Senior Data Engineer

Marathon Petroleum Corporation

. Design, develop, and optimize scalable data pipelines and cloud-based data solutions .

Posted 9/29/2026full-timeUnited StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and optimizing scalable data pipelines and cloud-based data solutions, with a strong focus on data governance, security, and quality assurance. Proficient in leveraging big data technologies and cloud platforms to drive continuous improvements in data processing methods.

Highest-signal resume keywords

Data Engineering ExperienceCloud-Based Data PlatformsETL ProcessesData Governance ProceduresPython and SQL Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData Extraction and TransformationData ModelingData Quality AssuranceBig Data TechnologiesNoSQL DatabasesReal-Time ProcessingMetadata ManagementData Privacy RegulationsCybersecurity Best Practices

Soft Skills

Problem SolvingCollaborationMentoring

Tools & Technologies

AWSAzureGCPHadoopSparkAzure Data LakeSynapse AnalyticsAzure FunctionsDatabricksAzure Data Factory

Industry Keywords

Data ArchitectureData IntegrationData LifecycleData SecurityData Processing Methods

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityETLGoogle Cloud PlatformHadoopNoSQLOpen SourcePythonSparkSQL

About the role

Key responsibilities & impact

Design, develop, and optimize scalable data pipelines and cloud-based data solutions
Design, innovate, and optimize data extraction, ingestion, and transformation processes
Facilitate development and design of complex data architecture for high-volume datasets
Enable development of complex data pipelines and implement data security and privacy measures
Conduct complex data quality and processing tasks using open source and cloud services
Provide technical expertise during critical incidents
Collaborate with other departments to ensure seamless data integration
Implement continuous improvements in data processing methods
Drive consistency and best practices across data engineering projects
Solve complex problems and participate in strategic planning for data infrastructure
Oversee quality assurance and testing for data solutions
Mentor less experienced data engineers
Collaborate with analytics, product, architecture, governance, and business teams
Contribute to engineering standards, reusable patterns, and solution design reviews

Requirements

What you’ll need

Bachelor’s Degree in Information Technology, related field or equivalent experience
5+ years of relevant data engineering experience
Familiarity with big data technologies and frameworks, such as Hadoop, Spark, and distributed computing
Knowledge of cloud-based data platforms, such as AWS, Azure, or GCP, and associated services
Ability to establish and oversee data governance procedures, policies, and standards
Proficiency in data integration using ETL processes, data pipelines, and data ingestion frameworks
Skill in designing and implementing data models
Understanding of data operations throughout the data lifecycle
Understanding of data privacy regulations and secure handling of sensitive information
Strong understanding of data quality dimensions, methodologies, and best practices
Knowledge of cybersecurity best practices and data protection techniques
Knowledge of monitoring and observability tools and practices
DevOps knowledge
General programming ability
Proficiency in metadata management solutions
Knowledge of NoSQL databases
Knowledge of real-time processing
Ability to work with Azure Data Lake, Synapse Analytics, Azure Functions, and Databricks
Strong proficiency in Python, SQL, Spark, and orchestration tools such as Azure Data Factory and/or Databricks Workflows

Benefits

Comp & perks

Health insurance
Vision insurance
Dental insurance
Paid time off
401k matching program
Paid parental leave
Educational reimbursement
Discretionary company-sponsored annual bonus program