This listing doesn't post a salary. Most similar roles pay
$134,000–$192,625.
Based on 240 similar postings.
Employer
About Marathon Petroleum
Marathon Petroleum Corporation is one of the largest petroleum refining, marketing, retail, and transportation companies in the United States, operating an extensive refining network and Speedway convenience stores. Industry: Oil Refining & Energy
Marathon Petroleum currently has
16 open roles
on FindRole.
As a Senior Data Engineer, you will join the team to design, develop, and optimize scalable data pipelines and cloud-based solutions using modern architecture. You will be responsible for the innovation of extraction, ingestion, and transformation processes while managing high-volume data sets through complex data modeling and lifecycle management. The role involves collaborating with analytics, product, and governance teams to translate requirements into secure technical solutions. You will utilize a technology stack including Python, SQL, Spark, Azure Data Factory, Databricks, and Synapse Analytics. Key responsibilities include mentoring junior engineers, ensuring data quality, and implementing security measures for sensitive information. The work focuses on solving complex problems within the energy industry by managing large-scale data integration, real-time processing, and infrastructure planning to ensure reliable data flow across various organizational systems.
What does a Data Engineer earn?
Median $159062 from 182 postings across 55 companies.
Design, develop, and optimize scalable data pipelines and cloud-based solutions using Azure services like Synapse and Databricks.
Create and manage complex data architectures to process and store high-volume datasets.
Implement data security, privacy measures, and governance standards across all data engineering projects.
Perform complex data quality checks and processing tasks using open-source and cloud tools.
Provide technical expertise during critical incidents and resolve complex infrastructure problems.
Establish best practices for data integration, modeling, and lifecycle management.
Oversee quality assurance, testing, and monitoring for all data solutions.
Mentor less experienced engineers and contribute to engineering standards and reusable patterns.
What we're looking for
Bachelor’s Degree in Information Technology, a related field, or equivalent experience.
5+ years of relevant data engineering experience.
Proficiency in Python, SQL, Spark, and orchestration tools like Azure Data Factory or Databricks Workflows.
Experience designing and optimizing scalable data pipelines and cloud-based solutions using Azure services like Data Lake, Synapse Analytics, and Databricks.
Knowledge of big data technologies, distributed computing, and cloud platforms such as AWS, Azure, or GCP.
Ability to implement data governance, security, privacy measures, and quality management standards.
Proficiency in data modeling, integration from various sources, and managing the full data lifecycle.
Experience with NoSQL databases, real-time processing, and DevOps practices for continuous delivery.
Azure
Python
SQL
Spark
Databricks
Azure Data Factory
Data Lake
Synapse Analytics
Azure Functions
ETL
Hadoop
NoSQL
Big Data
Data Modeling
Data Warehousing
DevOps
Real-Time Processing