Data Engineer – Databricks

McKesson

. Design and develop data pipelines that integrate proprietary and third-party data sources to support commercial data products and proof-of-concept initiatives .

Posted 4/24/2026full-timeColumbus • Ohio, Texas • 🇺🇸 United StatesMid-LevelSenior💰 $106,500 - $177,500 per yearWebsite

Tech Stack

Tools & technologies

CloudSQL

About the role

Key responsibilities & impact

Design and develop data pipelines that integrate proprietary and third-party data sources to support commercial data products and proof-of-concept initiatives
Build, optimize, and maintain data transformation pipelines with a focus on scalability, reliability, and performance
Work with structured and unstructured data to prepare enhanced datasets for internal stakeholders and external use cases
Write SQL and/or use cloud-based tools such as Databricks (preferred) or Snowflake to cleanse, standardize, and transform data aligned to business use cases
Collaborate with Product, Analytics, and external-facing teams to translate commercialization objectives into scalable data solutions
Contribute to data models and reusable pipeline patterns that support future data product expansion
Partner with application and platform teams to understand upstream data flows and implement efficient pipeline solutions
Monitor and support data quality, pipeline performance, and reliability for production data assets

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Information Systems or related field, or equivalent experience
4+ years of experience in data engineering, analytics engineering, or modern data platform environments
Hands-on experience building and maintaining data pipelines in cloud environments (Databricks, Snowflake, or similar)
Strong SQL skills and experience transforming data for analytical, reporting, or product-oriented use cases
Experience integrating data from multiple internal and third-party systems
Experience working with structured and semi-structured data in batch and/or streaming environments
Working knowledge of data modeling principles and data quality practices
Experience supporting analytics, reporting, or externally facing data use cases

Benefits

Comp & perks

Competitive compensation package
Annual bonus opportunities
Long-term incentive opportunities
Health insurance
Paid time off

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringdata transformationSQLdata modelingdata qualitydata cleansingdata integrationdata pipelinesanalytics engineeringcloud environments

Soft Skills

collaborationcommunicationproblem-solvingorganizational skillsattention to detail

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Information Systems