Data Operations Engineer

drive for MPC; San Antonio, Northern (TX, KY); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Health, vision & dental insurance

Paid time off

401k matching program

Paid parental leave

Educational reimbursement

Discretionary annual bonus program

Job summary

Marathon Petroleum Corporation (MPC) seeks a Data Platform Engineer to advance governance, automation and reliable data products across Cognite Data Fusion, Databricks and Azure Lakehouse. The role focuses on scalable pipelines, security controls and cross-team collaboration to enable AI-driven insights.

With 2+ years in data platforms and cloud tooling, you will optimize performance, monitor health, and contribute to trusted data ecosystems in a large enterprise environment.

Qualifications

• Bachelor’s Degree in Information Technology or related field.
• 2+ years of relevant experience in data platforms or similar roles.
• 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.

Responsibilities

• 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.
• Supports Cognite Data Fusion, Databricks, Azure and related services across platforms.

Skills

Data Governance

Data Quality

Data Stewardship

IAM

MDM

Platform Automation

Cloud Platforms

API Integration

DevOps & CI/CD

Observability

Education

Bachelor's Degree in Information Technology

2+ years of relevant experience

Tools

Azure

Databricks

Cognite Data Fusion

SQL

Python

APIs

DevOps

Monitoring tools

Job description

An exciting career awaits you At MPC, we’re 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.

Position Summary

Data, Analytics and AI is advancing Marathon Petroleum’s data ecosystem through trusted, governed and reusable data products that enable faster decisions, operational excellence and AI-driven innovation.

Key Responsibilities

• 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 elevate 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.

Education and Experience

Bachelor’s 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.

Skills

• 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 organization's 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 organization's 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, escalating 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

Bachelor’s Degree in Information Technology, related field or equivalent experience.

2+ years of relevant experience.

Location

San Antonio TX Additional locations: San Antonio, Texas

Benefits

• 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 https://mympcbenefits.com.
• The hired candidate will also be eligible for a discretionary company-sponsored annual bonus program.

Contract Type

Full time

Regular

Equal Opportunity Employer

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.

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 laws.

About Marathon Petroleum Corporation

Marathon Petroleum Corporation (MPC) is a leading, integrated, downstream energy company headquartered in Findlay, Ohio. The company operates the nation’s largest refining system. MPC’s marketing system includes branded locations across the United States, including Marathon brand retail outlets. MPC also owns the general partner and majority limited partner interest in MPLX LP, a midstream company that owns and operates gathering, processing, and fractionation assets, as well as crude oil and light product transportation and logistics infrastructure.