Specialist, Data Engineer

Remote in Irving, TX, US • Posted 5 hours ago • Updated 5 hours ago
Full Time
On-site
USD $110,800.00 - 184,600.00 per year
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Health Care
  • FOCUS
  • Reporting
  • Use Cases
  • Data Processing
  • Collaboration
  • Machine Learning (ML)
  • Workflow
  • Documentation
  • Data Engineering
  • Data Security
  • Supervision
  • Data Modeling
  • Extract
  • Transform
  • Load
  • ELT
  • Analytics
  • Python
  • Databricks
  • Snow Flake Schema
  • PySpark
  • Analytical Skill
  • SQL
  • Microsoft Power BI
  • Tableau
  • Apache Airflow
  • Cloud Computing
  • Microsoft Azure
  • Data Quality
  • Testing
  • Performance Tuning
  • Advanced Analytics
  • Data Science
  • Real-time
  • Apache Kafka
  • Data Governance
  • Meta-data Management
  • Internet Recruiting
  • Social Media
  • Credit Cards
  • Gmail
  • Recruiting
  • McKesson

Summary

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.

Job Title

Specialist, Data Engineer

Summary

The Specialist, Data Engineer is a fully competent individual contributor within McKesson's Decision Intelligence organization, responsible for designing, building, and maintaining scalable data pipelines and analytics solutions. This role operates independently with limited direction and partners closely with cross-functional teams to deliver reliable, high-quality data products that enable business insights.
What You'll Do
  • Design, build, and maintain batch and near-real-time data pipelines supporting analytics and reporting use cases.
  • Translate business and analytical requirements into technical data engineering solutions.
  • Develop, optimize, and maintain data transformations, models, and datasets for downstream consumption.
  • Write and maintain complex SQL queries and Python-based data processing logic.
  • Collaborate with Data Architects, Product Managers, Analysts, and Data Scientists to support analytics and ML initiatives.
  • Ensure data quality, reliability, and performance across data pipelines and platforms.
  • Implement testing, monitoring, and basic observability for data workflows.
  • Troubleshoot data issues and support production data pipelines as needed.
  • Contribute to documentation, standards, and best practices within the data engineering team.
  • Follow enterprise data, security, and governance standards in all solutions.
What You Bring
  • Strong hands-on experience building and supporting data pipelines in enterprise environments.
  • Ability to work independently on complex tasks with minimal supervision.
  • Solid understanding of data modeling, ETL/ELT patterns, and analytics enablement.
  • Experience partnering with technical and business stakeholders to deliver data solutions.
Technical Skills
  • Proficiency in SQL and Python.
  • Hands-on experience with modern data platforms and tools such as:
    • Databricks, Snowflake, Azure Data Factory
    • PySpark, analytical SQL
    • Power BI and/or Tableau
    • Apache Airflow and/or dbt
  • Experience working with structured and semi-structured data.
  • Familiarity with cloud platforms (Azure preferred).
  • Understanding of data quality, testing, and performance optimization concepts.
Minimum Requirements
  • Degree or equivalent and typically requires 4+ years of relevant experience.
Preferable Skills & Experience
  • Experience supporting advanced analytics or data science workloads.
  • Exposure to real-time or event-driven data pipelines (Kafka / Event Hub).
  • Familiarity with data governance, metadata, or lineage tools.
  • Experience in large, matrixed enterprise environments

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.

Our Base Pay Range for this position

$110,800 - $184,600

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:

McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.

McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) Resumes or CVs submitted to this email box will not be accepted.

Join us at McKesson!
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTX1db191
  • Position Id: 4c130cfe7b558c4388bd2a92ab9d9f0b
  • Posted 5 hours ago
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