Specialist, Data Engineer
Role details
Job location
Tech stack
Job description
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., * 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.
Requirements
- 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
Benefits & conditions
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,
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.