Data Operations Engineer

At MPC were committed to being a great place to work one that welcomes new ideas encourages diverse perspectives develops our people and fosters a collaborative team environment.

Data Analytics and AI is advancing Marathon Petroleums data ecosystem through trusted governed and reusable data products that enable faster decisions operational excellence and AI-driven innovation. The Data Operations Engineer is an individual contributor who designs builds automates and integrates solutions across MPCs enterprise data platforms to improve reliability scalability and engineering productivity. This role applies software engineering automation API integration data engineering and cloud platform practices to connect data platforms streaming services observability tools and enterprise systems. The successful candidate will work with senior engineers architects and platform leads to develop reusable automation implement repeatable integration patterns support deployments troubleshoot issues strengthen monitoring and contribute to secure governed and resilient data platform capabilities.

This position belongs to a family of jobs with increasing responsibility competency and skill level. Actual position title and pay grade will be based on the selected candidates experience and qualifications.

• Proactively identifies operational inefficiencies and recommends solutions.

• Independently manages platform updates and migrations.
• Implements and upholds security protocols for data platforms.
• Assists in optimizing the platform for performance and scalability.
• Collaborates with other IT departments for seamless system integrations.
• Participates in capacity planning and resource allocation.
• Maintains system backups and disaster recovery procedures.
• Contributes to the automation of routine platform tasks.
• Oversees data storage solutions and ensures data integrity.
• Stays updated with the latest platform technologies and best practices.
• Support reliable operations across enterprise data platforms using established runbooks standards and procedures.
• Build reusable automation workflows and platform utilities for Cognite Data Fusion Databricks Azure and related services.
• Support ingestion transformation API integration and contextualization for governed data products and operational models.
• Monitor platform health pipeline execution alerts and data refreshes; investigate issues and escalate with clear analysis.
• Assist with automated deployment release configuration and validation using approved DevOps and CI/CD practices.
• Maintain runbooks support documentation and lessons learned to improve troubleshooting and reduce recurring issues.
• Apply enterprise standards for security IAM governance compliance and data handling.
• Collaborate with architects engineers platform leads product teams and vendors to deliver scalable automation and integration solutions.
• Execute provisioning configuration integration monitoring and support tasks across data platform services.
• Support Cognite Data Fusion Databricks Azure Lakehouse streaming API integration and observability workflows.
• Contextualize assets time series events documents and metadata for analytics AI and data product activation.
• Validate data loads refreshes model updates and integration flows across environments.
• Follow architecture platform security and governance standards for scalable data product capabilities.

• Bachelors Degree in Information Technology related field or equivalent experience required.
• Two (2) or more years of relevant experience required.
• Experience with cloud data platforms pipelines integrations or automation preferred.
• Experience with Azure Databricks Cognite Data Fusion SQL Python APIs DevOps or monitoring tools preferred.
• Exposure to production support incident triage deployment validation and documentation preferred.
• Ability to learn quickly follow standards collaborate across teams and deliver reliable solutions.

• Data Classification - Knowledge of the process of formally grouping Configuration Items by type e.g. software hardware documentation environment application. Knowledge of the process of formally identifying Changes by type e.g. project scope change request corrective change request innovative function change request technical infrastructure change request. And knowledge of the process of formally identifying Incidents Problems and Known Errors by origin symptoms and cause.
• Data Cleansing - Data scrubbing also called data cleansing is the process of amending or removing data in a database that is incorrect incomplete improperly formatted or duplicated.
• Data Ethics - Knowledge of ethical considerations related to data usage data-driven technologies and strategies to mitigate biases in data-driven decision-making.
• Data Governance - Ability to establish and oversee a set of procedures policies and standards that ensure the effective and efficient management of an organizations data assets. This includes ensuring data quality compliance with relevant laws and regulations and secure data handling practices. It also involves the coordination between different departments to ensure that data is accurate accessible and used responsibly and ethically.
• Data Governance Communication - Data governance communication involves the effective dissemination of policies guidelines and best practices related to the management and use of data within an organization. It aims to ensure clear understanding compliance and collaboration among stakeholders fostering a culture of responsible and consistent data practices.
• Data Governance Framework - Proficiency in implementing and managing data governance frameworks policies and standards to ensure data quality integrity and compliance.
• Data Governance Tools - Familiarity with data governance tools and technologies that facilitate data management metadata management and data governance workflows.
• Data Privacy - Ability to understand and implement practices that ensure the protection and confidential handling of personal and sensitive information. This includes knowledge of relevant laws and regulations (such as GDPR or HIPAA) the ability to design and enforce policies that safeguard data and the skills to manage data access rights and consent protocols.
• Data Quality Management - Strong understanding of data quality dimensions methodologies and best practices to establish and maintain data quality standards and processes.
• Data Stewardship - Proficiency in data stewardship practices including data classification metadata management data lineage and data lifecycle management.
• Identity Access Management (IAM) - Identity and access management (IAM) is a framework of business processes policies and technologies that facilitates the management of electronic or digital identities ensuring that the right users have the appropriate access to technology resources.
• Master Data Management (MDM) - Master Data Management (MDM) is a method of managing and organizing an organizations critical data to ensure consistency accuracy and coherence across various systems. It involves establishing a single authoritative source for key data entities such as customer information product details and other essential business data.
• Platform Automation - Ability to design and implement reusable automation scripts and workflows that reduce manual effort and improve consistency across enterprise data platform operations.
• Cloud Data Platforms - Knowledge of cloud-based data platforms such as Azure Databricks and Cognite Data Fusion including platform services data workflows and operational support practices.
• API Integration - Ability to support API-based integrations that connect data platforms source systems streaming services observability tools and enterprise applications.
• DevOps and CI/CD - Familiarity with automated deployment release configuration and validation practices using approved DevOps and CI/CD methods.
• Platform Monitoring and Observability - Ability to monitor platform health pipeline execution alerts telemetry and data refreshes to support reliable data platform operations.
• Incident Triage and Troubleshooting - Ability to investigate operational issues document findings escalate complex incidents and support timely resolution of platform and data workflow problems.
• Data Product Enablement - Understanding of how governed data products contextualized data and reusable platform capabilities support analytics AI and business decision-making.

MINIMUM QUALIFICATIONS:
Bachelors Degree in Information Technology related field or equivalent experience.
2 years of relevant experience

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Marathon Petroleum Company LP is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without discrimination on the basis of race color religion creed sex gender (including pregnancy childbirth breastfeeding or related medical conditions) sexual orientation gender identity gender expression reproductive health decision-making age mental or physical disability medical condition or AIDS/HIV status ancestry national origin genetic information military veteran status marital status citizenship or any other status protected by applicable federal state or local laws. If you would like more information about your EEO rights as an applicant click here.

If you need a reasonable accommodation for any part of the application process at Marathon Petroleum LP please contact our Human Resources Department at . Please specify the reasonable accommodation you are requesting along with the job posting number in which you may be interested. A Human Resources representative will review your request and contact you to discuss a reasonable accommodation. Marathon Petroleum offers a total rewards program which includes but is not limited to access to health vision and dental insurance paid time off 401k matching program paid parental leave and educational reimbursement. Detailed benefit information is available at.The hired candidate will also be eligible for a discretionary company-sponsored annual bonus program.

Equal Opportunity Employer: Veteran / Disability

We will consider all qualified Applicants for employment including those with arrest or conviction records in a manner consistent with the requirements of applicable state and local reviewing criminal history in connection with a conditional offer of employment Marathon will consider the key responsibilities of the role.