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.

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.

About The Role

We are seeking a highly skilled and motivated Data Engineer to join our dynamic team at McKesson. The ideal candidate will be responsible for designing, developing, and maintaining scalable, high-performance data pipelines and platforms that support our healthcare data initiatives. This role offers the opportunity to work remotely from any location within the United States, providing flexibility and the chance to contribute to impactful projects that influence healthcare delivery and patient outcomes.

The Data Engineer will analyze business and technical requirements to develop end-to-end data solutions, including data ingestion, transformation, modeling, and data serving layers. You will lead the design and implementation of complex ETL/ELT workflows, ensuring optimal performance, reliability, and cost efficiency. Additionally, the role involves implementing advanced Delta Lake features such as schema enforcement, schema evolution, and data versioning, all critical to maintaining high data quality and integrity.

Collaboration is key in this position. You will work closely with Product teams, QA, and upstream system owners to define data contracts, SLAs, and ensure timely and reliable data delivery. Troubleshooting complex data issues related to distributed processing, increasing data volumes, latency challenges, and upstream system changes will be part of your responsibilities. You will also enforce data governance, security, and compliance standards within Databricks, including access controls and cataloging solutions. Your expertise will contribute to design and code reviews, systemic issue identification, and continuous improvement initiatives. Mentoring junior engineers and sharing knowledge within the team will be encouraged to foster a culture of learning and excellence.

Qualifications

The successful 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 in data engineering or a similar role.

Applicants must demonstrate at least two (2) years of hands-on experience in each of the following areas:

• SQL for debugging and resolving application-related issues
• Java for building new applications and enhancing existing ones
• Python for developing and improving data processing workflows
• MySQL for writing queries to investigate and resolve data issues
• Databricks for building and maintaining scalable data pipelines
• Amazon S3 for managing data storage, retrieval, and integration
• GitLab for version control and collaboration on code development
• API calls for integrating external services and troubleshooting data flow
• Katalon for automating application testing and validation across environments

Strong analytical skills, problem-solving abilities, and a proactive approach to troubleshooting are essential. Familiarity with data governance, security protocols, and compliance standards within cloud and enterprise environments is preferred.

Responsibilities

Design, develop, and maintain scalable, high-performance data pipelines and platforms to support healthcare data initiatives.

Analyze business and technical requirements to craft comprehensive end-to-end data solutions, including data ingestion, transformation, modeling, and serving layers.

Lead the design and implementation of complex ETL/ELT workflows, optimizing for performance, reliability, and cost efficiency.

Implement advanced Delta Lake capabilities such as schema enforcement, schema evolution, and data versioning to ensure data quality and consistency.

Collaborate with Product, QA, and upstream system owners to define data contracts, SLAs, and ensure reliable data delivery.

Debug and resolve complex data issues involving distributed processing, increasing data volumes, latency challenges, and upstream system modifications.

Enforce data governance, security, and compliance standards within Databricks, including access controls and cataloging solutions.

Participate in design and code reviews, identify systemic issues, and propose improvements to data pipelines, orchestration, deployment, and observability.

Mentor junior engineers, foster knowledge sharing, and contribute to team development initiatives to enhance overall team capabilities.

Benefits

McKesson offers a competitive total rewards package, including a base salary ranging from $157,414 to $168,600 annually, commensurate with experience and performance. In addition to base pay, employees may be eligible for annual bonuses and long-term incentive opportunities. Our comprehensive benefits package includes health insurance, retirement plans, paid time off, and wellness programs designed to support your physical and mental well-being.

We also provide opportunities for professional growth through training, development programs, and mentorship. Our flexible work environment allows for remote work from any location within the U.S., promoting work-life balance and accommodating diverse lifestyles. McKesson is committed to fostering an inclusive workplace where all employees can thrive and contribute meaningfully to our mission of improving healthcare outcomes.

Equal Opportunity

McKesson is an Equal Opportunity