutions to ingest, process, and transform large datasets.

You will collaborate with cross-functional teams to deliver reliable, secure data assets. The ideal candidate has strong SQL skills, experience with Databricks, and a solid background in cloud data warehouses; an

Qualifications

• 4-8 years of experience in data engineering or related field.
• 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 data accuracy, completeness, and reliability.
• 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.

Skills

SQL

Python

Scala

Java

Databricks

GCP

BigQuery

Data modeling

ETL/ELT

Data pipelines

Data warehousing

Education

Bachelor’s degree in Computer Science/IT or related field

Tools

BigQuery

Cloud Storage

Dataflow

IAM

Job description

US-Nationwide-FIELD

Full time

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.

Data Engineering ensures raw data is usable and accessible for the organization. Data Engineering encompasses numerous specialties of data acquisition, integration, and provisioning.

Job Overview

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.

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.

Qualifications

• 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.

What is expected of you and others at this level

• Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects
• May contribute to the development of policies and procedures
• Works on complex projects of large scope
• Develops technical solutions to a wide range of difficult problems
• Solutions are innovative and consistent with organization objectives
• Completes work; independently receives general guidance on new projects
• Work reviewed for purpose of meeting objectives
• May act as a mentor to less experienced colleagues

Anticipated salary range: $94,900 - $122,400

Bonus eligible: No

Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.

• 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

The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity.

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.

Headquartered in Dublin, Ohio, Cardinal Health, Inc. (NYSE: CAH) 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.

We are a crucial link between the clinical and operational sides of healthcare, delivering end-to-end solutions and data-driving insights that advance healthcare and improve lives every day. With deep partnerships, diverse perspectives and innovative digital solutions, we build connections across the continuum of care.

With more than 50 years of experience, we seize the opportunity to address healthcare's most complicated challenges - now, and in the future.