Senior Data Engineer: Azure Data Pipelines & Benefits

Marathon Petroleum Corporation; Findlay (OH); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Health insurance

401k matching

Paid time off

Educational reimbursement

Job summary

Marathon Petroleum Corporation is seeking a Senior Data Engineer to design and optimize scalable data pipelines using Azure data services including Data Lake, Synapse, Azure Functions, and Databricks. The role emphasizes collaboration with analytics, product, and governance teams to translate requirements into robust data solutions.

Ideal candidates bring strong Python/SQL/Spark skills, experience with orchestration tools, and a mindset for continuous improvement, standards, and mentoring within

Qualifications

• Bachelor’s degree required in Information Technology or related field.
• 5+ years of relevant data engineering experience.
• Strong proficiency in Python, SQL, Spark, and orchestration tools such as Azure Data Factory and/or Databricks Workflows.

Responsibilities

• Design, develop, and optimize scalable data pipelines and cloud-based data solutions using Azure data services (Data Lake, Synapse, Azure Functions, Databricks).
• Collaborate with analytics, product, architecture, governance, and business teams to translate requirements into scalable data solutions.
• Mentor junior engineers and contribute to engineering standards and reusable patterns.
• Oversee QA and testing of data solutions and drive continuous improvement in data processing methods.

Skills

Python

SQL

Spark

Azure Data Factory

Databricks

Synapse Analytics

Azure Functions

Data Lake

Data Modeling

Data Governance

Data Integration

Data Security

DevOps

Education

Bachelor’s Degree in Information Technology or related field

Tools

Python

SQL

Spark

Azure Data Factory

Databricks

Synapse Analytics

Azure Functions

Job description

Marathon Petroleum Corporation is seeking a Senior Data Engineer to design and optimize scalable data pipelines using Azure data services including Data Lake, Synapse, Azure Functions, and Databricks. The role emphasizes collaboration with analytics, product, and governance teams to translate requirements into robust data solutions.

Ideal candidates bring strong Python/SQL/Spark skills, experience with orchestration tools, and a mindset for continuous improvement, standards, and mentoring within