Senior Data Engineer

McKesson Corporation

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $141,336–$184,400 / yr
Posted: 2 days ago
Closes: Jul 15, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $177k

This role $163k

$133k most similar roles pay here $220k

This role pays less than 61% of similar roles. Most pay $142,375–$211,200 — the shaded band above. At the midpoint, this role pays about $163k versus about $177k for comparable roles.

Based on 240 similar postings.

Employer

About McKesson Corporation

McKesson Corporation is a premier American healthcare services company that distributes pharmaceuticals, medical-surgical supplies, and provides technology to the healthcare industry.

McKesson Corporation currently has 9 open roles on FindRole.

Listed pay typically runs $141,336–$184,400 across 5 roles with salary data.

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View all roles at McKesson Corporation

At a glance

TL;DR · Senior Data Engineer

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As a Sr. Data Engineer at McKesson, you will lead the design and development of scalable data solutions supporting analytics, AI, and business intelligence across the organization. Your daily tasks include designing ETL/ELT processes using Apache Spark on Databricks, implementing Delta Lake for transactional integrity, and orchestrating batch and streaming data pipelines. You will collaborate with cross-functional teams to build and optimize data models, integrate emerging AWS technologies, write complex SQL queries, and manage Databricks workspaces. Additionally, you will support data quality initiatives, ensure compliance with governance policies, and mentor junior engineers. The role requires expertise in modern data architecture, proficiency in Python or Scala, Apache Spark, Delta Lake, Unity Catalog, and cloud data warehouses like Redshift, as well as experience with GitLab or Bitbucket for CI/CD practices.

Skills

AWS Databricks Apache Spark Python Scala Delta Lake Unity Catalog Redshift SQL Data Modeling ETL/ELT Gitlab Bitbucket CI/CD Agile Kafka Snowflake PostgreSQL Airflow

What you'll do

Design and maintain scalable data solutions using Apache Spark on Databricks.
Develop ETL/ELT processes for diverse operational systems to the data warehouse.
Implement Delta Lake for transactional integrity in data lakes and warehouses.
Orchestrate batch and streaming data pipelines, ensuring efficient data flow.
Write complex SQL queries for data validation and transformation tasks.
Support data quality initiatives and ensure compliance with governance policies.

What we're looking for

5+ years of data engineering experience with Databricks and AWS.
Proficient in Apache Spark, SQL, Python, and Scala for ETL/ELT processes.
Expertise in Delta Lake, Unity Catalog, and cloud data warehouses like Redshift.
Experience in data modeling, governance, and using orchestration tools (Gitlab/Bitbucket).
Collaborative skills to deliver data solutions with cross-functional teams in Agile environments.
Capable of designing and optimizing scalable data pipelines with Python and Spark on Databricks.
Developed modular, reusable components in Databricks notebooks and workflows for efficiency.

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