Sr Data Platform Specialist

McKesson

United States

On-site

USD 99,000 - 132,000

Full time

4 days ago
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Benefits offered by this job

Annual bonus
Long-term incentives

Job summary

McKesson, a Fortune 10 healthcare leader, seeks a Sr. Data Engineer to lead enterprise data infrastructure, build scalable pipelines and ensure data integrity in a regulated environment.

You'll collaborate with architects, analysts, and data scientists to deliver production-ready solutions that support strategic and operational objectives, mentoring junior engineers.

The role emphasizes governance, security, and quality across platforms, with competitive compensation and total rewards.

Qualifications

  • Experience designing scalable data pipelines and ETL across complex systems.
  • Advanced SQL and Python skills for data processing and optimization.
  • Strong data modeling and metadata management knowledge.
  • Familiarity with Hadoop, Kafka, and distributed storage.
  • Experience ensuring governance and regulatory compliance.
  • Ability to mentor junior engineers and lead teams.
  • Healthcare or regulated industry experience preferred.

Responsibilities

  • Design and implement scalable data pipelines and ETL integrating diverse sources.
  • Write and optimize SQL and Python queries to enhance performance.
  • Develop and maintain metadata repositories for enterprise systems.
  • Standardize data across platforms to improve reliability and quality.
  • Troubleshoot production and development data issues in DBMS.
  • Create query libraries and custom components to support analytics.
  • Recommend tools and best practices to boost data engineering capabilities.
  • Ensure governance and regulatory compliance through data quality checks.
  • Collaborate with architects and analysts to align data solutions.
  • Provide technical leadership and mentor junior teams.

Skills

Data pipelines
SQL
Python
Data modeling
Metadata management
Hadoop
Apache Kafka
Governance & compliance
Troubleshooting
Leadership mentoring

Education

Bachelor's degree

Job description

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.

Position Summary (Purpose of job):

The Data Engineering – Level 4 provides technical leadership in designing, implementing, and optimizing McKesson’s enterprise data infrastructure to enable advanced analytics and decision-making. This position is responsible for building scalable data pipelines, developing ETL programs, and ensuring data integrity, reliability, and compliance within a regulated environment.

The role involves creating custom software components, maintaining metadata repositories, and implementing processes for data standardization and quality improvements. Collaborating with architects, analysts, and data scientists, the Sr. Data Engineering role drives innovation in data engineering practices and contributes to the development of robust, production-ready solutions that support strategic and operational objectives.

Key Responsibilities
  • Design and implement scalable data pipelines and ETL programs to integrate complex data sources across internal and external systems.
  • Write and optimize advanced queries using SQL and Python to improve data processing and query performance.
  • Develop and maintain metadata repositories, ensuring data integrity, accuracy, and usability for enterprise systems.
  • Create and implement processes for data standardization, reliability, and quality improvements across platforms.
  • Troubleshoot and resolve complex data analytic issues, including production and development problems related to database management systems.
  • Develop and maintain query libraries and custom software components to support analytics and reporting needs.
  • Recommend and implement tools, technologies, and best practices to enhance data engineering capabilities and system performance.
  • Ensure adherence to governance, security, and regulatory compliance through rigorous data quality checks and documentation.
  • Collaborate with cross-functional teams to align data solutions with enterprise architecture and business priorities.
  • Provide technical leadership and mentor junior engineering teams to promote best practices and continuous improvement.
Minimum Job Qualifications (Knowledge, Skills, & Abilities)
  • Expertise in designing and maintaining data pipelines, ETL processes, and data integration across complex systems.
  • Advanced proficiency in SQL and Python for query optimization and data processing.
  • Strong knowledge of data modeling and design, including entity relationships and metadata management.
  • Familiarity with big data technologies such as Hadoop, Apache Kafka, and distributed file systems (HDFS).
  • Ability to implement processes for data standardization, reliability, and quality improvements.
  • Competence in troubleshooting complex data issues and resolving conflicts between models.
  • Skills in developing custom software components and analytics applications.
  • Effective communication and leadership skills for guiding technical decisions and mentoring team members.
Business Experience:
  • Bachelor’s degree or equivalent combination of education and experience. Typically requires 7+ years of relevant professional experience in data engineering or related fields.
  • Hands-on experience with advanced ETL development, SQL/Python scripting, and data integration across multiple platforms.
  • Experience in healthcare or other regulated industries is preferred.

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

$99,100 - $132,100

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) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

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