Data Engineer, Digital Solutions Finance

Cardinal Health

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Salary
$94,900–$122,400 / yr
Posted
16 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $172k
This role $109k
$81k most similar roles pay here $226k

This role pays less than 92% of similar roles. Most pay $131,991–$211,900 — the shaded band above. At the midpoint, this role pays about $109k versus about $172k for comparable roles.

Based on 240 similar postings.

Employer

About Cardinal Health

Cardinal Health is a global healthcare services and products company specializing in pharmaceutical distribution, medical products, and supply chain solutions for healthcare providers and pharmacies. Industry: Healthcare Distribution & Services

Cardinal Health currently has 36 open roles on FindRole.

Listed pay typically runs $94,900–$135,600 across 32 roles with salary data.

Most-posted roles

View all roles at Cardinal Health

At a glance

TL;DR · Data Engineer, Digital Solutions Finance

Data Engineer, Digital Solutions Finance As a member of 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 be responsible for ingesting, processing, and transforming large-scale datasets while implementing data quality checks, monitoring, and alerting mechanisms. The role involves migrating legacy workflows to modern cloud platforms and performing performance tuning to optimize processing times and minimize infrastructure costs. You will utilize Databricks with Spark, Scala, or Python, alongside Google Cloud Platform services including BigQuery, Cloud Storage, and Dataflow. Required skills include proficiency in SQL, data modeling, and ETL/ELT processes. This role focuses on ensuring raw data is usable and accessible to provide high-quality datasets for the organization's internal reporting and business intelligence solutions.

What does a Data Engineer earn?

Median $183138 from 214 postings across 58 companies.

See salary data

What you'll do

  • Design, build, and optimize scalable data pipelines using Databricks and Google Cloud Platform services.
  • Ingest, process, and transform large-scale datasets to support Finance stakeholder requirements.
  • Implement data quality checks, monitoring, and alerting mechanisms to ensure data accuracy and reliability.
  • Perform performance tuning of key processes to optimize processing times and reduce cloud infrastructure costs.
  • Migrate legacy data workflows to modern cloud platforms like BigQuery and Cloud Storage.
  • Participate in code reviews and technical design discussions to establish engineering best practices.
  • Develop high-quality datasets by translating requirements from data scientists, analysts, and business stakeholders.

What we're looking for

  • 4-8 years of experience.
  • Bachelor’s degree in Computer Science, Information Technology, or a related field (preferred).
  • Strong proficiency in SQL and at least one programming language such as Python, Scala, or Java.
  • Hands-on experience developing data solutions using Databricks (preferred).
  • Solid experience working within the Google Cloud Platform ecosystem, particularly with BigQuery, Cloud Storage, and IAM (preferred).
  • 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.

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