Data Engineer

About The Company

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.

We foster a culture where growth, innovation, and impact are at the core of our operations. Our commitment to improving healthcare outcomes drives us to continuously evolve and adapt to the changing landscape of the industry. With a focus on integrity, collaboration, and excellence, McKesson remains a leader in healthcare solutions, supporting providers, payers, and pharmacies across the globe.

Our dedication to diversity, equity, and inclusion ensures that we create a welcoming environment for all employees, fostering creativity and innovation through varied perspectives. As part of our mission, we leverage advanced technology and data-driven strategies to shape the future of healthcare, making a meaningful difference in the lives of millions worldwide.

About The Role

We are seeking a highly skilled Data Engineer to join our dynamic team. This role offers an exciting opportunity to design, develop, and maintain scalable, high-performance data pipelines and platforms that support critical business operations and analytics. The successful candidate will work closely with cross-functional teams, including product managers, quality assurance, and system owners, to deliver reliable and efficient data solutions that meet organizational needs.

Remote work flexibility is a key aspect of this role, with 100% telecommuting allowed from any location within the United States. The position involves analyzing complex business and technical requirements, leading the development of end-to-end data workflows, and implementing advanced data management capabilities using cutting-edge technologies like Delta Lake and Databricks. The Data Engineer will also play a vital role in ensuring data governance, security, and compliance standards are upheld, contributing to the overall integrity and quality of our data assets.

This is an excellent opportunity for a professional who is passionate about data engineering, eager to work on innovative projects, and committed to continuous learning and mentorship within a collaborative environment. The role offers a competitive salary and benefits package, reflecting the importance of this position within our organization.

Qualifications

The ideal candidate will possess a Bachelor's degree or foreign equivalent in Computer Science, Computer Engineering, or a related field, along with at least five (5) years of relevant experience. Demonstrated expertise in the following areas is required:

• Two (2) years of experience in SQL for debugging and resolving application-related issues.
• Two (2) years of experience in Java for building and enhancing applications.
• Two (2) years of experience in Python for developing and improving data processing workflows.
• Two (2) years of experience with MySQL for querying and troubleshooting data issues.
• Two (2) years of experience with Databricks for building scalable data pipelines and analytics.
• Experience managing data storage and retrieval using Amazon S3.
• Proficiency with GitLab for version control and collaborative development.
• Experience integrating external services via API calls and troubleshooting data flow issues.
• Knowledge of automation testing tools such as Katalon to validate application functionality.

Additional skills in data governance, security, and compliance are highly desirable, along with strong problem-solving and communication abilities.

Responsibilities

The Data Engineer will be responsible for a broad range of activities, including but not limited to:

• Designing, developing, and maintaining scalable, high-performance data pipelines and platforms that support enterprise data needs.
• Analyzing business and technical requirements to create end-to-end data solutions, including data ingestion, transformation, modeling, and serving layers.
• Leading the design and implementation of complex ETL/ELT workflows, optimizing for performance, reliability, and cost efficiency.
• Implementing advanced Delta Lake features such as schema enforcement, schema evolution, and data versioning to ensure data integrity.
• Collaborating closely with product teams, QA, and upstream system owners to define data contracts, SLAs, and ensure timely data delivery.
• Debugging complex data issues involving distributed processing, increasing data volumes, latency challenges, and upstream system modifications.
• Enforcing data governance, security, and compliance standards within Databricks, including access control and cataloging solutions.
• Participating in code reviews, identifying systemic issues, and proposing improvements to data pipelines, orchestration, deployment, and observability processes.
• Mentoring junior engineers, sharing best practices, and contributing to team knowledge sharing initiatives.

This role requires proactive problem-solving, attention to detail, and the ability to work effectively in a fast-paced, collaborative environment.

Benefits

McKesson offers a comprehensive benefits package designed to support the health, well-being, and professional growth of our employees. Our Total Rewards program includes competitive compensation, health insurance options, retirement plans, paid time off, and wellness programs. Employees also have access to ongoing training and development opportunities, flexible work arrangements, and resources to foster work-life balance.

In addition, McKesson provides various employee assistance programs, recognition initiatives, and a supportive work environment that encourages innovation and career advancement. We are committed to recognizing and rewarding our employees' contributions, ensuring they feel valued and empowered to succeed.

Equal Opportunity