Remote Data Analytics Engineer: Databricks & Data Quality

McKesson; Columbus (OH); Hybrid; USD 112,000 - 186,000; Full time

Benefits offered by this job

Location flexible

Hybrid work (DFW onsite 2 days)

Job summary

McKesson seeks a Data Analytics Engineer to design, implement, and own scalable data solutions for US Oncology datasets. The role focuses on reducing technical debt, strengthening data quality, and building governed data assets using Databricks and Python.

You will collaborate with data engineers, analysts, and stakeholders to deliver reliable analytics, dimensional models, and production-ready pipelines, while supporting governance, security, and long-term maintainability.

Qualifications

• 4+ years in data engineering or analytics engineering, delivering production data solutions.
• 4+ years of experience developing data solutions in Databricks or Snowflake; Databricks preferred.
• 4+ years of Python and SQL for data pipelines, validation, and automation.
• Hands-on experience implementing data quality controls, monitoring, and reusable validation frameworks.
• Experience with dimensional modeling, star schemas, and data warehousing.
• Ability to translate business rules into governed technical solutions and communicate with non-technical stakeholders.
• Strong understanding of data governance, security, quality, lineage, retention, and production support.

Responsibilities

• Design and implement reusable data quality validations and monitoring.
• Reduce technical debt by standardizing data engineering patterns and data flows.
• Design, test, document, and implement a governed data lifecycle purge process.
• Build trusted, reusable datasets including patient, doctor, and employee tables.
• Develop scalable star-schema models and improve query performance.
• Build data pipelines using Databricks, Python, APIs, and cloud services.
• Maintain data quality rules, lineage, and operational procedures for production readiness.
• Collaborate with data engineers, analysts, and stakeholders to deliver measurable improvements.

Skills

Data engineering

Analytics engineering

Python

SQL

Dimensional modeling

Governance

Education

Bachelor's degree or equivalent

Tools

Jira

Asana

Power BI

Azure

Job description

McKesson seeks a Data Analytics Engineer to design, implement, and own scalable data solutions for US Oncology datasets. The role focuses on reducing technical debt, strengthening data quality, and building governed data assets using Databricks and Python.

You will collaborate with data engineers, analysts, and stakeholders to deliver reliable analytics, dimensional models, and production-ready pipelines, while supporting governance, security, and long-term maintainability.