[Remote] Data Engineer
Note: The job is a remote job and is open to candidates in USA. McKesson is an impact-driven healthcare company focused on making quality care more accessible and affordable. The Data Engineer will design, develop, and maintain scalable data pipelines and platforms, lead ETL/ELT workflows, ensure data governance and reliability, and mentor junior engineers.
Responsibilities
- Independently design, develop, and maintain scalable, high performance data pipelines and data platforms
- Analyze business and technical requirements to design end to end data solutions, including data ingestion, transformation, data modeling, and data 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
- Collaborate closely with Product, QA, and upstream system owners to finalize data contracts, define SLAs, and ensure reliable and timely data delivery
- Debug complex data issues involving distributed processing, increasing data volumes, latency challenges, and upstream system changes
- 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 and contribute to team knowledge sharing
Skills
- Bachelor's degree, or foreign equivalent, in Computer Science, Computer Engineering or a related field and five (5) years of experience in the job offered or related field
- SQL to debug and fix application related issues
- Java to build new and enhance existing application
- Python to build new and enhance existing application
- MySQL to write queries to investigate and fix data issues associated to application
- Databricks to build and maintain scalable data pipelines for application data processing and analytics
- Amazon S3 to manage application data storage, retrieval, and integration with data processing workflows
- GitLab to version control application code and collaborate on development and deployment activities
- API calls to integrate external services and troubleshoot application functionality and data flow
- Katalon to automate application testing and validate functionality across different environments
Benefits
- 100% telecommuting allowed from any location in the U.S.
- An annual bonus may be offered.
- Long-term incentive opportunities may be offered.
Company Overview
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