Data Engineer - ETL/Databricks: Scalable Pipelines

McKesson Corporation; Overland Park (KS); On-site; USD 80,000 - 134,000; Full time

Job summary

McKesson is seeking a Data Engineer (ETL/Databricks) to join the Business Operations data engineering team. This junior-level role focuses on designing, troubleshooting, and documenting data flows across systems and our data warehouse.

Strong Databricks, SQL, and Python skills are required. You will assist in end-to-end ETL development, data analytics, and collaborating with cross-functional teams to deliver scalable data solutions.

Qualifications

• Bachelor's degree in Computer Science or related technical field, or equivalent experience.
• 2+ years of experience with Databricks and building data pipelines ingesting customer files.
• 2+ years of experience with SQL queries and data manipulation.
• 2+ years experience on Databricks or similar cloud data platforms.
• Experience with Python and BI concepts.
• Understanding of RDBMS, data types, and performance tuning.

Responsibilities

• Build and maintain scalable data pipelines to ingest and automate customer-provided files using ETL tools.
• Interface with cross-functional teams to extract, transform, and load data from diverse sources.
• Explore and implement AWS technologies to enhance data capabilities and efficiency.
• Investigate and resolve data issues, providing support and troubleshooting.
• Collaborate across teams to understand business needs and propose data solutions.
• Participate in code reviews and continuous improvement of data engineering practices.
• Ensure data quality, integrity, and security across pipelines.
• Document data flows, specifications, and procedures.
• Support deployment and integration of data solutions into production.

Skills

Databricks

SQL

Python

ETL

AWS

Git

Agile

Education

Bachelor's degree in Computer Science or related technical field

Tools

Talend

Informatica

SSIS

DataStage

Job description

McKesson is seeking a Data Engineer (ETL/Databricks) to join the Business Operations data engineering team. This junior-level role focuses on designing, troubleshooting, and documenting data flows across systems and our data warehouse.

Strong Databricks, SQL, and Python skills are required. You will assist in end-to-end ETL development, data analytics, and collaborating with cross-functional teams to deliver scalable data solutions.