Sr Data Platform Specialist
Location not identified
- Pay
$99,100–132,100/year · BaseAnnual period assumed — pay source
Our Base Pay Range for this position $99,100 - $132,100 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:
Read the full posting- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingDesign 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.
From the employer’s posting
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.
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.
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.
Tools in this posting
- Python
- SQL
- Hadoop
- Kafka
Source — Tool mentions in context
- 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.
- 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.
- 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.
- 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.
Posting record
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- Live
- First seen by us
- Sep 24, 2026 · 22d ago
- Recorded sightings
- 161
- Last seen by us
- Oct 16, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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 - $132,100McKesson 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) 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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- Pay
Our Base Pay Range for this position $99,100 - $132,100 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:
- Location & working pattern
Location not supplied.
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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