501 Analytical Engineering jobs in Columbus,OH

Our Base Pay Range for this position

$106,500 - $177,500

Competitive compensation package at McKesson as part of our Total Rewards

Annual bonus or long-term incentive opportunities may be offered

For more information regarding benefits at McKesson, please click here.

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field, or equivalent experience.

4+ years of experience in Data Engineering, Data Platform Engineering, Cloud Engineering, or related disciplines.

Experience administering Databricks environments.

Experience with Terraform and Infrastructure as Code practices.

Experience supporting Azure cloud services and infrastructure.

Experience developing and maintaining data ingestion solutions.

Strong SQL and troubleshooting skills.

Experience supporting production environments and operational workloads.

Understanding of data modeling, data governance, and modern data architecture concepts.

Experience with Unity Catalog and Databricks governance capabilities.

Experience supporting Azure Data Lake, Snowflake, or related cloud data technologies.

Experience with Python and data engineering automation.

Experience working in large-scale cloud analytics environments.

Experience supporting CI/CD and deployment automation practices.

Healthcare or regulated industry experience.

Competitive Base Salary

Regional Bonus

Manager Lease Car Program (No Cost - Car, Maintenance, and Insurance included)

Industry-leading Benefit Plans (Medical, Dental, Vision, Rx)

Paid time off, including vacation, holidays, shutdown

Company Paid Short-Term and Long-Term Disability

401K Plan with company match + additional contribution

Relocation assistance (if eligible)

Tuition Assistance & Student Loan Repayment

Wellbeing Program

Community Service and Engagement Programs

Product Programs

Lifestyle Account

Childcare Reimbursement Account

Elder Care Support

Education Reimbursement for Continued learning

Training and Development Programs

This is an onsite job. One remote workday per week, may be possible with prior departmental approval.

Bachelor's degree in Computer Science, Information Systems, Data Engineering/ Data Science, or related field

8+ years of experience in data architecture, solution architecture, enterprise data platforms, or analytics architecture

Demonstrated experience supporting AI/ML, advanced analytics, or data‑driven product initiatives

Experience operating in federated governance or hub‑and‑spoke operating models

Experience with data profiling and data quality management

This position is not eligible for work visa sponsorship

This is an onsite job. One remote workday per week, may be possible with prior departmental approval.

Lead the design of logical, physical, and semantic data architectures to support AI, advanced analytics, GenAI and Agentic AI use cases

Define AI‑ready data models, feature‑oriented structures, and analytics‑ready data assets aligned to enterprise data platforms

Ensure architectural alignment between data platforms, AI tooling, and MLOps pipelines

Support design and governance of the Foundry Ontology layer as the enterprise semantic backbone for AI use cases

Architect data flows and patterns supporting AI POCs, experimentation environments, and sandbox platforms

Guide data sourcing, profiling, and readiness activities for AI Data Scientists, Data and AI Engineers

Own the data architecture stage-gate process across POC, expanded pilot, and production phases; define and maintain AI-readiness scorecards to assess data asset maturity at each stage

Architect integrations across source systems, data platforms, analytics tools, and AI services

Evaluate and onboard new data sources and technologies to meet evolving AI requirements

Define reference architecture and architectural guardrails for cloud, hybrid, and global deployments

Lead/support solution architecture development for projects/products, where necessary

Mentor junior architects, data engineers and provide architectural guidance to delivery teams

Contribute to AI Hub (COE), communities of practice, standards bodies, and architecture review forums