Healthcare Data Engineer: Databricks, Python & BI

Wiraa; United States; Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Health, dental, and vision insurance

Hybrid work options

Competitive compensation package

Retirement savings with employer match

Paid time off and holidays

Professional development opportunities

Wellness programs

Performance-based bonuses

Job summary

McKesson's Ontada team seeks a Programmer/Analyst (P3) to design, build, and optimize enterprise-scale healthcare data platforms. You will create scalable data pipelines, analytics solutions, and cloud-based data engineering capabilities powering reporting and data-driven decisions.

The role blends deep technical work with collaboration across engineering, analytics, product, and business stakeholders to deliver reliable, high-performing data solutions while ensuring governance and regulatory

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Science, or related field.
• 4+ years of experience in data engineering, database engineering, software engineering, or related technical discipline.
• 3+ years of hands-on SQL and relational database experience.
• 2+ years of Python development and automation.
• 2+ years of experience with Databricks, Spark, or cloud-based data platforms.
• Experience with Power BI and/or Tableau.
• Experience in Agile development environments.
• Experience using GitHub and CI/CD processes.
• Strong analytical, troubleshooting, and problem-solving capabilities.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Databricks, Delta Lake, Apache Spark, SQL, and Python.
• Build and optimize ETL/ELT processes to support enterprise reporting and analytics.
• Develop efficient data models and database solutions for high-performance analytics.
• Partner with stakeholders to translate requirements into scalable data solutions.
• Create dashboards and visualizations using Power BI and Tableau.
• Ensure data quality, governance, and security across healthcare data platforms.
• Support ingestion, transformation, and integration of healthcare datasets.
• Implement data validation, monitoring, and observability for reliability.
• Design and support workflow orchestration with Databricks Workflows or Airflow.
• Contribute to cloud-based data modernization and enterprise analytics initiatives.
• Develop and maintain CI/CD pipelines and DevOps practices.
• Apply AI-assisted development tools to improve productivity and code quality.
• Participate in Agile ceremonies and collaborate across cross-functional teams.

Skills

SQL

Python

Agile development

Data analysis

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

Power BI

Tableau

GitHub

CI/CD pipelines

Airflow

Job description

McKesson's Ontada team seeks a Programmer/Analyst (P3) to design, build, and optimize enterprise-scale healthcare data platforms. You will create scalable data pipelines, analytics solutions, and cloud-based data engineering capabilities powering reporting and data-driven decisions.

The role blends deep technical work with collaboration across engineering, analytics, product, and business stakeholders to deliver reliable, high-performing data solutions while ensuring governance and regulatory