Data Platform Automation Engineer

Marathon Petroleum; San Antonio (TX); On-site; USD 110,000 - 150,000; Full time

Job summary

Marathon Petroleum is seeking a Data Operations Engineer to design, build, and automate data platform solutions across enterprise systems. You will work with senior engineers to deploy reusable automation, monitor pipelines, and support secure, governed data products and operational models.

The role focuses on improving reliability, scalability and engineering productivity using cloud platforms and modern DevOps practices. Experience with Cognite Data Fusion, Databricks, and Azure is preferred.

Qualifications

• Requires Bachelor's Degree in IT or a related field.
• Minimum 2+ years of relevant experience.
• Experience with cloud data platforms, pipelines and automation.
• Proficiency with Azure, Databricks and Cognite Data Fusion.
• Knowledge of SQL, Python, APIs and DevOps or monitoring tools.

Responsibilities

• Proactively identifies operational inefficiencies and suggests solutions.
• Manages platform updates and migrations independently.
• Implements security protocols for data platforms.
• Optimizes platform performance and scalability.
• Collaborates with IT teams for seamless system integrations.
• Participates in capacity planning and resource allocation.
• Maintains backups and disaster recovery procedures.
• Contributes to automation of routine platform tasks.
• Oversees data storage and ensures data integrity.
• Monitors platform health, pipelines, and data refreshes.
• Supports automated deployment, release, and configuration tasks.
• Maintains runbooks and documentation for troubleshooting.

Skills

Data governance

Data cleansing

Data ethics

Data classification

Education

Bachelor's Degree in Information Technology or related field

Tools

Azure

Databricks

Cognite Data Fusion

SQL

Python

APIs

DevOps

Monitoring tools

Job description

Marathon Petroleum is seeking a Data Operations Engineer to design, build, and automate data platform solutions across enterprise systems. You will work with senior engineers to deploy reusable automation, monitor pipelines, and support secure, governed data products and operational models.

The role focuses on improving reliability, scalability and engineering productivity using cloud platforms and modern DevOps practices. Experience with Cognite Data Fusion, Databricks, and Azure is preferred.