Data Engineer - Healthcare Analytics (Hybrid/Databricks)

MCKESSON; Little Canada (MN); Híbrido; USD 82.000 - 109.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work (two days in office)

Descripción de la vacante

McKesson is seeking a hands-on Data Specialist to design and maintain enterprise healthcare data pipelines using Databricks, Delta Lake, and Apache Spark. You will build scalable ETL/ELT processes for enterprise reporting and analytics, and collaborate with engineering, analytics, and product teams to meet business needs.

The role requires strong SQL and Python skills, experience with BI tools (Power BI/Tableau), and familiarity with GitHub-based CI/CD in Agile environments.

Formación

• Bachelor's degree in computer science, software engineering, information systems, data science, or related discipline; or equivalent experience.
• 4+ years in data engineering, database engineering, software engineering, or related technical field.
• 3+ years of hands-on SQL and relational database experience.
• 2+ years of Python development and automation experience.
• 2+ years using Databricks, Spark, or modern cloud data platforms.
• Experience with Power BI and/or Tableau.
• Experience in Agile development environments and using GitHub & CI/CD processes.
• Strong analytical, troubleshooting, and problem-solving skills.
• Hands-on expertise with Databricks, Delta Lake, Apache Spark; advanced SQL; strong Python for automation, data processing, integration, analytics.
• Experience designing and maintaining enterprise-scale data pipelines and processing frameworks.
• Experience with workflow orchestration tools (Databricks Workflows, Airflow, or equivalent).
• Understanding of modern data warehousing/lakehouse architectures and analytics best practices.
• Knowledge of GitHub source control practices (branch protections, PR reviews, release management).
• Experience building CI/CD pipelines (GitHub Actions) and testing, deployment automation, and infrastructure best practices.
• Experience using AI development tools (Claude Code, GitHub Copilot or equivalent).
• Preferred: Azure experience, healthcare analytics platforms, HL7/FHIR, data quality observability, ML, AI-enabled healthcare solutions.

Responsabilidades

• Design, develop, and maintain scalable data pipelines using Databricks, Delta Lake, Spark, SQL and Python.
• Build and optimize ETL/ELT processes for enterprise reporting, analytics, and operational data needs.
• Create efficient data models and database solutions for high-performance analytics and BI.
• Collaborate with engineers, product, analytics, and operations to translate business needs into scalable data solutions.
• Maintain data quality, governance, and security across healthcare data platforms.
• Support data ingestion, transformation, and integration for business use cases.
• Establish data validation, monitoring, and observability for reliable operations.
• Design and support workflow orchestration using Databricks Workflows, Airflow, or similar tools.
• Contribute to cloud data modernization and enterprise analytics platform initiatives.
• Develop and maintain CI/CD pipelines using GitHub and modern DevOps practices; use AI-assisted development tools.

Descripción del empleo

McKesson is seeking a hands-on Data Specialist to design and maintain enterprise healthcare data pipelines using Databricks, Delta Lake, and Apache Spark. You will build scalable ETL/ELT processes for enterprise reporting and analytics, and collaborate with engineering, analytics, and product teams to meet business needs.

The role requires strong SQL and Python skills, experience with BI tools (Power BI/Tableau), and familiarity with GitHub-based CI/CD in Agile environments.